CN110347710A

CN110347710A - Data extraction method, device, equipment and storage medium

Info

Publication number: CN110347710A
Application number: CN201910624852.0A
Authority: CN
Inventors: 周鑫
Original assignee: Suzhou Da Jia Ying Information Technology Co Ltd
Current assignee: Suzhou Da Jia Ying Information Technology Co Ltd
Priority date: 2019-07-11
Filing date: 2019-07-11
Publication date: 2019-10-18
Anticipated expiration: 2039-07-11
Also published as: CN110347710B

Abstract

The embodiment of the invention discloses a kind of data extraction method, device, equipment and storage mediums.The described method includes: the action process for obtaining first kind target person calculates the action process data of data and the second class target person；Using the first data extracting rule, data are calculated to the action process and carry out data extraction, obtain the first behavior start-stop data of the first kind target person；Using the second data extracting rule, data extraction is carried out to the action process data, obtains the second behavior start-stop data of the second class target person.The technical solution of the embodiment of the present invention solves the labor service information of the job applicant provided in the prior art according to laboring service company, the lower technological deficiency of accuracy for entering the date of leaving office of identified labor service personnel, by using different classes of data, it determines the behavior start-stop data of different classes of labor service personnel, realizes and accurate determine that labor service personnel enter to leave office the date.

Description

Data extraction method, device, equipment and storage medium

Technical field

The present embodiments relate to data processing technique more particularly to a kind of data extraction method, device, equipment and storages Medium.

Background technique

Job applicant is generally by the process that labour market to factory is applied for, and job applicant arrives employment agency first Carried out job applicant's information registration, then employment agency leads job applicant public to the labor service with Existed in Labor Services Dispatching qualification Department, last laboring service company, which leads job applicant to factory, to interview.Based on the above process, employment agency and laboring service company Between and laboring service company and factory between can generate the correlative charges as brought by the flowing of job applicant.

In general, factory can be by the labor service information of job applicant (such as the information that has an interview, registration information and leaving office Information etc.) it timely feedbacks to laboring service company, therefore, and compared with employment agency, the labor for the job applicant that laboring service company is grasped Information of being engaged in is more comprehensively and more accurate.So employment agency generally will use the labor of the job applicant of laboring service company's offer Information of being engaged in (such as compensation data, registration date and leave office date), determining due to job applicant to factory's utility service Give itself bring income.

Inventor in the implementation of the present invention, it is found that defect of the existing technology is: what laboring service company provided The labor service information of job applicant often will appear mistake, for example, the registration date that front and back provides twice is inconsistent, the date of leaving office lacks It loses and the registration date is date in future etc., statistics is caused to obtain the on-job number and on-job number of days misalignment of job applicant, into And make the accrued revenues accuracy being calculated according to the labor service information of job applicant lower, employment agency may be given Bring biggish loss.

Summary of the invention

The embodiment of the invention provides a kind of data extraction method, device, equipment and storage mediums, accurately true to realize Determine labor service personnel to enter to leave office the date.

In a first aspect, the embodiment of the invention provides a kind of data extraction methods, comprising:

The action process for obtaining first kind target person calculates the action process number of data and the second class target person According to；

Using the first data extracting rule, data are calculated to the action process and carry out data extraction, obtain described first First behavior start-stop data of class target person；

Using the second data extracting rule, data extraction is carried out to the action process data, obtains second classification The second behavior start-stop data of mark personnel.

In the above-mentioned methods, optionally, it is described use the second data extracting rule, to the action process data into Row data are extracted, after obtaining the second behavior start-stop data of the second class target person, further includes:

The first behavior start-stop data and the second behavior start-stop data are modified, obtain revised first Behavior start-stop data and revised second behavior start-stop data.

In the above-mentioned methods, optionally, described to use the first data extracting rule, data are calculated to the action process Data extraction is carried out, the first behavior start-stop data of the first kind target person are obtained, comprising:

The behavior from date in data is calculated according to the action process, determines the behavior of the first kind target person Accurate from date；

If it includes the behavior date of expiry in data that the action process, which calculates, according to the behavior date of expiry, really The behavior exact end date of the fixed first kind target person；

If it does not include the behavior date of expiry that the action process, which calculates in data, but calculates deadline including behavior Phase then calculates the deadline according to the behavior, determines the behavior exact end date of the first kind target person；

If it does not include the behavior date of expiry that the action process, which calculates in data, and does not include that behavior calculates cut-off Date, then when the time interval between the accurate from date of the behavior and current date, which is greater than, calculates time interval threshold value, The accurate from date of the behavior is determined as to the behavior exact end date of the first kind target person.

In the above-mentioned methods, optionally, if it includes the behavior date of expiry in data that the action process, which calculates, Then according to the behavior date of expiry, the behavior exact end date of the first kind target person is determined, comprising:

If it includes the behavior date of expiry that the action process, which calculates in data, the behavior date of expiry is judged It is whether abnormal；

If the behavior date of expiry is abnormal, it is determined that it does not include that the behavior terminates that the action process, which calculates in data, Date；

If the behavior date of expiry is normal, according to the behavior date of expiry, the first kind target person is determined The behavior exact end date.

In the above-mentioned methods, optionally, the behavior from date calculated according to the action process in data, really The accurate from date of behavior of the fixed first kind target person, comprising:

The action process is calculated into the behavior in data the latest and calculates behavior starting date corresponding to the deadline Phase, the accurate from date of behavior as the first kind target person.

In the above-mentioned methods, optionally, described that the deadline is calculated according to the behavior, determine the first kind target The behavior exact end date of personnel, comprising:

If the action process calculates the behavior in data the latest and calculates between deadline and current date Time interval is greater than the calculating time interval threshold value, then the action process is calculated the behavior in data the latest and calculated Deadline, the behavior exact end date as the first kind target person；

If the action process calculates the behavior in data the latest and calculates between deadline and current date Time interval is less than or equal to the calculating time interval threshold value, it is determined that there is no the behavior standards for the first kind target person The true date of expiry.

In the above-mentioned methods, optionally, the action process calculating data include:

Month action process calculates data and all action processes calculate data；

Correspondingly, described to use the first data extracting rule, data are calculated to the action process and carry out data extraction, are obtained To the first behavior start-stop data of the first kind target person, comprising:

The behavior from date in data is calculated according to the moon action process, determines the row of the first kind target person For accurate from date；

If it includes the moon behavior date of expiry that the moon action process, which calculates in data, according to the moon behavior expiration date Phase determines the behavior exact end date of the first kind target person；

If in the moon action process calculating data not including the moon behavior date of expiry, but all action processes It calculates in data and determines the first kind target person then according to the Zhou Hangwei date of expiry including the Zhou Hangwei date of expiry The behavior exact end date；

If in the moon action process calculating data not including the moon behavior date of expiry, and all action processes Calculating in data does not include the Zhou Hangwei date of expiry yet, then calculates the Zhou Hangwei in data according to all action processes and count The deadline is calculated, determines the behavior exact end date of the first kind target person.

In the above-mentioned methods, optionally, the Zhou Hangwei calculating section calculated according to all action processes in data The only date determines the behavior exact end date of the first kind target person, comprising:

If the week action process calculates the Zhou Hangwei in data and calculates deadline non-empty, according to the Zhou Hangwei The deadline is calculated, determines the behavior exact end date of the first kind target person；

If the week action process calculates the Zhou Hangwei in data and calculates the deadline for sky, according to the moon behavior Process calculates the moon behavior in data and calculates the deadline, determines the behavior exact end date of the first kind target person.

In the above-mentioned methods, optionally, described to the first behavior start-stop data and the second behavior start-stop number According to being modified, revised first behavior start-stop data and revised second behavior start-stop data are obtained, comprising:

If the behavior exact end date earlier than the accurate from date of the behavior, by the behavior exact end Date is modified to the date identical with the accurate from date of the behavior；

If the behavior calculating that the behavior exact end date and the action process calculate in data the latest is cut Only the time interval between the date be greater than the first setting time interval threshold, then by the behavior exact end date be modified to The behavior the latest calculates deadline on the identical date.

In the above-mentioned methods, optionally, described to use the second data extracting rule, the action process data are carried out Data are extracted, and the second behavior start-stop data of the second class target person are obtained, comprising:

According to the giver identification in the action process data, the accurate personnel mark of the second class target person is determined Know；

According to the accurate giver identification date corresponding in the action process data, second classification is determined The behavior of mark personnel accurate Start Date and behavior accurate deadline.

In the above-mentioned methods, optionally, the giver identification according in the action process data determines described The accurate giver identification of two class target persons, comprising:

The different people occurred in the action process data described in any one described second class target person corresponding each item Member's mark, according to the giver identification at this action process data described in corresponding each item of any one described second class target person The total degree of middle appearance, is ranked up；

First giver identification in ranking results is chosen as giver identification to be identified；

Judge whether the total number of letter and number included by the giver identification to be identified is greater than setting number threshold value；

If the total number of letter and number included by the giver identification to be identified is greater than setting number threshold value, by institute Giver identification to be identified is stated, accurate giver identification of any one the second class target person as this；

If the total number of letter and number included by the giver identification to be identified is less than or equal to setting number threshold value, The giver identification after the giver identification to be identified will be located in the ranking results, as new giver identification to be identified, And it returns to execution and judges whether the total number of letter and number included by the giver identification to be identified is greater than setting number threshold The operation of value, until having traversed the ranking results.

In the above-mentioned methods, optionally, it is described according to the accurate giver identification in the action process data institute The corresponding date determines the behavior accurate Start Date and behavior accurate deadline of the second class target person, comprising:

It will include in action process data described in each item of the accurate giver identification, the most behavior of number of repetition starts Date, the behavior accurate Start Date as the second class target person；

If the behavior deadline is not all in action process data described in each item including the accurate giver identification Sky then will include the most behavior deadline of number of repetition in action process data described in each item of the accurate giver identification Phase, the behavior accurate deadline as the second class target person.

If in action process data described in each item including the accurate giver identification, the behavior deadline is all empty, It then will include the behavior calculating deadline corresponding to action process data described in each item of the accurate giver identification the latest, The behavior accurate deadline as the second class target person.

By the behavior accurate deadline earlier than the behavior accurate Start Date the second class target person second Behavior start-stop data are deleted；

Time interval between the behavior accurate deadline and the behavior accurate Start Date is greater than second to set Fix time interval the second class target person the second behavior start-stop data delete.

Second aspect, the embodiment of the invention also provides a kind of data extraction devices, comprising:

Data acquisition module, the action process for obtaining first kind target person calculate data and the second class target The action process data of personnel；

First behavior start-stop data extraction module calculates the action process for using the first data extracting rule Data carry out data extraction, obtain the first behavior start-stop data of the first kind target person；

Second behavior start-stop data extraction module, for using the second data extracting rule, to the action process data Data extraction is carried out, the second behavior start-stop data of the second class target person are obtained.

The third aspect, the embodiment of the invention also provides a kind of equipment, the equipment includes:

One or more processors；

Storage device, for storing one or more programs,

When one or more of programs are executed by one or more of processors, so that one or more of processing Device realizes the data extraction method as described in any embodiment of that present invention.

Fourth aspect, it is described the embodiment of the invention also provides a kind of storage medium comprising computer executable instructions Computer executable instructions are mentioned when being executed as computer processor for executing the data as described in any embodiment of that present invention Take method.

The embodiment of the invention provides a kind of data extraction method, device, equipment and storage mediums, by using the first number Data are calculated to action process according to extracting rule and carry out data extraction, obtain the first behavior start-stop number of first kind target person According to, meanwhile, data extraction is carried out to action process data using the second data extracting rule, obtains the of the second class target person Two behavior start-stop data solve the labor service information of the job applicant provided in the prior art according to laboring service company, identified The lower technological deficiency of accuracy for entering the date of leaving office of labor service personnel, by using different classes of data, to determine difference The behavior start-stop data of the labor service personnel of classification realize and accurate determine that labor service personnel enter to leave office the date.

Detailed description of the invention

Fig. 1 is the flow chart for the data extraction method that the embodiment of the present invention one provides；

Fig. 2 is the flow chart of data extraction method provided by Embodiment 2 of the present invention；

Fig. 3 is the flow chart for the data extraction method that the embodiment of the present invention three provides；

Fig. 4 is the flow chart for the data extraction method that the embodiment of the present invention four provides；

Fig. 5 is the structure chart for the data extraction device that the embodiment of the present invention five provides；

Fig. 6 is a kind of structure chart for equipment that the embodiment of the present invention six provides.

Specific embodiment

The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched The specific embodiment stated is used only for explaining the present invention rather than limiting the invention.It also should be noted that in order to just Only the parts related to the present invention are shown in description, attached drawing rather than entire infrastructure.

Embodiment one

Fig. 1 is a kind of flow chart for data extraction method that the embodiment of the present invention one provides, and the present embodiment is applicable to really Determine labor service personnel enter to leave office the date the case where, this method can be executed by data extraction device, which can be by soft Part and/or hardware realization, the device can be integrated in the equipment such as server.As shown in Figure 1, this method specifically includes following step It is rapid:

S101, the action process for obtaining first kind target person calculate the behavior of data and the second class target person Number of passes evidence.

In the present embodiment, the behavior start-stop data of target person are obtained by step 101 to step 103.In this implementation In example, target person is divided into two classes, wherein first kind target person is that the people of data is calculated with corresponding action process Member, the second class target person are that the personnel of data are calculated without corresponding action process.

Specifically, action process data, which specifically can be, implements some or certain behaviors for recording first kind target person The contents such as node time, embodiment data.Action process calculates data and specifically can be for recording first kind target Personnel are after implementing some or certain behaviors, obtained behavior outcome data.Illustratively, action process data can be people Member is in initial time, the end time etc. of enterprise work, and correspondingly, action process, which calculates data, can be personnel in enterprise work Obtained monthly pay data, such as the corresponding calculating from date of monthly pay and calculating deadline etc..

Further, for first kind target person, action process can be used and calculate data to obtain behavior Only data；For the second class target person, action process data can be used to obtain behavior start-stop data.

S102, the first classification is obtained to action process calculating data progress data extraction using the first data extracting rule The first behavior start-stop data of mark personnel.

In the present embodiment, after the action process for obtaining first kind target person calculates data, usage behavior process The corresponding first data extracting rule of data is calculated, subordinate act process calculates in data, extracts the first of first kind target person Behavior start-stop data.Wherein, the first behavior start-stop data specifically can be first kind target person implementation action process and calculate number Initial time and end time according to corresponding behavior.

In general, action process calculates each period that will include in the action process that personnel are implemented in data Behavior outcome data.Illustratively, it if action process calculates the compensation data that data are first kind target person, goes It is calculated in data for process, will include the compensation data of first kind target person each moon.

Further, due to that all can include the first kind in the behavior outcome data of each above-mentioned period in general Target person implements the initial time of behavior process, meanwhile, in the behavior outcome data of the last one period, it is also possible to wrap It includes first kind target person and implements the end time of behavior process, even if not including that first kind target person implements behavior mistake The end time of journey, the corresponding result of behavior outcome data that the last one period also can be used calculate deadline, come Determine that first kind target person implements the end time of behavior process, so, data can be calculated according to action process, obtained First behavior start-stop data of first kind target person.

S103, the second class target person is obtained to the progress data extraction of action process data using the second data extracting rule The second behavior start-stop data of member.

In the present embodiment, after the action process data for obtaining the second class target person, usage behavior process data Corresponding second data extracting rule in subordinate act process data, extracts the second behavior start-stop data of the second class target person. Wherein, the second behavior start-stop data specifically can be that the second class target person implements behavior corresponding to action process data Begin time and end time.

In general, it will include the timing node number in the action process that personnel are implemented in action process data According to.Illustratively, if action process data are operational data of the second class target person in enterprise, action process data In, it will include the second class target person in initial time, the termination time etc. of enterprise work.It therefore, can be according to action process Data obtain the second behavior start-stop data of the second class target person.

The embodiment of the invention provides a kind of data extraction methods, by using the first data extracting rule to action process It calculates data and carries out data extraction, obtain the first behavior start-stop data of first kind target person, meanwhile, it is mentioned using the second data It takes rule to carry out data extraction to action process data, obtains the second behavior start-stop data of the second class target person, solve The labor service information of the job applicant provided in the prior art according to laboring service company, identified labor service personnel's enters to leave office the date The lower technological deficiency of accuracy, by using different classes of data, to determine that the behavior of different classes of labor service personnel rises Only data realize and accurate determine that labor service personnel enter to leave office the date.

On the basis of the various embodiments described above, the first data extracting rule will be used, data are calculated to action process and are carried out Data are extracted, and are obtained the first behavior start-stop data of first kind target person, are embodied as: being calculated in data according to action process Behavior from date, determine the accurate from date of the behavior of first kind target person；It is wrapped in data if action process calculates The behavior date of expiry is included, then according to the behavior date of expiry, determines the behavior exact end date of first kind target person；If row Calculating in data for process does not include the behavior date of expiry, but calculates the deadline including behavior, then is calculated and ended according to behavior Date determines the behavior exact end date of first kind target person；If it does not include behavior end that action process, which calculates in data, The only date, and do not include that behavior calculates the deadline, then when the time interval between the accurate from date of behavior and current date When greater than calculating time interval threshold value, the accurate from date of behavior is determined as to the behavior exact end day of first kind target person Phase.

In the present embodiment, it includes behavior from date that action process, which calculates in data, it is also possible to include behavior end Only date, behavior calculate the deadline, these dates are determined for the first behavior start-stop data of first kind target person, It is at once accurate from date and behavior exact end date.

Specifically, the accurate from date of the behavior of first kind target person is the behavior calculated in data according to action process Determined by from date.The behavior exact end date of first kind target person is the row calculated in data according to action process Deadline is calculated by date of expiry, behavior or the accurate from date of behavior determines.

The benefit being arranged in this way is: when action process calculates data content included in data not it is also possible to quasi- Determine the behavior exact end date of first kind target person.

On the basis of the various embodiments described above, the second data extracting rule will be used, data are carried out to action process data It extracts, obtains the second behavior start-stop data of the second class target person, be embodied as: being marked according to the personnel in action process data Know, determines the accurate giver identification of the second class target person；It is corresponding in behavior process data according to accurate giver identification Date determines the behavior accurate Start Date and behavior accurate deadline of the second class target person.

It in the present embodiment, further include the giver identification for having the second class target person, giver identification in action process data For one the second class target person of unique identification, specifically, the second class target person institute that action process data include Each timing node data in an action process implemented can respectively correspond a giver identification.Due to there is artificial behaviour The case where making mistakes, therefore, the corresponding everyone of above-mentioned each timing node data identifies may be not quite identical, so, at this In embodiment, need to further determine that the accurate personnel of the second class target person according to the giver identification in action process data Mark.It illustratively, can be using the most giver identification of frequency of occurrence as accurate giver identification.

It further, can be according to the corresponding each timing node of the accurate giver identification after the accurate giver identification of determination Data, to determine the behavior accurate Start Date and behavior accurate deadline of the second class target person.

The benefit being arranged in this way is: improving behavior accurate Start Date and the accurate deadline of behavior of the second class target person The accuracy of phase.

Embodiment two

Fig. 2 is a kind of flow chart of data extraction method provided by Embodiment 2 of the present invention.The present embodiment is with above-mentioned implementation It is optimized based on example, in the present embodiment, gives a kind of increase data correction step, embody first kind target person The behavior exact end date determination method specific embodiment.Same as the previously described embodiments or corresponding term explanation, This embodiment is not repeated.

Correspondingly, the method for the present embodiment specifically includes:

S201, the action process for obtaining first kind target person calculate the behavior of data and the second class target person Number of passes evidence.

S202, the behavior from date in data is calculated according to action process, determines that the behavior of first kind target person is quasi- True from date.

In the present embodiment, it includes behavior from date that action process, which calculates in data,.Behavior from date specifically may be used To be from date that first kind target person implements some behavior.It illustratively, is the first kind when action process calculates data For target person in each moon monthly pay data that enterprise work obtains, behavior from date can be first kind target person in the enterprise The registration date of industry.

Further, action process in the present embodiment calculates in data, the row that first kind target person is implemented To be corresponding with a behavior from date in the behavior outcome data of each period in the process.

Due to the case where there are human operational errors, it may result in and calculated in data in action process, same first Class target person has multiple and different behavior from dates, then at this time, it is necessary to the behavior starting date multiple and different from this One accurate from date of behavior of interim determination.Specifically, the most behavior from date of frequency of occurrence can be chosen as row For accurate from date, corresponding date and the immediate behavior from date of current date can also be chosen as accurate starting On date etc., the present embodiment is not limited this.

Whether S203, to judge that action process calculates in data include the behavior date of expiry if including thening follow the steps 204, If not including, 206 are thened follow the steps.

In the present embodiment, the behavior date of expiry of first kind target person is determined by step 203 to step 212. Specifically, in different situations, can behavior according to the behavior date of expiry, the latest calculate the deadline and behavior is accurate A date in from date determines the behavior exact end date of first kind target person.In the present embodiment, behavior Journey calculates the behavior from date that at least will include in data for determining the accurate from date of behavior.

Specifically, " behavior date of expiry " has highest priority in the above three date, if action process number It include the normally performed activity date of expiry in, then it can be according to the normally performed activity date of expiry, to determine first kind target person The behavior exact end date.Therefore, firstly, whether can judge that action process calculates in data by this step includes that behavior terminates Date.

It illustrates below, includes behavior from date, behavior termination in action process data as shown in table 1 Date and behavior calculate the deadline, wherein behavior from date is specially " registration date ", behavior date of expiry to be specially " leaving office the date ", behavior calculate the deadline specially " monthly pay Settlement Date " or " weekly wage Settlement Date ", and table 1 is with " monthly pay knot Calculate the date " for.

Table 1

S204, judge whether the behavior date of expiry is abnormal, if normal, thens follow the steps 205, if abnormal, it is determined that behavior It does not include the behavior date of expiry that process, which calculates in data, executes step 206.

In the present embodiment, when it includes the behavior date of expiry that action process, which calculates in data, it can further judge behavior Whether the date of expiry is normal.For example, judging the behavior date of expiry whether earlier than accurate from date of behavior etc..If behavior terminates Date is normal, then the behavior exact end date of first kind target person is determined by step 205；If the behavior date of expiry is different Often, it is determined that it does not include the behavior date of expiry that action process, which calculates in data, will continue to judge action process meter by step 206 Whether count in includes that behavior calculates the deadline.

S205, according to the behavior date of expiry, determine the behavior exact end date of first kind target person.

It in the present embodiment, can be by the row when it includes the normally performed activity date of expiry that action process, which calculates in data, For the date of expiry, it is determined as the behavior exact end date of first kind target person.As shown in table 1, the behavior of Zhang San is accurately whole Only the date is the behavior date of expiry (i.e. leaving office date) 2018/10/15.

S206, judge in action process calculating data whether to include thening follow the steps if including the behavior calculating deadline 207, if not including, then follow the steps 210.

In the present embodiment, it in action process calculating data, when not including the normally performed activity date of expiry, will continue to lead to Whether include behavior calculate deadline, ended with being calculated according to behavior if this step 206 is crossed to judge that action process calculates in data Date determines the behavior exact end date.As shown in table 1, the behavior of Zhang San calculated there are four the deadlines, i.e., 2018/7/31, 2018/8/31,2018/9/30 and 2018/10/31.

S207, judge that action process calculates the behavior calculating deadline in data the latest and the time between current date Whether interval, which is greater than, calculates time interval threshold value, if so, 208 are thened follow the steps, if it is not, thening follow the steps 209.

It in the present embodiment, include that behavior calculates the deadline when determining that action process calculates in data by step 206 Later, can also further judge action process calculate behavior the latest in data calculate between deadline and current date when Between be spaced whether be greater than calculate time interval threshold value.Wherein, calculating time interval threshold value specifically can be a behavior calculating section Only the date fixes the date really, and the upper behavior for calculating the deadline with the behavior calculated between the deadline between the maximum time Every.

It is understood that personnel are during implementing some behavior, period during completing this After work, it can determine whether behavior outcome data corresponding with the period.But the determination of behavior outcome data may exist After temporal delay, the not necessarily period terminate, it just can determine behavior outcome data immediately.Therefore, only exist When current date and behavior the latest calculate the time interval between the deadline and be greater than delay duration, it just can determine that personnel are certain Terminate above-mentioned " some behavior ".

So in the present embodiment, judging the behavior that action process calculates in data the latest and calculating the deadline and work as Whether whether the time interval between the preceding date, which is greater than, calculates time interval threshold value, to confirm first kind target person termination row Behavior corresponding to data is calculated for process.

Illustratively, if it is each moon monthly pay that first kind target person is obtained in enterprise work that action process, which calculates data, When data, then calculating time interval threshold value should be the monthly pay Settlement Date from the previous moon, until this month monthly pay data are most Evening determines the time interval between the date, typically can be 60 days.

S208, action process is calculated into the behavior calculating deadline in data the latest, as first kind target person The behavior exact end date.

In the present embodiment, it is calculated between deadline and current date when action process calculates the behavior in data the latest Time interval be greater than when calculating time interval threshold value, the behavior the latest in data that will calculate action process calculates deadline Phase, the behavior exact end date as first kind target person.As shown in table 1, the behavior of first kind target person is accurately whole Only the date can be 2018/10/31.

S209, determining first kind target person, there is no the behavior exact end dates.

In the present embodiment, it is calculated between deadline and current date when action process calculates the behavior in data the latest Time interval be less than or equal to calculate time interval threshold value when, it is determined that first kind target person be not present behavior exact end day Phase, that is to say, that first kind target person may calculate the corresponding behavior of data without termination behavior process.

S210, judge whether the time interval between the accurate from date of behavior and current date is greater than calculating time interval When threshold value, if so, 211 are thened follow the steps, if it is not, thening follow the steps 212.

In the present embodiment, include neither the behavior date of expiry when action process calculates in data, also do not include behavior meter When calculating the deadline, it can further judge whether the time interval between the accurate from date of behavior and current date is greater than calculating Time interval threshold value, to determine that the whether certain termination behavior process of first kind target person calculates the corresponding behavior of data.

S211, the behavior exact end date that the accurate from date of behavior is determined as to first kind target person.

In the present embodiment, between the time interval between the accurate from date of behavior and current date is greater than and calculates the time When threshold value, it is determined that termination behavior process calculates the corresponding behavior of data to first kind target person, and then behavior is accurate From date is determined as the behavior exact end date of first kind target person.

S212, determining first kind target person, there is no the behavior exact end dates.

In the present embodiment, when the time interval between the accurate from date of behavior and current date is less than or equal to calculate Between interval threshold when, it is determined that first kind target person be not present the behavior exact end date, that is to say, that first kind target person Member may calculate the corresponding behavior of data without termination behavior process.

S213, the second class target person is obtained to the progress data extraction of action process data using the second data extracting rule The second behavior start-stop data of member.

S214, to the accurate from date of the behavior of first kind target person and behavior exact end date and the second row It is modified for start-stop data, obtains the accurate from date of behavior and behavior exact end of revised first kind target person Date and revised second behavior start-stop data.

In the present embodiment, can the accurate from date of behavior to first kind target person and behavior exact end date, And second behavior start-stop data be modified, to guarantee between each behavior start-stop data, behavior start-stop data and action process Calculate data between and the logical correctness between behavior start-stop data and action process data.

The embodiment of the invention provides a kind of data extraction methods, and this method increase data correction steps, improve row For the accuracy of start-stop data, the determination method on the behavior exact end date of first kind target person is embodied further, is realized When action process calculates the data content difference in data, can also be accurate, easy and first kind target be effectively determined The behavior start-stop data of personnel.

On the basis of the various embodiments described above, the behavior from date that will be calculated in data according to action process determines The accurate from date of the behavior of a kind of target person, is embodied as: the behavior calculating that action process calculates in data the latest is cut Only behavior from date corresponding to the date, the accurate from date of behavior as first kind target person.

In the present embodiment, it includes that behavior calculates the deadline that action process, which calculates in data,.Wherein, behavior, which calculates, cuts Only the date specifically can be the behavior for calculating each period of first kind target person during implementing some behavior The calculating deadline of result data.It illustratively, is first kind target person in enterprise work when action process calculates data When obtained each moon monthly pay data, then behavior calculates the Settlement Date that the deadline is each moon monthly pay, generally monthly most One day after.

Further, in the present embodiment, it is calculated in data in action process, in the action process that personnel are implemented Include behavior from date in the behavior outcome data of each period, while further including having and behavior from date Corresponding behavior calculates the deadline.Illustratively, as shown in table 2, " behavior from date " is specially " registration date ", " behavior calculates the deadline " is specially " monthly pay Settlement Date ".The monthly pay Settlement Date of every month is all corresponding with " registration day Phase ", due to the case where there are human operational errors, it is thus possible to which will lead to the same first kind target person has multiple registration days Phase, as shown in table 2, the registration date of Zhang San are three different dates.

Personnel's name	The registration date	Monthly pay zero date	Monthly pay Settlement Date
				Zhang San	2018/7/2	2018/7/1	2018/7/31
Zhang San	2018/7/3	2018/8/1	2018/8/31/
				Zhang San	2018/7/2	2018/9/1	2018/9/30
Zhang San	2018/7/1	2018/10/1	2018/10/31

Table 2

In the present embodiment, the accurate from date of the behavior of first kind target person is that action process calculates in data the latest Behavior calculate the deadline corresponding to behavior from date.If all action processes that table 2 is Zhang San calculate data, that Due to 2019/10/31 for the latest behavior calculate the deadline, so the accurate from date of the behavior of Zhang San be 2018/7/ 1。

The benefit being arranged in this way is: more accurate, convenient and quickly determining first kind target person behavior is accurate From date.

Embodiment three

Fig. 3 is a kind of flow chart for data extraction method that the embodiment of the present invention three provides.The present embodiment is with above-mentioned implementation It is optimized based on example, in the present embodiment, giving a kind of materializations action process data is moon action process calculating number Data are calculated according to all action processes, correspondingly, further embody the first behavior start-stop data of first kind target person The specific embodiment of acquisition methods.Same as the previously described embodiments or corresponding term explains that this embodiment is not repeated.

Correspondingly, the method for the present embodiment specifically includes:

S301, the moon action process for obtaining first kind target person calculate data and all action processes calculate data, and The action process data of second class target person.

It in the present embodiment, is specially that moon action process calculates data and all action process meters by action process calculating data Count evidence, that is to say, that action process calculates the Zhou Hangwei in data including first kind target user and moon behavior is distinguished Correspond to behavior outcome data.Illustratively, moon action process, which calculates data, specifically can be first kind target user in enterprise The monthly pay data of work, all action processes, which calculate data, specifically can be first kind target user in the weekly wage number of enterprise work According to.

S302, the behavior from date in data is calculated according to moon action process, determines the behavior of first kind target person Accurate from date.

In the present embodiment, the accurate from date of the behavior of first kind target person is specifically to be calculated according to moon action process What the behavior from date in data determined.Specifically, can be frequency of occurrence in each moon action process calculating data is most Behavior from date be determined as the accurate from date of behavior, or nearest moon action process is calculated into the behavior in data and is originated Date is determined as the accurate from date of behavior.

S303, judge in moon action process calculating data whether to include thening follow the steps if including the moon behavior date of expiry 304, if not including, then follow the steps 305.

In the present embodiment, the behavior exact end date is also first to calculate data according to moon action process to determine, of that month row For process calculate in data do not include month behavior date of expiry when, calculate all action processes in data further according to all action processes Data are calculated to determine.

Therefore, whether first pass through this step 303 to judge that moon action process calculates in data includes the moon behavior expiration date Phase.

S304, according to the behavior date of expiry moon, determine the behavior exact end date of first kind target person.

It in the present embodiment, will be according to the moon row when of that month action process was calculated in data including the moon behavior date of expiry For the date of expiry, the behavior exact end date of first kind target person is determined.Moon action process is calculated specifically, can be The behavior date of expiry moon in data is determined as the behavior exact end date of first kind target person.

S305, judge in all action process calculating data whether to include thening follow the steps if including the Zhou Hangwei date of expiry 306, if not including, then follow the steps 307.

In the present embodiment, it if it does not include a month behavior date of expiry that moon action process, which calculates in data, will continue to sentence Whether it includes the Zhou Hangwei date of expiry that disconnected week action process calculates in data.

S306, according to the Zhou Hangwei date of expiry, determine the behavior exact end date of first kind target person.

It in the present embodiment, will be according to all rows when it includes the Zhou Hangwei date of expiry that all action processes, which calculate in data, For the date of expiry, the behavior exact end date of first kind target person is determined.All action processes are calculated specifically, can be The Zhou Hangwei date of expiry in data is determined as the behavior exact end date of first kind target person.

S307, the Zhou Hangwei calculating deadline in data is calculated according to all action processes, determines first kind target person The behavior exact end date.

In the present embodiment, it does not include a month behavior date of expiry, all action process meters that of that month action process, which calculates in data, When also not including the Zhou Hangwei date of expiry in the evidence that counts, then the Zhou Hangwei that can be calculated in data according to all action processes calculates cut-off Date determines the behavior exact end date of first kind target person.

It is understood that the Zhou Hangwei calculating deadline in all action process calculating data can be earlier than where " week " The moon action process of " moon " calculate the moon behavior in data and calculate the deadline, therefore, Zhou Hangwei calculates the deadline can be with More accurately embody the date that first kind target person termination behavior process calculates behavior corresponding to data.

S308, the second class target person is obtained to the progress data extraction of action process data using the second data extracting rule The second behavior start-stop data of member.

S309, to the accurate from date of the behavior of first kind target person and behavior exact end date and the second row It is modified for start-stop data, obtains the accurate from date of behavior and behavior exact end of revised first kind target person Date and revised second behavior start-stop data.

The embodiment of the invention provides a kind of data extraction method, it is moon behavior that this method, which embodies action process data, Process calculates data and all action processes calculate data and correspondingly further embody the first row of first kind target person For the acquisition methods of start-stop data, by calculating data to moon action process and all action processes calculate the reasonable employment of data, Improve the accurate from date of behavior and the accuracy on behavior exact end date of first kind target person.

On the basis of the various embodiments described above, the Zhou Hangwei calculated in data according to all action processes is calculated into deadline Phase determines the behavior exact end date of first kind target person, is embodied as: if all action processes calculate the week in data Behavior calculates deadline non-empty, then calculates the deadline according to Zhou Hangwei, determines that the behavior of first kind target person is accurately whole The only date；If all action processes calculate the Zhou Hangwei in data and calculate the deadline as sky, calculated according to moon action process Moon behavior in data calculates the deadline, determines the behavior exact end date of first kind target person.

The benefit being arranged in this way is: can effectively determine the behavior exact end date of first kind target person.

On the basis of the various embodiments described above, the first behavior start-stop data and the second behavior start-stop data will be repaired Just, revised first behavior start-stop data and revised second behavior start-stop data are obtained, are embodied as: if behavior is quasi- The behavior exact end date earlier than the accurate from date of behavior, is then modified to and the accurate from date phase of behavior by the true date of expiry The same date；If behavior exact end date and action process calculate the behavior in data the latest and calculate between the deadline Time interval is greater than the first setting time interval threshold, then is modified to calculate with behavior the latest by the behavior exact end date and cut The only identical date on date.

In the present embodiment, on the behavior exact end date and the accurate from date of behavior for determining first kind target person Later, it judges the behavior exact end date and whether the accurate from date of behavior is reasonable.Firstly, the behavior exact end date answers It is later than the accurate from date of behavior；It is calculated secondly, behavior exact end date and action process calculate the behavior in data the latest Time interval between deadline do not answer it is excessive, if excessive, determined by the behavior exact end date may not Accurately.

The benefit being arranged in this way is: improving the accuracy of behavior start-stop data.

Example IV

Fig. 4 is a kind of flow chart for data extraction method that the embodiment of the present invention four provides.The present embodiment is with above-mentioned implementation It is optimized based on example, in the present embodiment, gives a kind of accurate giver identification's of the second class target person of materialization It determines method, and embodies the behavior accurate Start Date of the second class target person and the determination side of behavior accurate deadline The specific embodiment of method.Same as the previously described embodiments or corresponding term explains that this embodiment is not repeated.

Correspondingly, the method for the present embodiment specifically includes:

S401, the moon action process for obtaining first kind target person calculate data and all action processes calculate data, and The action process data of second class target person.

S402, the behavior from date in data is calculated according to moon action process, determines the behavior of first kind target person Accurate from date.

S403, judge in moon action process calculating data whether to include thening follow the steps if including the moon behavior date of expiry 404, if not including, then follow the steps 405.

S404, according to the behavior date of expiry moon, determine the behavior exact end date of first kind target person.

S405, judge in all action process calculating data whether to include thening follow the steps if including the Zhou Hangwei date of expiry 406, if not including, then follow the steps 407.

S406, according to the Zhou Hangwei date of expiry, determine the behavior exact end date of first kind target person.

S407, the Zhou Hangwei calculating deadline in data is calculated according to all action processes, determines first kind target person The behavior exact end date.

S408, the different personnel occurred in the corresponding each action process data of any one second class target person are marked Know, the total degree that foundation giver identification occurs in corresponding each action process data of any one second class target person at this, It is ranked up.

In the present embodiment, the behavior accurate Start Date of the second class target person is determined by step 408 to step 416 With the behavior accurate deadline.

In the present embodiment, personnel's mark has been may each comprise in the corresponding each action process data of the second class target person Know, giver identification is used for one the second class target person of unique identification.It is understood that since there may be manual operations to lose Accidentally the case where, therefore, everyone's mark in the corresponding each action process data of a second class target person may be not to the utmost It is identical, so, in the present embodiment, the accurate people of the second class target person is determined by this step 408 to step 412 first Member's mark.As shown in table 3, a plurality of action process data of a second class target person, action process number are illustratively indicated It further include having behavior time started and behavior deadline in.

Giver identification	Behavior Start Date	The behavior deadline
			700125	2019/5/1
700124	2019/5/1
			700125	2019/5/1
700125	2019/5/1
			700123	2019/5/1
700125	2019/5/2	2019/5/31
			700123	2019/5/2

Table 3

In the present embodiment, during determination accurate giver identification, first can according to giver identification at this any one The total degree occurred in the corresponding each action process data of second class target person, is ranked up.

Illustratively, as shown in table 3, " 700123 " occur 2 times in table 3, and " 700124 " occur 1 time in table 3, There are 4 times, therefore, ranking results 700125,700123,700124 in table 3 in " 700125 ".

S409, the first man person chosen in ranking results identify as giver identification to be identified.

In the present embodiment, after determining ranking results, a people can be successively chosen from front to back from ranking results Member's mark, as giver identification to be identified.Illustratively, such as the ranking results of table 3 it is found that first is marked as personnel to be identified The giver identification of knowledge is " 700125 ".

S410, judge whether the total number of letter and number included by giver identification to be identified is greater than setting number threshold Value, if so, 411 are thened follow the steps, if it is not, thening follow the steps 412.

It in the present embodiment, is by judging whether the total number of letter and number included by giver identification to be identified is big In setting number threshold value, to determine whether giver identification to be identified is correct.Wherein, given threshold typically can be 4 etc..Example Property, in the giver identification " 700125 " in table 3 include 6 numbers, if setting number threshold value less than 6, it may be determined that people Member's mark " 700125 " is correct.

S411, by giver identification to be identified, accurate giver identification of any one the second class target person as this.

In the present embodiment, when the total number of the included letter and number of giver identification to be identified is greater than setting number When threshold value, then by the giver identification to be identified, accurate giver identification of any one the second class target person as this, and will not Again the giver identification in above-mentioned ranking results is further continued for differentiating.

S412, by ranking results be located at giver identification to be identified after giver identification, as new personnel to be identified Mark, and 410 are returned to step, until having traversed ranking results.

In the present embodiment, if the total number of letter and number included by giver identification to be identified is less than or equal to setting Number threshold value, then can be by the giver identification in ranking results after giver identification to be identified, as new personnel to be identified Mark.Illustratively, if the digital total number of the giver identification " 700125 " in table 3 is less than or equal to setting number threshold value, that , then continue giver identification " 700123 " being used as giver identification to be identified.

Further, after having updated giver identification to be identified, 410 can be returned to step, until having traversed sequence As a result.What needs to be explained here is that as long as setting number threshold value is arranged relatively reasonable, in complete ranking results of traversal, Centainly it can be confirmed that a giver identification can be used as the accurate giver identification of the second class target person.

S413, by include accurate giver identification each action process data in, the most behavior of number of repetition starts day Phase, the behavior accurate Start Date as the second class target person.

It in the present embodiment, will be from the second class target after the accurate giver identification for determining the second class target person In each action process data of personnel, each action process data that giver identification is accurate giver identification are picked out.Then, From each action process data picked out, number of repetition most behavior Start Date is searched, and most by the number of repetition More behavior Start Dates, the behavior accurate Start Date as the second class personnel.

Illustratively, as shown in table 3, if giver identification " 700125 " is confirmed as the accurate personnel of the second class target person Mark, then, since " 700125 " occur 4 times altogether, wherein three " 700125 " corresponding behavior Start Dates are 2019/ 5/1, one " 700125 " corresponding behavior Start Date is 2019/5/2, so, Ying Jiang 2019/5/1 is used as the second class target The behavior of personnel accurate Start Date.

S414, judgement include in each action process data of accurate giver identification, and whether the behavior deadline is all empty, If it is not, 415 are thened follow the steps, if so, thening follow the steps 416.

In the present embodiment, after the accurate giver identification of determination, second can be determined by this step 414 to step 416 The behavior of the class target person accurate deadline.Firstly, passing through each behavior of the judgement of this step 414 including accurate giver identification In process data, whether the behavior deadline is all empty.As it can be seen that in action process data, it is understood that there may be a second class target The behavior deadline of personnel is all empty situation.

S415, by include accurate giver identification each action process data in, the most behavior deadline of number of repetition Phase, the behavior accurate deadline as the second class target person.

It in the present embodiment, can also be from the second class target after the accurate giver identification for determining the second class target person In each action process data of personnel, each action process data that giver identification is accurate giver identification are picked out.Then, From each action process data picked out, number of repetition most behavior deadline is searched, and most by the number of repetition More behavior deadlines, the behavior accurate deadline as the second class personnel.

Illustratively, as shown in table 3, if giver identification " 700125 " is confirmed as the accurate personnel of the second class target person Mark, then, since " 700125 " occur 4 times altogether, wherein one " 700125 " corresponding behavior deadline is 2019/ 5/31, three " 700125 " the behavior deadlines not being corresponding with, so, Ying Jiang 2019/5/31 is used as the second class target person The behavior accurate deadline.

S416, the behavior corresponding to each action process data including accurate giver identification the latest is calculated into deadline Phase, the behavior accurate deadline as the second class target person.

In the present embodiment, the action process data corresponding behavior calculating deadline the latest specifically can be behavior The behavior corresponding to the time that generates the latest of number of passes evidence calculates the deadline.It is understood that the second class target person is each Action process data are usually to be continuously generated according to certain time interval, such as weekly or every month generates a behavior Number of passes evidence, then, the behavior calculating deadline the latest specifically can be the generation time of the action process data ultimately produced Corresponding behavior calculates the deadline.

As shown in table 4, a plurality of action process data of a second class target person, action process number are illustratively indicated It further include the generation time for having action process data in.

Giver identification	Behavior Start Date	The behavior deadline	The data date of formation
				700125	2019/5/1	2019/5/10
700125	2019/5/1		2019/6/10
				700125	2019/5/1	2019/7/10
700125	2019/5/1		2019/8/10

Table 4

As shown in table 4, illustratively, each action process data are raw in monthly regular time (monthly No. 10) At.The generation time of the last item action process data is 2019/8/10 in table 4, and therefore, behavior the latest calculates the deadline It should be that behavior corresponding with " 2019/8/10 " calculates the deadline.It in general, is being that action process calculates data with " moon " It, can be using last day monthly as the calculating deadline of behavior outcome data when calculating time interval.So " 2019/8/ 10 " corresponding behaviors calculating deadlines can be " 2019/8/31 ", and " 2019/8/31 " is exactly the second class target person as a result, The behavior accurate deadline.

Here explanation is needed further exist for, action process data can also include all action process data and moon row simultaneously For process data.At this point, step 408 specifically can be to step 413 while to all action process data and moon action process number According to data processing is carried out, data finally are carried out according to all action process data and moon action process data simultaneously and obtain the second classification The behavior of mark personnel accurate Start Date.But in the row for determining the second class target person by step 414 to step 416 It, can be preferentially according to the behavior deadline in all action process data, to determine the second class target when for the accurate deadline The behavior of the personnel accurate deadline.When not including the behavior deadline in all action process data, a moon behavior is reused Behavior deadline of the number of passes in, to determine the behavior accurate deadline of the second class target person.

S417, to the accurate from date of the behavior of first kind target person and behavior exact end date and the second class The behavior of target person accurate Start Date and behavior accurate deadline are modified, and obtain revised first kind target person The behavior of the accurate from date of behavior and behavior exact end date and revised second class target person of member is accurately opened Begin date and behavior accurate deadline.

The embodiment of the invention provides a kind of data extraction method, this method embodies the accurate of the second class target person The determination method of giver identification allows to accurate giver identification that is accurate, easily determining the second class target person, also specific Change the behavior accurate Start Date of the second class target person and the determination method of behavior accurate deadline, improves the second class The accuracy of the behavior start-stop data of target person.

On the basis of the various embodiments described above, the first behavior start-stop data and the second behavior start-stop data will be repaired Just, revised first behavior start-stop data and revised second behavior start-stop data are obtained, are embodied as: behavior is accurate Deadline deletes earlier than the second behavior start-stop data of the second class target person of behavior accurate Start Date；Behavior is accurate Time interval between deadline and behavior accurate Start Date is greater than the second class target person at the second setting time interval The second behavior start-stop data delete.

In the present embodiment, in the behavior accurate Start Date and behavior accurate deadline for determining the second class target person Later, will continue to judge whether behavior accurate Start Date and behavior accurate deadline are reasonable.Firstly, the accurate deadline of behavior Phase should be later than behavior accurate Start Date；Secondly, between time between behavior accurate Start Date and behavior accurate deadline It is excessive every not answering, because if meaning that the second class target person implements the corresponding row obtained of action process data if excessive For time it is longer, then, the second class target person is likely to have corresponding action process and calculates data.

The benefit being arranged in this way is: improving the accuracy of the behavior start-stop data of the second class target person.

Embodiment five

Fig. 5 is a kind of structure chart for data extraction device that the embodiment of the present invention five provides, and the present embodiment is in above-mentioned each reality On the basis of applying example, the embodiment of " data extraction method " is provided.Same as the previously described embodiments or corresponding term explanation, This embodiment is not repeated.

As shown in figure 5, described device includes: data acquisition module 501,502 and of the first behavior start-stop data extraction module Second behavior start-stop data extraction module 503, in which:

Data acquisition module 501, the action process for obtaining first kind target person calculate data and the second classification The action process data of mark personnel；

First behavior start-stop data extraction module 502 calculates number to action process for using the first data extracting rule According to data extraction is carried out, the first behavior start-stop data of first kind target person are obtained；

Second behavior start-stop data extraction module 503, for use the second data extracting rule, to action process data into Row data are extracted, and the second behavior start-stop data of the second class target person are obtained.

The embodiment of the invention provides a kind of data extraction device, which passes through data acquisition module 501 first and obtains The action process of first kind target person calculates the action process data of data and the second class target person, then by the One behavior start-stop data extraction module 502 uses the first data extracting rule, calculates data to action process and carries out data extraction, The first behavior start-stop data of first kind target person are obtained, are used finally by the second behavior start-stop data extraction module 503 Second data extracting rule carries out data extraction to action process data, obtains the second behavior start-stop of the second class target person Data.

Which solves the labor service information of the job applicant provided in the prior art according to laboring service company, identified labor The lower technological deficiency of accuracy for entering the date of leaving office of business personnel, by using different classes of data, to determine inhomogeneity The behavior start-stop data of other labor service personnel realize and accurate determine that labor service personnel enter to leave office the date.

On the basis of the various embodiments described above, can also include:

Data correction module carries out data extraction to action process data, obtains for using the second data extracting rule To after the second behavior start-stop data of the second class target person, to the first behavior start-stop data and the second behavior start-stop data into Row amendment, obtains revised first behavior start-stop data and revised second behavior start-stop data.

On the basis of the various embodiments described above, the first behavior start-stop data extraction module 502 may include:

The accurate from date determination unit of behavior, for calculating the behavior from date in data according to action process, really Determine the accurate from date of behavior of first kind target person；

The first row is accurate date of expiry determination unit, if calculating for action process includes the behavior expiration date in data Phase determines the behavior exact end date of first kind target person then according to the behavior date of expiry；

Second behavior exact end data determination unit, if calculating in data for action process does not include that behavior terminates Date, but calculate the deadline including behavior, then the deadline is calculated according to behavior, determines that the behavior of first kind target person is quasi- The true date of expiry；

The third line is accurate date of expiry determination unit, if calculating in data for action process does not include that behavior terminates Date, and do not include that behavior calculates the deadline, then when the time interval between the accurate from date of behavior and current date is big When calculating time interval threshold value, the accurate from date of behavior is determined as to the behavior exact end day of first kind target person Phase.

On the basis of the various embodiments described above, the first row is that accurate date of expiry determination unit may include:

Abnormal judgment sub-unit judges behavior if calculating in data for action process includes the behavior date of expiry Whether the date of expiry is abnormal；

Abnormal determining subelement, if abnormal for the behavior date of expiry, it is determined that action process, which calculates in data, does not include The behavior date of expiry；

It is normal to determine subelement, if normal for the behavior date of expiry, according to the behavior date of expiry, determine the first classification The behavior exact end date of mark personnel.

On the basis of the various embodiments described above, the accurate from date determination unit of behavior specifically can be used for:

Action process is calculated into behavior the latest in data and calculates behavior from date corresponding to the deadline, as the The accurate from date of the behavior of a kind of target person.

On the basis of the various embodiments described above, the second behavior exact end data determination unit may include:

Date of expiry determines subelement, if for action process calculate behavior the latest in data calculate the deadline with Time interval between current date, which is greater than, calculates time interval threshold value, then action process is calculated to the behavior meter in data the latest Calculate deadline, the behavior exact end date as first kind target person；

No end date determines subelement, if calculating the behavior in data the latest for action process calculates the deadline Time interval between current date is less than or equal to calculate time interval threshold value, it is determined that there is no rows for first kind target person For the accurate date of expiry.

On the basis of the various embodiments described above, action process calculates data and may include:

Month action process calculates data and all action processes calculate data；

Correspondingly, the first behavior start-stop data extraction module 502 may include:

From date determination unit determines first for calculating the behavior from date in data according to moon action process The accurate from date of the behavior of class target person；

First date of expiry determination unit, if calculating for moon action process includes the moon behavior date of expiry in data, Then according to the behavior date of expiry moon, the behavior exact end date of first kind target person is determined；

Second date of expiry determination unit, if calculating in data for moon action process does not include a month behavior expiration date Phase, but all action processes calculate in data and determine the first classification then according to the Zhou Hangwei date of expiry including the Zhou Hangwei date of expiry The behavior exact end date of mark personnel；

Third date of expiry determination unit, if calculating in data for moon action process does not include a month behavior expiration date Phase, and it does not include the Zhou Hangwei date of expiry that all action processes, which calculate in data, yet, then is calculated in data according to all action processes Zhou Hangwei calculates the deadline, determines the behavior exact end date of first kind target person.

On the basis of the various embodiments described above, third date of expiry determination unit may include:

The first row is the accurate date of expiry to determine subelement, if based on the Zhou Hangwei that all action processes calculate in data Deadline non-empty is calculated, then the deadline is calculated according to Zhou Hangwei, determines the behavior exact end date of first kind target person；

Second behavior exact end date determined subelement, if based on the Zhou Hangwei that all action processes calculate in data Calculating the deadline is sky, then calculates the moon behavior in data according to moon action process and calculate the deadline, determine first kind target The behavior exact end date of personnel.

On the basis of the various embodiments described above, data correction module may include:

First amending unit, if for the behavior exact end date earlier than the accurate from date of behavior, by behavior standard The true date of expiry is modified to the date identical with the accurate from date of behavior；

Second amending unit, if based on the behavior that behavior exact end date and action process calculate in data the latest Calculate the deadline between time interval be greater than the first setting time interval threshold, then by the behavior exact end date be modified to Behavior the latest calculates deadline on the identical date.

On the basis of the various embodiments described above, the second behavior start-stop data extraction module 503 may include:

Determination unit is identified, for determining the standard of the second class target person according to the giver identification in action process data True giver identification；

Data determination unit determines for the date corresponding in behavior process data according to accurate giver identification The behavior accurate Start Date and behavior accurate deadline of two class target persons.

On the basis of the various embodiments described above, mark determination unit may include:

Sorting subunit, for occurring not in the corresponding each action process data of any one second class target person Same giver identification occurs in corresponding each action process data of any one second class target person according to giver identification at this Total degree, be ranked up；

Selection unit is identified, is identified for choosing the first man person in ranking results as giver identification to be identified；

Judging unit, for judging whether the total number of letter and number included by giver identification to be identified is greater than setting Number threshold value；

Accurate giver identification's determination unit, if the total number for letter and number included by giver identification to be identified is big In setting number threshold value, then by giver identification to be identified, accurate giver identification of any one the second class target person as this；

Updating unit is identified, if the total number for letter and number included by giver identification to be identified is less than or equal to set Determine number threshold value, then by the giver identification in ranking results after giver identification to be identified, as new personnel to be identified Mark, and return to execution and judge whether the total number of letter and number included by giver identification to be identified is greater than setting number threshold The operation of value, until having traversed ranking results.

On the basis of the various embodiments described above, data determination unit may include:

Start Date determines subelement, for will include accurate giver identification each action process data in, repeat time Number most behavior Start Date, the behavior accurate Start Date as the second class target person；

First expired date determines subelement, if in each action process data including accurate giver identification, The behavior deadline is not all sky, then by include accurate giver identification each action process data in, number of repetition is most Behavior deadline, the behavior accurate deadline as the second class target person.

Second expired date determines subelement, if in each action process data including accurate giver identification, The behavior deadline is all empty, then will include the behavior meter corresponding to each action process data of accurate giver identification the latest Calculate deadline, the behavior accurate deadline as the second class target person.

On the basis of the various embodiments described above, correction module may include:

Third amending unit, for the second class target person by the behavior accurate deadline earlier than behavior accurate Start Date The second behavior start-stop data of member are deleted；

4th amending unit, for the time interval between behavior accurate deadline and behavior accurate Start Date is big It is deleted in the second behavior start-stop data of the second class target person at the second setting time interval.

Data extraction device provided by the embodiment of the present invention can be performed data provided by any embodiment of the invention and mention Method is taken, has the corresponding functional module of execution method and beneficial effect.The not technical detail of detailed description in the present embodiment, It can be found in the data extraction method that any embodiment of that present invention provides.

Embodiment six

Fig. 6 is a kind of structural schematic diagram for equipment that the embodiment of the present invention 6 provides.Fig. 6, which is shown, to be suitable for being used to realizing this The block diagram of the example devices 12 of invention embodiment.The equipment 12 that Fig. 6 is shown is only an example, should not be to of the invention real The function and use scope for applying example bring any restrictions.

As shown in fig. 6, equipment 12 is showed in the form of universal computing device.The component of equipment 12 may include but unlimited In one or more processor or processing unit 16, system storage 28, connecting different system components, (including system is deposited Reservoir 28 and processing unit 16) bus 18.

Bus 18 indicates one of a few class bus structures or a variety of, including memory bus or Memory Controller, Peripheral bus, graphics acceleration port, processor or the local bus using any bus structures in a variety of bus structures.It lifts For example, these architectures include but is not limited to industry standard architecture (ISA) bus, microchannel architecture (MAC) Bus, enhanced isa bus, Video Electronics Standards Association (VESA) local bus and peripheral component interconnection (PCI) bus.

Equipment 12 typically comprises a variety of computer system readable media.These media can be it is any can be by equipment 12 The usable medium of access, including volatile and non-volatile media, moveable and immovable medium.

System storage 28 may include the computer system readable media of form of volatile memory, such as arbitrary access Memory (RAM) 30 and/or cache memory 32.Equipment 12 may further include it is other it is removable/nonremovable, Volatile/non-volatile computer system storage medium.Only as an example, storage system 34 can be used for reading and writing irremovable , non-volatile magnetic media (Fig. 6 do not show, commonly referred to as " hard disk drive ").Although being not shown in Fig. 6, use can be provided In the disc driver read and write to removable non-volatile magnetic disk (such as " floppy disk "), and to removable anonvolatile optical disk The CD drive of (such as CD-ROM, DVD-ROM or other optical mediums) read-write.In these cases, each driver can To be connected by one or more data media interfaces with bus 18.System storage 28 may include that at least one program produces Product, the program product have one group of (for example, at least one) program module, these program modules are configured to perform of the invention each The function of embodiment.

Program/utility 40 with one group of (at least one) program module 42 can store and store in such as system In device 28, such program module 42 includes but is not limited to operating system, one or more application program, other program modules And program data, it may include the realization of network environment in each of these examples or certain combination.Program module 42 Usually execute the function and/or method in embodiment described in the invention.

Equipment 12 can also be communicated with one or more external equipments 14 (such as keyboard, sensing equipment, display 24 etc.), Can also be enabled a user to one or more equipment interacted with the equipment 12 communication, and/or with enable the equipment 12 with One or more of the other any equipment (such as network interface card, modem etc.) communication for calculating equipment and being communicated.It is this logical Letter can be carried out by input/output (I/O) interface 22.Also, equipment 12 can also by network adapter 20 and one or The multiple networks of person (such as local area network (LAN), wide area network (WAN) and/or public network, such as internet) communication.As shown, Network adapter 20 is communicated by bus 18 with other modules of equipment 12.It should be understood that although not shown in the drawings, can combine Equipment 12 use other hardware and/or software module, including but not limited to: microcode, device driver, redundant processing unit, External disk drive array, RAID system, tape drive and data backup storage system etc..

Processing unit 16 by the program that is stored in system storage 28 of operation, thereby executing various function application and Data processing, such as realize data extraction method provided by the embodiment of the present invention.Namely: obtain the row of first kind target person The action process data of data and the second class target person are calculated for process；Using the first data extracting rule, to the row Data are calculated for process and carry out data extraction, obtain the first behavior start-stop data of the first kind target person；Use second Data extracting rule carries out data extraction to the action process data, obtains the second behavior of the second class target person Start-stop data.

Embodiment seven

The embodiment of the present invention seven additionally provides a kind of computer readable storage medium, is stored thereon with computer program, It is characterized in that, the data extraction method as described in any embodiment of that present invention is realized when which is executed by processor.Namely: it obtains The action process of first kind target person is taken to calculate the action process data of data and the second class target person；Use first Data extracting rule calculates data to the action process and carries out data extraction, obtains the first of the first kind target person Behavior start-stop data；Using the second data extracting rule, data extraction is carried out to the action process data, obtains described second Second behavior start-stop data of class target person.

The computer storage medium of the embodiment of the present invention, can be using any of one or more computer-readable media Combination.Computer-readable medium can be computer-readable signal media or computer readable storage medium.It is computer-readable Storage medium for example may be-but not limited to-the system of electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor, device or Device, or any above combination.The more specific example (non exhaustive list) of computer readable storage medium includes: tool There are electrical connection, the portable computer diskette, hard disk, random access memory (RAM), read-only memory of one or more conducting wires (ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD- ROM), light storage device, magnetic memory device or above-mentioned any appropriate combination.In this document, computer-readable storage Medium can be any tangible medium for including or store program, which can be commanded execution system, device or device Using or it is in connection.

Computer-readable signal media may include in a base band or as carrier wave a part propagate data-signal, Wherein carry computer-readable program code.The data-signal of this propagation can take various forms, including but unlimited In electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be that computer can Any computer-readable medium other than storage medium is read, which can send, propagates or transmit and be used for By the use of instruction execution system, device or device or program in connection.

The program code for including on computer-readable medium can transmit with any suitable medium, including --- but it is unlimited In wireless, electric wire, optical cable, RF etc. or above-mentioned any appropriate combination.

The computer for executing operation of the present invention can be write with one or more programming languages or combinations thereof Program code, described program design language include object oriented program language-such as Java, Smalltalk, C++, Further include conventional procedural programming language-such as " C " language or similar programming language.Program code can be with It fully executes, partly execute on the user computer on the user computer, being executed as an independent software package, portion Divide and partially executes or executed on a remote computer or server completely on the remote computer on the user computer.? Be related in the situation of remote computer, remote computer can pass through the network of any kind --- including local area network (LAN) or Wide area network (WAN)-be connected to subscriber computer, or, it may be connected to outer computer (such as mentioned using Internet service It is connected for quotient by internet).

Note that the above is only a better embodiment of the present invention and the applied technical principle.It will be appreciated by those skilled in the art that The invention is not limited to the specific embodiments described herein, be able to carry out for a person skilled in the art it is various it is apparent variation, It readjusts and substitutes without departing from protection scope of the present invention.Therefore, although being carried out by above embodiments to the present invention It is described in further detail, but the present invention is not limited to the above embodiments only, without departing from the inventive concept, also It may include more other equivalent embodiments, and the scope of the invention is determined by the scope of the appended claims.

Claims

1. a kind of data extraction method characterized by comprising

The action process for obtaining first kind target person calculates the action process data of data and the second class target person；

Using the first data extracting rule, data are calculated to the action process and carry out data extraction, obtain first classification The first behavior start-stop data of mark personnel；

Using the second data extracting rule, data extraction is carried out to the action process data, obtains the second class target person The second behavior start-stop data of member.

2. the method according to claim 1, wherein the second data extracting rule is used described, to the row Data extraction is carried out for process data, after obtaining the second behavior start-stop data of the second class target person, further includes:

The first behavior start-stop data and the second behavior start-stop data are modified, revised first behavior is obtained Start-stop data and revised second behavior start-stop data.

3. according to the method described in claim 2, it is characterized in that, described use the first data extracting rule, to the behavior Process calculates data and carries out data extraction, obtains the first behavior start-stop data of the first kind target person, comprising:

The behavior from date in data is calculated according to the action process, determines that the behavior of the first kind target person is accurate From date；

If the action process calculates in data and determines institute according to the behavior date of expiry including the behavior date of expiry State the behavior exact end date of first kind target person；

If it does not include the behavior date of expiry that the action process, which calculates in data, but calculates the deadline including behavior, The deadline is then calculated according to the behavior, determines the behavior exact end date of the first kind target person；

If it does not include the behavior date of expiry that the action process, which calculates in data, and does not include that behavior calculates deadline Phase will then when the time interval between the accurate from date of the behavior and current date, which is greater than, calculates time interval threshold value The accurate from date of behavior is determined as the behavior exact end date of the first kind target person.

4. if according to the method described in claim 3, it is characterized in that, it includes row in data that the action process, which calculates, The behavior exact end date of the first kind target person is determined then according to the behavior date of expiry for the date of expiry, is wrapped It includes:

If it includes the behavior date of expiry that the action process, which calculates in data, whether the behavior date of expiry is judged It is abnormal；

If the behavior date of expiry is abnormal, it is determined that it does not include the behavior expiration date that the action process, which calculates in data, Phase；

If the behavior date of expiry is normal, according to the behavior date of expiry, the row of the first kind target person is determined For the accurate date of expiry.

5. according to the method described in claim 3, it is characterized in that, the behavior calculated according to the action process in data From date determines the accurate from date of behavior of the first kind target person, comprising:

The action process is calculated into the behavior in data the latest and calculates behavior from date corresponding to the deadline, is made For the accurate from date of behavior of the first kind target person.

6. according to the method described in claim 3, it is characterized in that, it is described according to the behavior calculate the deadline, determine institute State the behavior exact end date of first kind target person, comprising:

If the action process calculates the behavior calculating deadline in data the latest and the time between current date Interval is greater than the calculating time interval threshold value, then the action process is calculated the behavior in data the latest and calculate cut-off Date, the behavior exact end date as the first kind target person；

If the action process calculates the behavior calculating deadline in data the latest and the time between current date Interval is less than or equal to the calculating time interval threshold value, it is determined that the behavior is not present accurately eventually in the first kind target person The only date.

7. according to the method described in claim 2, it is characterized in that, action process calculating data include:

Month action process calculates data and all action processes calculate data；

Correspondingly, described to use the first data extracting rule, data are calculated to the action process and carry out data extraction, obtain institute State the first behavior start-stop data of first kind target person, comprising:

The behavior from date in data is calculated according to the moon action process, determines that the behavior of the first kind target person is quasi- True from date；

If it includes the moon behavior date of expiry in data that the moon action process, which calculates, according to the moon behavior date of expiry, Determine the behavior exact end date of the first kind target person；

If it does not include the moon behavior date of expiry in data that the moon action process, which calculates, but all action processes calculate The row of the first kind target person is determined then according to the Zhou Hangwei date of expiry including the Zhou Hangwei date of expiry in data For the accurate date of expiry；

If it does not include the moon behavior date of expiry in data that the moon action process, which calculates, and all action processes calculate Do not include the Zhou Hangwei date of expiry in data yet, then the Zhou Hangwei calculating in data is calculated according to all action processes and cut The only date determines the behavior exact end date of the first kind target person.

8. the method according to the description of claim 7 is characterized in that described calculate the week in data according to all action processes Behavior calculates the deadline, determines the behavior exact end date of the first kind target person, comprising:

If the week action process calculates the Zhou Hangwei in data and calculates deadline non-empty, calculated according to the Zhou Hangwei Deadline determines the behavior exact end date of the first kind target person；

If the week action process calculates the Zhou Hangwei in data and calculates the deadline for sky, according to the moon action process The moon behavior calculated in data calculates the deadline, determines the behavior exact end date of the first kind target person.

9. the method according to any one of claim 3-8, which is characterized in that described to the first behavior start-stop data It is modified with the second behavior start-stop data, obtains revised first behavior start-stop data and revised second behavior Start-stop data, comprising:

If the behavior exact end date earlier than the accurate from date of the behavior, by the behavior exact end date It is modified to the date identical with the accurate from date of the behavior；

If the behavior exact end date and the action process calculate the behavior in data the latest and calculate deadline Time interval between phase is greater than the first setting time interval threshold, then by the behavior exact end date be modified to the latest The behavior calculate identical date deadline.

10. according to the method described in claim 2, it is characterized in that, described use the second data extracting rule, to the behavior Process data carries out data extraction, obtains the second behavior start-stop data of the second class target person, comprising:

According to the giver identification in the action process data, the accurate giver identification of the second class target person is determined；

According to the accurate giver identification date corresponding in the action process data, the second class target person is determined The behavior accurate Start Date and behavior accurate deadline of member.

11. according to the method described in claim 10, it is characterized in that, the personnel according in the action process data mark Know, determine the accurate giver identification of the second class target person, comprising:

The different personnel's marks occurred in the action process data described in any one described second class target person corresponding each item Know, goes out in action process data described in corresponding each item of any one described second class target person according to the giver identification at this Existing total degree, is ranked up；

If the total number of letter and number included by the giver identification to be identified is greater than setting number threshold value, will it is described to Identify giver identification, accurate giver identification of any one the second class target person as this；

If the total number of letter and number included by the giver identification to be identified is less than or equal to setting number threshold value, by institute The giver identification being located at after the giver identification to be identified in ranking results is stated, as new giver identification to be identified, and is returned Receipt row judges whether the total number of letter and number included by the giver identification to be identified is greater than setting number threshold value Operation, until having traversed the ranking results.

12. according to the method described in claim 10, it is characterized in that, it is described according to the accurate giver identification in the behavior On the corresponding date, determine that the behavior accurate Start Date of the second class target person and behavior accurately end in process data Date, comprising:

It will include in action process data described in each item of the accurate giver identification, the most behavior of number of repetition starts day Phase, the behavior accurate Start Date as the second class target person；

If the behavior deadline is not all sky, then in action process data described in each item including the accurate giver identification It will include in action process data described in each item of the accurate giver identification, number of repetition most behavior deadline is made For the behavior accurate deadline of the second class target person.

If in action process data described in each item including the accurate giver identification, the behavior deadline is all empty, then will Behavior corresponding to action process data described in each item including the accurate giver identification the latest calculates the deadline, as The behavior accurate deadline of the second class target person.

13. method described in any one of 0-12 according to claim 1, which is characterized in that described to the first behavior start-stop Data and the second behavior start-stop data are modified, and obtain revised first behavior start-stop data and revised second Behavior start-stop data, comprising:

The second behavior by the behavior accurate deadline earlier than the second class target person of the behavior accurate Start Date Start-stop data are deleted；

When time interval between the behavior accurate deadline and the behavior accurate Start Date is greater than the second setting Between the second behavior start-stop data of the second class target person for being spaced delete.

14. a kind of data extraction device characterized by comprising

Data acquisition module, the action process for obtaining first kind target person calculate data and the second class target person Action process data；

First behavior start-stop data extraction module calculates data to the action process for using the first data extracting rule Data extraction is carried out, the first behavior start-stop data of the first kind target person are obtained；

Second behavior start-stop data extraction module carries out the action process data for using the second data extracting rule Data are extracted, and the second behavior start-stop data of the second class target person are obtained.

15. a kind of equipment, which is characterized in that the equipment includes:

One or more processors；

Storage device, for storing one or more programs,

When one or more of programs are executed by one or more of processors, so that one or more of processors are real The now data extraction method as described in any in claim 1-13.

16. a kind of storage medium comprising computer executable instructions, the computer executable instructions are by computer disposal For executing the data extraction method as described in any in claim 1-13 when device executes.