CN108399240A - Enterprise's modification information data digging method and system - Google Patents

Enterprise's modification information data digging method and system Download PDF

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Publication number
CN108399240A
CN108399240A CN201810170853.8A CN201810170853A CN108399240A CN 108399240 A CN108399240 A CN 108399240A CN 201810170853 A CN201810170853 A CN 201810170853A CN 108399240 A CN108399240 A CN 108399240A
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enterprise
incidence relation
information
relational structure
relation table
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CN108399240B (en
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王凯
程浩
黄文瀚
柳超
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Beijing Dike Technology Co Ltd
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Beijing Dike Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2465Query processing support for facilitating data mining operations in structured databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/22Indexing; Data structures therefor; Storage structures
    • G06F16/2282Tablespace storage structures; Management thereof
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28Databases characterised by their database models, e.g. relational or object models
    • G06F16/284Relational databases

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  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Computational Linguistics (AREA)
  • Probability & Statistics with Applications (AREA)
  • Mathematical Physics (AREA)
  • Fuzzy Systems (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The present invention provides enterprise's modification information data digging methods, including:The information source data of enterprise's altering event and information to be excavated are obtained, information source data is cleaned according to information to be excavated to obtain incidence relation table;Relational structure table is defined, and according to relational structure table and incidence relation table extraction enterprise altering event relational structure;Traversal incidence relation table simultaneously supplements the initial time in enterprise's altering event relational structure and end time, to form complete data mining information.The present invention shows the situation of change of Suo Cha enterprises several years operation by this form by the dimension of addition time on the basis of original static enterprise operation situation to user's dynamic.It allows user that can intuitively obtain the occurrences in human life, equity and the change conditions of investments abroad of enterprise, it is assisted preferably to judge.

Description

Enterprise's modification information data digging method and system
Technical field
The present invention relates to data mining technology fields, more particularly, to enterprise's modification information data digging method and system.
Background technology
In enterprise's public data, it can be seen that many valuable information datas, such as personal and enterprise, enterprise and enterprise Between the data such as investor, legal person, shareholder, supervisor, director, current majority is all static status display.
In order to allow user that can intuitively obtain the occurrences in human life, equity and the change conditions of investments abroad of enterprise, original quiet State variation on the basis of add the time dimension, to by the form of dynamic image to user show Suo Cha enterprises from set up to Instantly dynamic change situation.This needs to carry out at excavation the information such as the change record, annual report and investor of Suo Cha companies Reason.
And current problem is, in original information source, there are a large amount of extraneous data/dirty datas, cannot be directly sharp Become data to be shown with it, therefore lacks the side that effectively to the business data in original information source can excavate processing Method.
Invention content
In view of this, the purpose of the present invention is to provide enterprise's modification information data digging method and systems, by original There is the dimension for adding the time on the basis of static enterprise operation situation, Suo Cha enterprises number is showed to user's dynamic by this form The situation of change that year manages.It allows user that can intuitively obtain the occurrences in human life, equity and the change conditions of investments abroad of enterprise, assists It is preferably judged.
In a first aspect, an embodiment of the present invention provides enterprise's modification information data digging methods, including:
The information source data of enterprise's altering event and information to be excavated are obtained, according to the information to be excavated to described information Source data is cleaned to obtain incidence relation table;
Relational structure table is defined, and according to the relational structure table and the change of incidence relation table extraction enterprise Event relation structure;
It traverses the incidence relation table and supplements the initial time in enterprise's altering event relational structure and end Time, to form complete data mining information.
With reference to first aspect, an embodiment of the present invention provides the first possible embodiments of first aspect, wherein institute State the information source data for obtaining enterprise altering event, described information source data is cleaned to obtain incidence relation table include:
Extract the information source keyword of described information source data;
Mapping will be established between the title of enterprise's altering event and described information source keyword to obtain incidence relation and reflect It penetrates;
According to the information to be excavated, cleaning is carried out to described information source data using described information source keyword and is screened To the incidence relation table.
With reference to first aspect, an embodiment of the present invention provides second of possible embodiments of first aspect, wherein institute It states and defines relational structure table, and closed according to the relational structure table and incidence relation table extraction enterprise altering event Architecture includes:
Define the relational structure table;
The first row for traversing the incidence relation table finds out the first specific changed content, and is looked in incidence relation mapping To the mapping relations of the described first specific changed content;
The mapping relations are set as indicating, forming the enterprise in conjunction with the structure item in the relational structure table becomes More event relational structure.
With reference to first aspect, an embodiment of the present invention provides the third possible embodiments of first aspect, wherein institute It states the traversal incidence relation table and supplements the initial time in enterprise's altering event relational structure and end time, with Forming complete data mining information includes:
Traverse the incidence relation table;
The initial time and the end time are supplemented according to the change entry of enterprise's altering event, wherein institute It includes the change time to state change entry.
The third possible embodiment with reference to first aspect, an embodiment of the present invention provides the 4th kind of first aspect Possible embodiment, wherein further include:
The second row for traversing the incidence relation table finds out the second specific changed content;
It is mapped to form new firms altering event relational structure according to the incidence relation;
Inquire whether the new firms altering event relational structure has identical mark.
The 4th kind of possible embodiment with reference to first aspect, an embodiment of the present invention provides the 5th kind of first aspect Possible embodiment, wherein further include:
If having the identical mark, the character string carried to the mark is supplemented;
If the identical mark is not present, the mark is created, and forms the complete data mining information.
The third possible embodiment with reference to first aspect, an embodiment of the present invention provides the 6th kind of first aspect Possible embodiment, wherein in the case where the traversal incidence relation table does not find the initial time, described will rise Time beginning is set as the industrial and commercial registration time of enterprise.
The third possible embodiment with reference to first aspect, an embodiment of the present invention provides the 7th kind of first aspect Possible embodiment, wherein, then will be described in the case where the traversal incidence relation table does not find the end time End time is set as distinctive mark symbol.
With reference to first aspect, an embodiment of the present invention provides the 8th kind of possible embodiments of first aspect, wherein institute It includes occurrences in human life tenure, equity, investment, registered capital, change of residence record and business scope change to state information source data.
Second aspect, an embodiment of the present invention provides enterprise's modification information data digging systems, including:
Acquiring unit, the information source data for obtaining enterprise's altering event and information to be excavated, according to described to be excavated Information cleans described information source data to obtain incidence relation table;
Extraction unit, for defining relational structure table, and according to the relational structure table and the incidence relation table Lattice extract enterprise's altering event relational structure;
Data mining unit, for traversing the incidence relation table and supplementing in enterprise's altering event relational structure Initial time and the end time, to form complete data mining information.
The present invention provides enterprise's modification information data digging methods, including:Obtain the information source number of enterprise's altering event According to information to be excavated, information source data is cleaned according to information to be excavated to obtain incidence relation table;Definition relationship knot Structure table, and according to relational structure table and incidence relation table extraction enterprise altering event relational structure;Traverse incidence relation Table simultaneously supplements the initial time in enterprise's altering event relational structure and end time, is believed with forming complete data mining Breath.The present invention on the basis of original static enterprise operation situation by adding the dimension of time, by this form to user Dynamic shows the situation of change of Suo Cha enterprises several years operation.Allow user that can intuitively obtain the occurrences in human life of enterprise, equity and externally The change conditions of investment, assist it preferably to judge.
Other features and advantages of the present invention will illustrate in the following description, also, partly become from specification It obtains it is clear that understand through the implementation of the invention.The purpose of the present invention and other advantages are in specification, claims And specifically noted structure is realized and is obtained in attached drawing.
To enable the above objects, features and advantages of the present invention to be clearer and more comprehensible, preferred embodiment cited below particularly, and coordinate Appended attached drawing, is described in detail below.
Description of the drawings
It, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution in the prior art Embodiment or attached drawing needed to be used in the description of the prior art are briefly described, it should be apparent that, in being described below Attached drawing is some embodiments of the present invention, for those of ordinary skill in the art, before not making the creative labor It puts, other drawings may also be obtained based on these drawings.
Fig. 1 is enterprise's modification information data digging method flow chart provided in an embodiment of the present invention;
Fig. 2 is step S101 method flow diagrams provided in an embodiment of the present invention;
Fig. 3 is step S102 method flow diagrams provided in an embodiment of the present invention;
Fig. 4 is enterprise's modification information data digging system schematic diagram provided in an embodiment of the present invention.
Icon:
10- acquiring units;20- extraction units;30- data mining units.
Specific implementation mode
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with attached drawing to the present invention Technical solution be clearly and completely described, it is clear that described embodiments are some of the embodiments of the present invention, rather than Whole embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not making creative work premise Lower obtained every other embodiment, shall fall within the protection scope of the present invention.
In enterprise's public data, it can be seen that many valuable information datas, such as personal and enterprise, enterprise and enterprise Between the data such as investor, legal person, shareholder, supervisor, director, current majority is all static status display.In order to allow user can be with Occurrences in human life, equity and the change conditions of investments abroad for intuitively obtaining enterprise, the time is added on the basis of original static change Dimension, to show Suo Cha enterprises from setting up to dynamic change situation instantly to user by the form of dynamic image.This It needs to carry out excavation processing to information such as the change records, annual report and investor of Suo Cha companies.And current problem is, In original information source, there are a large amount of extraneous data/dirty datas, cannot directly utilize it to become data to be shown, therefore lack Can the method for excavating processing effectively be carried out to the business data in original information source less.Based on this, the embodiment of the present invention provides Enterprise's modification information data digging method and system, pass through addition time on the basis of original static enterprise operation situation Dimension shows the situation of change of Suo Cha enterprises several years operation by this form to user's dynamic.User can intuitively obtain The occurrences in human life, equity and the change conditions of investments abroad for taking enterprise, assist it preferably to judge, enhance user experience.
For ease of understanding the present embodiment, enterprise's modification information data disclosed in the embodiment of the present invention are dug first Pick method describes in detail.
Embodiment one:
Fig. 1 is enterprise's modification information data digging method flow chart provided in an embodiment of the present invention.
Referring to Fig.1, enterprise's modification information data digging method includes:
Step S101 obtains the information source data of enterprise's altering event and information to be excavated, according to information to be excavated to letter Breath source data is cleaned to obtain incidence relation table;
Step S102 defines relational structure table, and is become according to relational structure table and incidence relation table extraction enterprise More event relational structure;
Step S103 traverses incidence relation table and supplements the initial time in enterprise's altering event relational structure and end Time, to form complete data mining information.
Specifically, cleaning process is the process to be screened to information source data according to information to be excavated.Information source number It is changed according to occurrences in human life tenure, equity, investment, registered capital, change of residence record and business scope is included, but are not limited to.
Further, include with reference to Fig. 2, step S101:
Step S201 extracts the information source keyword of information source data;
Step S202 will establish mapping and obtain incidence relation and reflect between the title of enterprise's altering event and information source keyword It penetrates;
Step S203 carries out cleaning screening to information source data using information source keyword and obtains according to information to be excavated Incidence relation table.
Specifically, the embodiment of the present invention using information source keyword judge the information source whether with the content to be showed (" appoint Duty ", " equity participation " or " investments abroad ") it is associated, to be screened, breakneck acceleration can be accelerated, and obtain incidence relation table Lattice.
Further, include with reference to Fig. 3, step S102:
Step S301 defines relational structure table;
The first row of step S302, traversal incidence relation table find out the first specific changed content, and are reflected in incidence relation Hit the mapping relations for finding the first specific changed content;
Mapping relations are set as indicating by step S303, and the structure item in marriage relation structure table forms enterprise's change Event relation structure.
Specifically, by taking the table after cleaning data as an example, the first row of the table is traversed, it will be " before changing " and " after change " It compares, finds out the first specific changed content, by consulting the relationship of the event known to mapping relations, by " name " and " relationship " A character string is formed, and is set as indicating, and is indicated with this, the structure item in marriage relation structure table, enterprise is formed and becomes More event relational structure, enterprise's altering event relational structure at this time are not completed still, and initial time and end time are short of.
Further, step S103 includes:
Traverse the incidence relation table;
The initial time and the end time are supplemented according to the change entry of enterprise's altering event, wherein institute It includes the change time to state change entry.
Further, further include:
The second row for traversing the incidence relation table finds out the second specific changed content;
It is mapped to form new firms altering event relational structure according to the incidence relation;
Inquire whether the new firms altering event relational structure has identical mark.
Further, further include:
If having the identical mark, the character string carried to the mark is supplemented;
If the identical mark is not present, the mark is created, and forms the complete data mining information.
Further, in the case where the traversal incidence relation table does not find the initial time, by the starting Time is set as the industrial and commercial registration time of enterprise.
Further, in the case where the traversal incidence relation table does not find the end time, then by the knot The beam time is set as distinctive mark symbol.
The present invention provides enterprise's modification information data digging methods, including:Obtain the information source number of enterprise's altering event According to information to be excavated, information source data is cleaned according to information to be excavated to obtain incidence relation table;Definition relationship knot Structure table, and according to relational structure table and incidence relation table extraction enterprise altering event relational structure;Traverse incidence relation Table simultaneously supplements the initial time in enterprise's altering event relational structure and end time, is believed with forming complete data mining Breath.The present invention on the basis of original static enterprise operation situation by adding the dimension of time, by this form to user Dynamic shows the situation of change of Suo Cha enterprises several years operation.Allow user that can intuitively obtain the occurrences in human life of enterprise, equity and externally The change conditions of investment, assist it preferably to judge.
Embodiment two:
In original information source, there are a large amount of extraneous data/dirty datas, directly it cannot be utilized to become number to be shown According to, it is therefore desirable to excavation processing is carried out to the business data in original information source.
The excavation of business data is handled, and is needed in different letters such as the change records, annual report and investor of Suo Cha companies In breath source find enterprise personage, enterprise event and time linear relationship, for example:" Shen " is in " 2011-02-14 00:00: 00 " holds a post in " Beijing XXX Science and Technology Ltd.s ", in " 2012-02-16 00:00:00 " leaves office.
The method of enterprise's modification information data mining provided in an embodiment of the present invention can excavate enterprise's change on demand Information.
The present embodiment is for it will show " occurrences in human life tenure ", " equity " or " investment " etc..Information source is illustrated:Such as the following table 1, For the part change record of " Beijing XXX Science and Technology Ltd.s ":
Table 1
The information source usually stored form thus, wherein " registered capital " not in the row of displaying, certain information source also Have " change of residence record ", " business scope change " or other dirty datas.
Step 1:Information source is obtained, and cleans data.
First, required incidence relation is defined, is mapped being established between enterprise event title and information source keyword.It is as follows Table 2.
Table 2
Classification Title Information source keyword
INVEST-H It participates in by shares Natural person shareholder
INVEST-C It participates in by shares Enterprise shareholder
OWN-C Legal person Natural person legal person
OWN Legal person Business entity
SERVE Tenure Including director, supervisor, manager etc.
BRANCH Branch Branch
RENAME It is renamed as Former name
Then, in numerous information sources, judge whether the information source (" appoints with the content to be showed by keyword Duty ", " equity participation " or " investments abroad ") it is associated, to be screened.It after cleaning, held a post, participated in by shares and investments abroad etc. need The incidence relation wanted.As shown in table 3.
Table 3
Step 2:Extract the relationship in enterprise's altering event
When extraction relationship, relational structure is first defined.Such as table 4.
Table 4
Then, by taking the table after cleaning data as an example, traverse the first row of the table, first, will " before changing " and " change It compares afterwards ", finds out specific changed content, obtain the change of " natural person shareholder ", by looking into the above mapping table 2, learn the pass System is " equity participation ";And one character string of " name " and " relationship " composition is set as indicating.Such as " Shen " and " equity participation ", then by it It forms " Shen equity participation ", and is set as indicating, see the table below 5.
Table 5
Step 3:It extracts the starting of enterprise's altering event and terminates the time.
The linear session of extraction will ensure to carry it through to the end.
First, the data form after traversal cleaning;
Then, it is " before changing " still " to become according to change entry for some enterprise's altering event (tenure, investment etc.) It is rear ", to judge that " change time " is as " initial time ", still " end time ";
For example, being found when traversal, " Shen " is appeared in for the first time " after change ", therefore we judge that " the change time " is " initial time ", see the table below 6.
Table 6
Then, when we traverse the second row of table, comparison obtains specific changed content, and " name " and " relationship " is formed One character string is set as indicating, inquires and whether have identical mark.If so, then being carried out to it perfect;If nothing creates.
For example, the second row " Shen " of table has identical flag bit, and appear in for the second time " before changing ", therefore we sentence Disconnected should " change time " be " end time ", see the table below, and " Mr. Wang " then creates without identical flag bit.Such as 7 institute of table after establishment Show.
Table 7
It should be noted that as a kind of special case situation, after traversal, for some enterprise's altering event, if without clear Initial time, then using the industrial and commercial registration time of place enterprise as initial time;
If no clear end time (leave office or invest the end time), acquiescence is still underway at present, with a certain special Indicate that (such as 9999-99-99) is indicated.
Show that enterprise's change shows required time dimension relationship as a result,.
The method of enterprise's modification information data mining provided in an embodiment of the present invention becomes with the enterprise that above-described embodiment provides The method technical characteristic having the same that more information data is excavated reaches identical so can also solve identical technical problem Technique effect.
Embodiment three:
Fig. 4 is enterprise's modification information data digging system schematic diagram provided in an embodiment of the present invention.
Reference Fig. 4, enterprise's modification information data digging system, including:
Acquiring unit 10, the information source data for obtaining enterprise's altering event and information to be excavated, wait digging according to described Pick information cleans described information source data to obtain incidence relation table;
Extraction unit 20, for defining relational structure table, and according to the relational structure table and the incidence relation Table extracts enterprise's altering event relational structure;
Data mining unit 30, for traversing the incidence relation table and supplementing enterprise's altering event relational structure In initial time and the end time, to form complete data mining information.
The computer program product of enterprise's modification information data digging method and system that the embodiment of the present invention is provided, Computer readable storage medium including storing program code, the instruction that said program code includes can be used for executing front side Method described in method embodiment, specific implementation can be found in embodiment of the method, and details are not described herein.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description It with the specific work process of device, can refer to corresponding processes in the foregoing method embodiment, details are not described herein.
It, can be with if the function is realized in the form of SFU software functional unit and when sold or used as an independent product It is stored in a computer read/write memory medium.Based on this understanding, technical scheme of the present invention is substantially in other words The part of the part that contributes to existing technology or the technical solution can be expressed in the form of software products, the meter Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be People's computer, server or network equipment etc.) it performs all or part of the steps of the method described in the various embodiments of the present invention. And storage medium above-mentioned includes:USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), arbitrary access The various media that can store program code such as memory (RAM, RandomAccessMemory), magnetic disc or CD.
In addition, term " first ", " second ", " third " are used for description purposes only, it is not understood to indicate or imply phase To importance.
Finally it should be noted that:Embodiment described above, only specific implementation mode of the invention, to illustrate the present invention Technical solution, rather than its limitations, scope of protection of the present invention is not limited thereto, although with reference to the foregoing embodiments to this hair It is bright to be described in detail, it will be understood by those of ordinary skill in the art that:Any one skilled in the art In the technical scope disclosed by the present invention, it can still modify to the technical solution recorded in previous embodiment or can be light It is readily conceivable that variation or equivalent replacement of some of the technical features;And these modifications, variation or replacement, do not make The essence of corresponding technical solution is detached from the spirit and scope of technical solution of the embodiment of the present invention, should all cover the protection in the present invention Within the scope of.Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (10)

1. a kind of enterprise's modification information data digging method, which is characterized in that including:
The information source data of enterprise's altering event and information to be excavated are obtained, according to the information to be excavated to described information source number According to being cleaned to obtain incidence relation table;
Relational structure table is defined, and according to the relational structure table and incidence relation table extraction enterprise altering event Relational structure;
It traverses the incidence relation table and supplements the initial time in enterprise's altering event relational structure and end time, To form complete data mining information.
2. information data method for digging according to claim 1, which is characterized in that the letter for obtaining enterprise's altering event Cease source data, described information source data is cleaned to obtain incidence relation table include:
Extract the information source keyword of described information source data;
Mapping will be established between the title of enterprise's altering event and described information source keyword obtains incidence relation mapping;
According to the information to be excavated, cleaning screening is carried out to described information source data using described information source keyword and obtains institute State incidence relation table.
3. information data method for digging according to claim 1, which is characterized in that the definition relational structure table, and Include according to the relational structure table and incidence relation table extraction enterprise altering event relational structure:
Define the relational structure table;
The first row for traversing the incidence relation table finds out the first specific changed content, and finds institute in incidence relation mapping State the mapping relations of the first specific changed content;
The mapping relations are set as indicating, forming the enterprise in conjunction with the structure item in the relational structure table becomes experienced Part relational structure.
4. information data method for digging according to claim 1, which is characterized in that the traversal incidence relation table And the initial time in enterprise's altering event relational structure and end time are supplemented, to form complete data mining information Including:
Traverse the incidence relation table;
The initial time and the end time are supplemented according to the change entry of enterprise's altering event, wherein the change More entry includes the change time.
5. information data method for digging according to claim 4, which is characterized in that further include:
The second row for traversing the incidence relation table finds out the second specific changed content;
It is mapped to form new firms altering event relational structure according to the incidence relation;
Inquire whether the new firms altering event relational structure has identical mark.
6. information data method for digging according to claim 5, which is characterized in that further include:
If having the identical mark, the character string carried to the mark is supplemented;
If the identical mark is not present, the mark is created, and forms the complete data mining information.
7. information data method for digging according to claim 4, which is characterized in that traversing the incidence relation table not In the case of finding the initial time, the initial time is set as to the industrial and commercial registration time of enterprise.
8. information data method for digging according to claim 4, which is characterized in that traversing the incidence relation table not In the case of finding the end time, then the end time is set to distinctive mark symbol.
9. information data method for digging according to claim 1, which is characterized in that described information source data includes that occurrences in human life are appointed Duty, equity, investment, registered capital, change of residence record and business scope change.
10. a kind of enterprise's modification information data digging system, which is characterized in that including:
Acquiring unit, the information source data for obtaining enterprise's altering event and information to be excavated, according to the information to be excavated Described information source data is cleaned to obtain incidence relation table;
Extraction unit is carried for defining relational structure table, and according to the relational structure table and the incidence relation table Take enterprise's altering event relational structure;
Data mining unit, for traversing the incidence relation table and supplementing rising in enterprise's altering event relational structure Begin time and end time, to form complete data mining information.
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