CN114048243A

CN114048243A - Method and device for mining personnel transition process, storage medium and electronic equipment

Info

Publication number: CN114048243A
Application number: CN202111215257.5A
Authority: CN
Inventors: 张鹏飞
Original assignee: Yancheng Jindi Technology Co Ltd
Current assignee: Yancheng Tianyanchawei Technology Co ltd
Priority date: 2021-10-19
Filing date: 2021-10-19
Publication date: 2022-02-15

Abstract

The embodiment of the invention discloses a method and a device for mining a personnel transition process, a storage medium and electronic equipment, wherein the method comprises the following steps: acquiring a plurality of pieces of personnel change information associated with the target object, wherein each piece of personnel change information comprises: change time and change information item; determining a plurality of time nodes according to the change time, and processing the personnel change information at the same time node according to the change information items to determine the personnel job information at each time node; and determining the personnel transition process corresponding to the target object according to the plurality of time nodes and the personnel job information at each time node. The change process of the staff can show the main staff and position change of the target object which can be used for all jobs up to now, and by the method, the user can quickly and conveniently know the background and development history of the company and can be helped to better analyze the information such as the strength, the risk and the like of the company.

Description

Method and device for mining personnel transition process, storage medium and electronic equipment

Technical Field

The present invention relates to the field of data processing technologies, and in particular, to a method and an apparatus for mining a person transition history, a storage medium, and an electronic device.

Background

With the increasing economic strength of the country, companies or enterprises in various scales in China also grow rapidly like bamboo shoots in spring after rain. In the process of growth, with iterative update of personnel, legal persons and company high governments (board of directors, prisoners, managers and the like) can reflect the strength and development condition of a company as a leading sheep and a middle-stream column of the company. It is often obvious to the incumbent legal and high-head, but is a difficult and meaningful thing to mine the corporate and high-head of the company at various stages of history.

Therefore, how to excavate the legal and high-level management of the target object in each development stage from the mass data so as to determine the personnel transition course of the target object is a technical problem to be solved in the prior art.

Disclosure of Invention

The invention aims to solve the problem of how to dig out the personnel transition course of the target object from mass data.

The invention is provided for solving the technical problem of how to dig out the personnel transition history of the target object from the mass data, and the main personnel and the corresponding position change of the target object which can be determined to be all the jobs so far can be shown to the user based on the personnel transition history. The embodiment of the invention provides a method and a device for mining a personnel transition process, a storage medium and electronic equipment.

According to an aspect of the embodiments of the present invention, there is provided a method for mining a person transition history, including:

acquiring a plurality of pieces of personnel change information associated with the target object, wherein each piece of personnel change information comprises: change time and change information item;

determining a plurality of time nodes according to the change time, and processing the personnel change information at the same time node according to the change information items to determine the personnel job information at each time node;

and determining the personnel transition process corresponding to the target object according to the plurality of time nodes and the personnel job information at each time node.

Preferably, the acquiring the plurality of pieces of personnel change information associated with the target object includes:

searching in a data source based on the identification information of the target object to acquire change records and illumination information associated with the target object;

and analyzing the change records and the illumination information to acquire a plurality of pieces of personnel change information associated with the target object.

Preferably, the analyzing the change record and the lighting information to obtain a plurality of pieces of personnel change information associated with the target object includes:

extracting a plurality of pieces of target information of which the change types belong to personnel change types from the change records and the lighting information;

according to the change time and the change content in each piece of target information, carrying out duplicate removal processing on the plurality of pieces of target information;

determining the plurality of pieces of target information subjected to the past re-processing as a plurality of pieces of person change information associated with the target object.

Preferably, the performing, according to the change time and the change content in each piece of target information, a deduplication process on the pieces of target information includes:

judging whether the change contents corresponding to any two adjacent change times are consistent;

and when the change contents corresponding to any two adjacent change times are consistent, deleting a corresponding piece of target information from the plurality of pieces of target information according to a preset first deletion rule.

Preferably, the changed contents corresponding to any continuous three changing times are a first changed content, a second changed content and a third changed content;

the performing deduplication processing on the plurality of pieces of target information according to the change time and the change content in each piece of target information includes:

judging whether the second changed content is a partial content of the first changed content, and judging whether the third changed content is consistent with the first changed content;

and when the second changed content is a partial content of the first changed content and the third changed content is consistent with the first changed content, deleting two corresponding pieces of target information from the plurality of pieces of target information according to a preset second deletion rule.

determining the variation of the changed content corresponding to any two adjacent changed times;

and when the variation is larger than the variation threshold, deleting a corresponding piece of target information from the plurality of pieces of target information according to a preset third deletion rule.

Preferably, the performing deduplication processing on the plurality of pieces of target information according to change time and change content in each piece of target information further includes:

determining the time difference value of any two adjacent different change times;

and when the time difference is smaller than a time threshold, deleting a corresponding piece of target information from the plurality of pieces of target information according to a preset fourth deletion rule.

Preferably, the determining a plurality of time nodes according to the change time includes:

grouping the plurality of pieces of personnel change information according to the change time to obtain a plurality of groups of personnel change information, wherein each group of personnel change information has the same change time and comprises at least one piece of personnel change information;

and determining the change time corresponding to each group of personnel change information as a time node, thereby determining a plurality of time nodes.

Preferably, the processing the change information of the personnel at the same time node according to the change information item to determine the staff member information at each time node includes:

sequentially selecting each time node in the plurality of time nodes as a current time node according to the time sequence:

and when the current time node only has a single piece of personnel change information, determining the personnel job information at the current time node according to change information items in the personnel change information at the current time node.

Preferably, the processing the change information of the personnel at the same time node according to the change information item to determine the job information of the personnel at each time node further includes:

when the current time node has a plurality of pieces of personnel change information, information fusion is carried out according to the change information items and the change types of the plurality of pieces of personnel change information so as to obtain single piece of personnel change information subjected to information fusion;

and determining the staff occupational information at the current time node according to the change information items in the single staff change information subjected to information fusion.

Preferably, the determining the person transition history corresponding to the target object according to the plurality of time nodes and the person job information at each time node includes:

carrying out consistency adjustment on the staffing information at each time node;

and determining the personnel transition process corresponding to the target object according to the plurality of time nodes and the consistence adjusted personnel job information at each time node.

Preferably, wherein said making consistent adjustments to staff occupational information at each time node comprises:

extracting personnel name information in the personnel job information at each time node to obtain a personnel name set;

judging whether any two person name information in the person name set are consistent;

when any two person name information in the person name set are inconsistent, carrying out format conversion on the two person name information according to a preset conversion rule;

and when the two person name information after format conversion are consistent, performing text consistency adjustment on the two person name information according to a preset adjustment rule.

Preferably, the determining the person transition history corresponding to the target object according to the plurality of time nodes and the information of the role of the person at each time node after the consistency adjustment comprises:

determining the information of the personnel who are present and the information of the personnel who are not present at each time node according to the consistence adjusted information of the personnel who are present at all the time nodes in the plurality of time nodes;

according to the information of the personnel who are present and the information of the personnel who are not present at each time node and the corresponding previous time node, determining labeling information corresponding to the job-holding states of all the personnel involved at each time node;

and determining the personnel transition process corresponding to the target object based on the information of the personnel who are present at each time node, the information of the personnel who are not present and the labeled information.

Preferably, wherein the method further comprises:

and displaying the personnel transition process according to a preset display rule.

Preferably, wherein the method further comprises:

rendering the information of the personnel who are present, the information of the personnel who are not present and the marking information in the personnel transition process according to a preset rendering rule;

and displaying the rendered personnel transition history according to a preset display rule.

Preferably, wherein the method further comprises:

and when the person name information in the person transition process is clicked, displaying a detail information page of the person corresponding to the person name information.

According to another aspect of the embodiments of the present invention, there is provided a mining apparatus for a person transition history, including:

a person change information acquisition unit configured to acquire a plurality of pieces of person change information associated with the target object, wherein each piece of person change information includes: change time and change information item;

the personnel job information determining unit is used for determining a plurality of time nodes according to the change time and processing the personnel change information at the same time node according to the change information items so as to determine the personnel job information at each time node;

and the personnel transition course determining unit is used for determining the personnel transition course corresponding to the target object according to the plurality of time nodes and the personnel job information at each time node.

According to still another aspect of an embodiment of the present invention, there is provided an electronic apparatus including: a processor; a memory for storing processor-executable instructions; and the processor is used for reading the executable instructions from the memory and executing the instructions to realize the method of any one of the above embodiments of the invention.

According to yet another aspect of embodiments of the present invention, there is provided a computer-readable storage medium storing a computer program for executing the method according to any one of the above-mentioned embodiments of the present invention.

Based on the mining method and apparatus for the staff transition history, the storage medium and the electronic device provided by the above embodiments of the present invention, from the perspective of a target object (e.g., a company or an enterprise), the main staff and position information of the target object at each time node are mined from a plurality of pieces of staff change information associated with the target object, the staff transition histories of the target object are serially connected according to the sequence of change times, and the main staff and position changes of all jobs for which the target object is established up to now can be displayed through the staff transition histories. Moreover, starting from a plurality of authoritative data sources, personnel change information of the plurality of data sources is integrated, so that the final mining result is more persuasive. And (4) aiming at the judgment of multiple positions of personnel, deducing and fusing according to the change information items, so that each personnel has complete position information. In terms of data presentation, all persons involved at a time node and their corresponding job changes can be grasped by the time node. In addition, by setting the marking information of 'adding' and 'exiting', the entering and exiting time of the personnel can be obviously displayed. Therefore, convenience is provided for a user to know the personnel transition process and the specific change time point of the target object, the background and the development history of the company can be quickly and conveniently known through the method, and the user is helped to better analyze the information such as the strength, the risk and the like of the company.

The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.

Drawings

The above and other objects, features and advantages of the present invention will become more apparent by describing in more detail embodiments of the present invention with reference to the attached drawings. The accompanying drawings are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings, like reference numbers generally represent like parts or steps.

FIG. 1 is a schematic flow chart diagram illustrating a method for mining a person transition history according to an exemplary embodiment of the present invention;

FIG. 2 is a diagram of a display page of a person transition history provided by an exemplary embodiment of the present invention;

FIG. 3 is a schematic structural diagram of a mining device for personnel transition provided by an exemplary embodiment of the present invention;

fig. 4 is a structure of an electronic device according to an exemplary embodiment of the present invention.

Detailed Description

Hereinafter, example embodiments according to the present invention will be described in detail with reference to the accompanying drawings. It is to be understood that the described embodiments are merely a subset of embodiments of the invention and not all embodiments of the invention, with the understanding that the invention is not limited to the example embodiments described herein.

It should be noted that: the relative arrangement of the components and steps, the numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.

It will be understood by those of skill in the art that the terms "first," "second," and the like in the embodiments of the present invention are used merely to distinguish one element, step, device, module, or the like from another element, and do not denote any particular technical or logical order therebetween.

It should also be understood that in embodiments of the present invention, "a plurality" may refer to two or more and "at least one" may refer to one, two or more.

It is also to be understood that any reference to any component, data, or structure in the embodiments of the invention may be generally understood as one or more, unless explicitly defined otherwise or stated to the contrary hereinafter.

In addition, the term "and/or" in the present invention is only one kind of association relationship describing the associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In the present invention, the character "/" generally indicates that the preceding and following related objects are in an "or" relationship.

It should also be understood that the description of the embodiments of the present invention emphasizes the differences between the embodiments, and the same or similar parts may be referred to each other, so that the descriptions thereof are omitted for brevity.

Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description.

The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses.

Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail, but are intended to be part of the specification where appropriate.

It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.

Embodiments of the invention are operational with numerous other general purpose or special purpose computing system environments or configurations, and with numerous other electronic devices, such as terminal devices, computer systems, servers, etc. Examples of well known terminal devices, computing systems, environments, and/or configurations that may be suitable for use with electronic devices, such as terminal devices, computer systems, servers, and the like, include, but are not limited to: personal computer systems, server computer systems, thin clients, thick clients, hand-held or laptop devices, microprocessor-based systems, set-top boxes, programmable consumer electronics, networked personal computers, minicomputer systems, mainframe computer systems, distributed cloud computing environments that include any of the above, and the like.

Electronic devices such as terminal devices, computer systems, servers, etc. may be described in the general context of computer system-executable instructions, such as program modules, being executed by a computer system. Generally, program modules may include routines, programs, objects, components, logic, data structures, etc. that perform particular tasks or implement particular abstract data types. The computer system/server may be practiced in distributed cloud computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed cloud computing environment, program modules may be located in both local and remote computer system storage media including memory storage devices.

Exemplary method

Fig. 1 is a flowchart illustrating a mining method for a person transition history according to an exemplary embodiment of the present invention. The embodiment can be applied to an electronic device, and as shown in fig. 1, the mining method 100 for a person transition history includes the following steps:

step 101, obtaining a plurality of pieces of personnel change information associated with a target object, wherein each piece of personnel change information comprises: change time and change information items.

Preferably, the acquiring the plurality of pieces of personnel change information associated with the target object includes: searching in a data source based on the identification information of the target object to acquire change records and illumination information associated with the target object; and analyzing the change records and the illumination information to acquire a plurality of pieces of personnel change information associated with the target object.

As one example, the target object may be various types of companies or businesses, and the identification information of the target object may be a name, a code, an identification code, or the like of the target object that can uniquely identify the target object.

In general, when a change occurs to an important person (for example, a legal person, a board of directors, a supervisor, a manager, and the like) of a company or a business, a person change record needs to be made to a relevant department (for example, a business office) to generate person change information. Therefore, when mining the person transition history of the target object, it is necessary to acquire a plurality of pieces of person change information associated with the target object.

In an embodiment of the present invention, each piece of person change information includes: change time and change information items. The alteration information item includes: an item change, a pre-change text, and a post-change text. Wherein the change item represents a personal change such as a legal person/stockholder/director, the text before the change includes name information and position information of a person before the personal change, the text after the change includes name information and position information of a person after the personal change, and the change item corresponds to the position information in the text before the change and the text after the change. Illustratively, taking the target object as company a as an example, the plurality of pieces of person change information associated with company a are:

1. [ 12/08/2015, change of directors, < wang-one (french), zhao-two (director), zhang-three (proctor) >, < wang-one (french), zhao-two (director), zhang-three (proctor), li-four (director) >;

2. [ 09 month 02 in 2016, change of proctor, < wang one (legal), zhao two (director), zhang three (director), li four (director) >, < wang one (legal), zhao two (director), liu five (director), li four (director) > ];

3. [ 25/05/2017, < wang one (legal), two (directors), liu five (prisoner), li four (directors) >, < wang one (legal), two (directors), liu five (prisoner), li four (directors), six (prisoner) > ];

4. (25/05/2017, change in board of chinese, < wang one (french), zhao two (chinese), liu wu (proctor), li four (chinese) >, < wang one (french), zhao two (chinese), liu wu (proctor), li four (chinese), tian qi (chinese) >;

5. [ 21/07/20121 days, change in directors, < wang one (legal), two (director), liu five (prison), li four (director), su six (prison), tian seven (director) >, < wang one (legal), two (director), liu five (prison), li four (director), su six (prison), and hu eight (director) >).

In a specific process of acquiring the personnel change information, firstly, searching is performed in the data source based on the identification information of the target object to acquire the change record and the illumination information associated with the target object, and then the change record and the illumination information are analyzed to acquire a plurality of pieces of personnel change information associated with the target object.

Generally, when a requester (e.g., a user or a mobile terminal of the user) needs to perform information mining on a person transition history of a target object, an information mining request is generated and sent to a processor (e.g., a processing interface of a server) of the information mining. The information mining request may include: identification information of the target object. When the processor receives an information mining request aiming at the target object from the requester, the processor analyzes the information mining request to acquire the identification information of the target object.

In order to be able to comprehensively acquire information associated with the target object, a search is performed within the data source based on the identification information of the target object to acquire change records and lighting information associated with the target object. Wherein, the change record is a data form of the related department (such as market supervision and management bureau) recording the change of the important personnel of the company, and the attendance information is another data form of the related department (such as the business bureau) recording the change of the important personnel of the company. The change record is company change information externally disclosed by related departments, and the company change information comprises personnel change information, business scope change information, investor change information and the like. The scene information is data information displayed by the scene of the company, the industry and the commerce, and the scene of the company, the industry and the commerce displays corresponding change time and change content each time the change occurs. The attendance information also includes personnel change information, business range change information, investor change information, and the like.

Further, since the change log and the illumination information include change information of various change types, it is necessary to analyze the change log and the illumination information, extract only person change information related to a person change from the change log and the illumination information, and acquire a plurality of pieces of person change information associated with the target object. By the method, the accuracy and the integrity of the acquired personnel change information associated with the target object are ensured.

Preferably, the analyzing the change record and the lighting information to obtain a plurality of pieces of personnel change information associated with the target object includes: extracting a plurality of pieces of target information of which the change types belong to personnel change types from the change records and the lighting information; according to the change time and the change content in each piece of target information, carrying out duplicate removal processing on the plurality of pieces of target information; determining the plurality of pieces of target information subjected to the past re-processing as a plurality of pieces of person change information associated with the target object.

The change type corresponding to the target object includes, for example: personnel change type, business scope change type, business term change type, and registered capital change type. In the process of mining the personnel transition history of the target object, since the change information corresponding to the change types other than the personnel change type is useless information, it is necessary to extract a plurality of pieces of target information whose change type belongs to the personnel change type from the change log and the attendance information.

Generally, for the same personnel change item, after personnel change is recorded in the related department, the corresponding personnel change information may be published to the outside only through the data form of the change record, may be displayed to the outside only through the data form of the photo information, or may be published to the outside through both the data form of the change record and the photo information. Thus, there may be duplicate information in the pieces of target information extracted from the change log and the lighting information. Accordingly, it is necessary to perform deduplication processing on the acquired pieces of object information according to change time and change content in each piece of object information, and then determine the pieces of object information subjected to deduplication processing as pieces of person change information associated with the object. By the method, redundant or invalid data can be effectively filtered.

Preferably, the performing, according to the change time and the change content in each piece of target information, a deduplication process on the pieces of target information includes: judging whether the change contents corresponding to any two adjacent change times are consistent; and when the change contents corresponding to any two adjacent change times are consistent, deleting a corresponding piece of target information from the plurality of pieces of target information according to a preset first deletion rule.

In an embodiment of the present invention, the plurality of pieces of target information are, for example, but not limited to:

target information 1: [ 12/08/2015, change of directors, < wang-one (french), zhao-two (director), zhang-three (proctor) >, < wang-one (french), zhao-two (director), zhang-three (proctor), li-four (director) >;

target information 2: [ 12 months and 12 days 2015, change of directors, < wang one (legal), zhao two (director), zhang three (proctor) >, < wang one (legal), zhao two (director), zhang three (proctor), li four (director) >;

target information 3: [ 09 month 02 in 2016, change of proctor, < wang one (legal), zhao two (director), zhang three (director), li four (director) >, < wang one (legal), zhao two (director), liu five (director), li four (director) > ];

target information 4: [ 25/05/2017, < wang one (legal), two (directors), liu five (prisoner), li four (directors) >, < wang one (legal), two (directors), liu five (prisoner), li four (directors), six (prisoner) > ];

target information 5: (25/05/2017, change in board of chinese, < wang one (french), zhao two (chinese), liu wu (proctor), li four (chinese) >, < wang one (french), zhao two (chinese), liu wu (proctor), li four (chinese), tian qi (chinese) >;

target information 6: (21/07/20121 days, change in board, < wang one (legal), two (boards), liu five (prison), li four (board), six (prison), tian seven (board) >, < wang one (legal), two (boards), liu five (prison), li four (board), six (prison), eight (board) >;

target information 7: [ year 07, month 23 in 2018, change in board, < pseudo-ginseng (board of board;

target information 8: [ 08/01 th 2018, change in board of director, < mao (legal person), zhao di (board of director), liu wu (supervisor), li quan (board of director), su liu (supervisor), tian qi (board of director) >, < mao (legal person), zhao di (board of director), liu wu (supervisor), li quan (board of director), su liu six (supervisor), and hu ba (board of director) >).

In the embodiment of the present invention, it is necessary to determine whether the change contents corresponding to any two adjacent change times are consistent. For example, based on the 8-entry tag information, it is necessary to determine whether or not two pieces of modified content corresponding to the target information 1 and 2 match, determine whether or not two pieces of modified content corresponding to the target information 2 and 3 match, and so on until the matching of the modified content corresponding to any two adjacent pieces of modified time in the 8-entry tag information is determined. It is determined that the changed contents of the target information 1 and the changed contents of the target information 2 coincide.

And when the change contents corresponding to any two adjacent change times are consistent, deleting a corresponding piece of target information from the plurality of pieces of target information according to a preset first deletion rule. It should be appreciated that the processor may preset the first deletion rule. For example, the preset first deletion rule may be configured to delete, when the change contents corresponding to any two adjacent change times match, the target information whose change time is earlier than the change time from among the two pieces of target information corresponding to the two change times. The preset first deletion rule may be configured to delete target information having a later change time from two pieces of target information corresponding to two adjacent change times when the change contents corresponding to the two change times match. The preset first deletion rule may be such that, when the modified contents corresponding to any two adjacent modification times match, one of the two pieces of target information corresponding to the two modification times is randomized.

The processing side may set the first deletion rule in association with data in which data format the target information is from. The set first deletion rule is as follows: when the change contents corresponding to any two adjacent change times are consistent and the two pieces of target information corresponding to the two change times are from the same data (such as change records), deleting the target information with the later change time; when the change contents corresponding to any two adjacent change times are consistent and the two pieces of target information corresponding to the two change times are from different data (for example, one piece of target information is from the change record and the other piece of target information is from the photo information), the target information from the photo information is deleted.

For example, in the 8-entry tag information, the object information 1, 3, 4, and 5 are data whose change type extracted from the change log belongs to a personnel change type, and the object information 2, 6, 7, and 8 are data whose change type extracted from the care information belongs to a personnel change type. It is confirmed that the changed contents of the object information 1 and the changed contents of the object information 2 are identical and the object information 1 and the object information 2 are from different data, and the object information 2 needs to be deleted.

Preferably, the changed contents corresponding to any continuous three changing times are a first changed content, a second changed content and a third changed content; the performing deduplication processing on the plurality of pieces of target information according to the change time and the change content in each piece of target information includes: judging whether the second changed content is a partial content of the first changed content, and judging whether the third changed content is consistent with the first changed content; and when the second changed content is a partial content of the first changed content and the third changed content is consistent with the first changed content, deleting two corresponding pieces of target information from the plurality of pieces of target information according to a preset second deletion rule.

However, based on the 8-entry label information, it is necessary to determine the change contents corresponding to any three consecutive change times. Taking the target information 6, 7 and 8 as an example, the change times of the three target information are continuous, the first change content is the change content of the target information 6, the second change content is the change content of the target information 7, and the third change content is the change content of the target information 8. And determining whether the second changed content is a partial content of the first changed content, and determining whether the third changed content and the first changed content are consistent. It may be determined that the second changed content is a partial content of the first changed content, and the third changed content is identical to the first changed content. Accordingly, two pieces of corresponding target information need to be deleted from the plurality of pieces of target information according to a preset second deletion rule.

It should be understood, however, that the second deletion rule may be preset by the processing party. For example, the preset second deletion rule may be: when the second changed content is a partial content of the first changed content and the third changed content matches the first changed content, two pieces of object information whose change time is later are deleted from the three pieces of object information. In the above example, according to the second deletion rule, the target information 7 and 8 needs to be deleted from the target information 6, 7 and 8.

Preferably, the performing, according to the change time and the change content in each piece of target information, a deduplication process on the pieces of target information includes: determining the variation of the changed content corresponding to any two adjacent changed times; and when the variation is larger than the variation threshold, deleting a corresponding piece of target information from the plurality of pieces of target information according to a preset third deletion rule.

In the embodiment of the present invention, it is first required to determine a variation of the modified content corresponding to any two adjacent modification times, and when the variation is greater than a variation threshold, a corresponding piece of target information is deleted from the plurality of pieces of target information according to a preset third deletion rule. It should be appreciated that the processor may set the change threshold and the third deletion rule in advance. Wherein the variation threshold is, for example, but not limited to, 85%. The third deletion rule is: and when the variation is larger than the variation threshold, deleting the target data with the later change time from the two target data.

Preferably, the performing deduplication processing on the plurality of pieces of target information according to change time and change content in each piece of target information further includes: determining the time difference value of any two adjacent different change times; and when the time difference is smaller than a time threshold, deleting a corresponding piece of target information from the plurality of pieces of target information according to a preset fourth deletion rule.

In the embodiment of the invention, the time difference value of any two adjacent different change times is determined, and when the time difference value is smaller than the time threshold, a corresponding piece of target information is deleted from the plurality of pieces of target information according to a preset fourth deletion rule. It should be appreciated that the processor may preset the time threshold and the fourth deletion rule. The time threshold may be in units of days, hours, and the like. The time threshold may be any reasonable value, for example, the time threshold is 3 days. The preset fourth deletion rule is as follows: and when the time difference value of any two adjacent change times is smaller than the time threshold, deleting the target data with the later change time from the two target data.

Based on the 8 items of label information, after the duplication removal is performed through the first deletion rule, the second deletion rule and the third deletion rule, the target information 1, 3, 4, 5 and 6 are left. The time difference of any adjacent two different change times of the target information 1, 3, 4, 5, and 6, that is, the time difference of the change times of the target information 1 and 3, the time difference of the change times of the target information 4 and 5, and the time difference of the change times of the target information 5 and 6 are determined. It can be determined that the time difference between any two adjacent different change times in the 5 pieces of entry information is not less than the time threshold, and all the change times are reserved. Thus, the retained target information 1, 3, 4, 5, and 6 are determined as the person change information associated with the target object.

The invention can effectively filter redundant or invalid data by the information duplication removal. By the method, the mining efficiency of the personnel transition process can be improved.

And step 102, determining a plurality of time nodes according to the change time, and processing the personnel change information at the same time node according to the change information items to determine the personnel job information at each time node.

In general, staff change information is a main data form in which relevant departments (e.g., market supervisors) record changes of important staff, business conditions, and the like of a company, and is divided into information content before the change and information content after the change. Ideally, the personnel change information should be "continuous" (i.e., the information content after the last change should be the information content before the current change), and each personnel change of the company is recorded. However, change records are sometimes not particularly "perfect" or "complete" for various reasons. This is also the main technical problem to be solved by the present invention, namely how to derive a "continuous" timeline by reasonable strategy.

Therefore, the present invention needs to determine a plurality of time nodes on a timeline, and specifically includes: grouping the plurality of pieces of personnel change information according to the change time to obtain a plurality of groups of personnel change information, wherein each group of personnel change information has the same change time and comprises at least one piece of personnel change information; and determining the change time corresponding to each group of personnel change information as a time node, thereby determining a plurality of time nodes.

Considering that the change items include legal changes and high-management changes, the high-management changes may have different categories, such as: board changes, proctor changes, manager changes, etc. Each high-management change requires one piece of personnel change information to record, so there may be multiple pieces of personnel change information on the same day. Therefore, it is necessary to group the plurality of pieces of person change information according to the change time to acquire a plurality of sets of person change information. For example, when the 5 pieces of person change information of company a are acquired, the change time in each piece of person change information is determined. Subsequently, 5 pieces of person change information are classified into four groups of person change information according to change time, for example, a first group of <2015 year 12 month 08 date, 1, a second group of <2016 year 09 month 02 date, 1, a third group of <2017 year 05 month 25 date, 2 > and a fourth group of <2018 year 07 month 21 date, 1.

And determining the change time corresponding to each group of personnel change information as a time node, thereby determining a plurality of time nodes. Then, the time node of company a includes: 12/08/2015 (first time node), 2016/09/02/2016 (second time node), 05/2017/25/2017 (third time node), and 07/21/2018 (fourth time node).

According to the invention, by determining a plurality of time nodes of the personnel change information associated with the target object, information mining can be more clearly and completely carried out according to the node mode of the time line.

Preferably, the processing the change information of the personnel at the same time node according to the change information item to determine the staff member information at each time node includes: and when the current time node only has a single piece of personnel change information, determining personnel job information at the current time node according to change information items in the personnel change information at the current time node.

Preferably, the processing the change information of the personnel at the same time node according to the change information item to determine the job information of the personnel at each time node further includes: when the current time node has a plurality of pieces of personnel change information, information fusion is carried out according to the change information items and the change types of the plurality of pieces of personnel change information so as to obtain single piece of personnel change information subjected to information fusion; and determining the staff occupational information at the current time node according to the change information items in the single staff change information subjected to information fusion.

In the embodiment of the invention, each time node in the plurality of time nodes is sequentially selected as the current time node according to the time sequence. The time sequence includes from the past to the present and from the present to the past, and in the present invention, the time sequence is explained by way of example from the past to the present. As described above, the first time node, the second time node, the third time node, and the fourth time node are sequentially selected as the current time node in time order.

When the first time node is selected as the current time node and the current time node only has a single piece of personnel change information, the personnel job information at the current time node needs to be determined according to change information items in the personnel change information at the current time node. Wherein, personnel's information of duties includes: name information, job information, and job status of the person involved at the current time node. The job status is used to indicate whether the person is in job.

As described above, the change time in the person change information at the first time node is 2015, 12 months and 08 days, and the corresponding change information items are: change of board of directors, < wang one (french), zhao two (board of directors), zhang three (prisoner) >, < wang one (french), zhao two (board of directors), zhang three (prisoner), li four (board of directors) >. Then, according to the change information item in the person change information at the first time node, it may be determined that the person job information at the first time node is: < wang one, french man, on-duty >, < zhao two, director, on-duty >, < zhang three, proctor, on-duty >, < li four, director, on-duty >.

When the second time node is selected as the current time node and the current time node only has a single piece of personnel change information, the personnel job information at the current time node needs to be determined according to change information items in the personnel change information at the current time node. As described above, the change time in the person change information at the second time node is 2016, 09, month and 02, and the corresponding change information items are: prisoner change, < wang one (french), zhao two (board), zhang three (prisoner), li four (board), < wang one (french), zhao two (board), liu five (prisoner), li four (board) >. Then, according to the change information item in the person change information at the second time node, it may be determined that the person job information at the second time node is: < wang one, french man, on-duty >, < zhao two, dong, on-duty >, < zhang three, proctor, off-duty >, < li four, dong, on-duty >, < liu five, proctor, on-duty >.

When the third time node is selected as the current time node and 2 pieces of personnel change information are available at the current time node, information fusion needs to be performed according to the change information items and the change types of the plurality of pieces of personnel change information to obtain single piece of personnel change information subjected to information fusion, and then the personnel job-holding information at the current time node is determined according to the change information items in the single piece of personnel change information subjected to information fusion. As described above, the change time in the person change information at the third time node is 2016, 09, month and 02, and the corresponding change information item includes:

1. prisoner change, < wang one (french), zhao two (board of directors), liu five (prisoner), lie four (board of directors), and mushroom six (prisoner) >;

2. change of board of south china, < wang one (french), zhao two (board), liu five (prison), lie four (board), pseudo-ginseng (board) >.

Then the two change information items may be information fused, thus becoming: prison and board change, < wang one (french), two (board) s on Zhao, liu five (prison), lie four (board) >, < wang one (french), two (board) s on Zhao, liu five (prison), lie four (board), six (prison) s on Taiwan, pseudo-ginseng (board) >.

According to the change information item in the staff change information at the third time node, it can be determined that the staff occupation information at the third time node is: first of king, french man, on duty >, < zhao, two of mao, on duty >, < li four, on duty, < liu five, proctor, on duty >, < six of mao, proctor, on duty >, < pseudo-ginseng, on duty.

When the fourth time node is selected as the current time node and the current time node has only a single piece of personnel change information, the personnel job information at the current time node needs to be determined according to change information items in the personnel change information at the current time node. As described above, the change time in the person change information at the fourth time node is 2018, 07, 21, and the corresponding change information items are: < wang one (court), two (director of Zhao), five (director of Liu), four (director of Li), six (director of Li), pseudo-ginseng (director of Li), < wang one (court), two (director of Li), five (director of Liu), four (director of Li), six (director of Li), eight (director of Li). Then, according to the change information item in the person change information at the fourth time node, it may be determined that the person job information at the fourth time node is: < WangYi, French, on-duty >, < Zhao two, Dong, on-duty >, < Li four, Dong, on-duty >, < Liu five, proctor, on-duty >, < Zu six, proctor, on-duty >, < Tianqi, proctor, off-duty >, < Hu eight, Dong, on-duty >.

According to the invention, through the information processing, the staff job information at each time node can be accurately determined, and the accuracy of mining the staff transition course can be improved through the method.

And 103, determining a personnel transition process corresponding to the target object according to the plurality of time nodes and the personnel job information at each time node.

Preferably, the determining the person transition history corresponding to the target object according to the plurality of time nodes and the person job information at each time node includes: carrying out consistency adjustment on the staffing information at each time node; and determining the personnel transition process corresponding to the target object according to the plurality of time nodes and the consistence adjusted personnel job information at each time node.

Preferably, wherein said making consistent adjustments to staff occupational information at each time node comprises: extracting personnel name information in the personnel job information at each time node to obtain a personnel name set; judging whether any two person name information in the person name set are consistent; when any two person name information in the person name set are inconsistent, carrying out format conversion on the two person name information according to a preset conversion rule; and when the two person name information after format conversion are consistent, performing text consistency adjustment on the two person name information according to a preset adjustment rule.

Preferably, the determining the person transition history corresponding to the target object according to the plurality of time nodes and the information of the role of the person at each time node after the consistency adjustment comprises: determining the information of the personnel who are present and the information of the personnel who are not present at each time node according to the consistence adjusted information of the personnel who are present at all the time nodes in the plurality of time nodes; according to the information of the personnel who are present and the information of the personnel who are not present at each time node and the corresponding previous time node, determining labeling information corresponding to the job-holding states of all the personnel involved at each time node; and determining the personnel transition process corresponding to the target object based on the information of the personnel who are present at each time node, the information of the personnel who are not present and the labeled information.

Generally, the personnel transition history corresponding to the target object needs to reflect the main personnel and position changes of the target object that are all available until now. Therefore, the invention serially connects a complete time line according to the sequence of the time nodes, and determines the personnel transition process corresponding to the target object by combining the personnel job information at each time node.

Since the change log and the interview information are manually entered, for Chinese names, there are many homophones in them, resulting in the possibility that the same person may display multiple names (e.g., Yi Yuan Peak and Yi Yuan Feng). In addition, for english names, there is a case division, so that the same person may display different name information (e.g., Alen and Alen). Therefore, the invention needs to perform consistency adjustment on the staff occupation information at each time node, and then determines the staff migration process corresponding to the target object according to the plurality of time nodes and the staff occupation information subjected to consistency adjustment at each time node.

Firstly, the name information of the personnel in the information of the staff at each time node needs to be extracted to obtain a personnel name set, and then whether any two pieces of name information of the personnel in the personnel name set are consistent or not is judged. And when any two pieces of personnel name information in the personnel name set are inconsistent, carrying out format conversion on the two pieces of personnel name information according to a preset conversion rule. And when the two person name information after format conversion are consistent, performing text consistency adjustment on the two person name information according to a preset adjustment rule.

In the embodiment of the present invention, the preset conversion rule may be: when the person's surname is Chinese, it is converted into phonetic alphabet, and when the person's surname is English, it is converted into lowercase. The preset adjustment rule may be: and if the person name information comes from different data, the person name information in the change record is preferentially selected, and if the person name information comes from the same data, the person name information which appears first or has the highest appearance frequency is preferentially selected. For example, if the "easy Yuan Peak" is from the change record and the "easy Yuan Feng" is from the illumination information, the name information of the "easy Yuan Peak" is preferably obtained. Another example is: the "Yi Yuan Peak" and the "Yi Yuan Feng" are both from the change record, and the name information of the "Yi Yuan Peak" is preferentially taken when the "Yi Yuan Peak" appears first. Another example is: the "Yi Yuan Feng" and "Yi Yuan Feng" are both from the change record, and the "Yi Yuan Feng" has the highest frequency of occurrence, and the name information of "Yi Yuan Feng" is preferably selected. In this way, the staff due information at each time node can be effectively and consistently adjusted.

After the consistency adjustment is performed on the staff occupation information at each time node, the staff occupation information and the staff non-occupation information at each time node are determined according to the consistency adjusted staff occupation information at all the time nodes in the plurality of time nodes. For example, continuing with the above example, the corresponding consensus adjusted staff due information at the four time nodes of company a includes:

a first time node: < wang one, french person, on-duty >, < zhao two, director, on-duty >, < zhang three, proctor, on-duty >, < li four, director, on-duty >;

the second time node: < wang one, french man, on-duty >, < zhao two, dong, on-duty >, < zhang three, proctor, off-duty >, < li four, dong, on-duty >, < liu five, proctor, on-duty >;

a third time node: < wang one, french person, on-duty >, < zhao two, director, on-duty >, < li four, director, on-duty >, < liu five, prisoner, on-duty >, < star six, prisoner, on-duty >, < pseudo-ginseng, director, on-duty >;

the fourth time node: < WangYi, French, on-duty >, < Zhao two, Dong, on-duty >, < Li four, Dong, on-duty >, < Liu five, proctor, on-duty >, < Zu six, proctor, on-duty >, < Tianqi, proctor, off-duty >, < Hu eight, Dong, on-duty >.

Then, the on-duty staff information at the first time node is: < wang one, french person >, < zhao two, board >, < zhang three, proctor >, < li four, board >, the information of the staff not present is null; the staff-in-time information at the second time node is: < wang one, french >, < zhao two, board >, < lie four, board >, < liu five, prison >, the information of the people who are not present is: < Zhang III, prison >; the staff-under-work information at the third time node is: < wang one, french >, < zhao two, director >, < lie four, director >, < liu five, prisoner >, < su six, prisoner >, < pseudo-ginseng, director >, and the information of the staff absent is: < Zhang III, prison >; the staff-under-work information at the third time node is: < wang one, french >, < zhao two, director >, < lie four, director >, < liu five, prisoner >, < su six, prisoner >, < woba, director >, the absence staff information is: < Zhang three, prison >, < Tianqi, prison >.

Further, according to each time node and the corresponding information of the staff members who are present and the staff members who are not present at the last time node, the labeling information corresponding to the job-holding states of all the staff members involved at each time node is determined. The label information corresponding to the incumbent state is, for example, new and quit. And if the person is in the new job state relative to the last time node, marking the person as new, if the person is in the quit state relative to the last time node, marking the person as new, and if the job state of the person relative to the last time node is not changed, adding marking information.

Based on the information of the staff members who are present and the information of the staff members who are not present at each time node, it can be determined that only "lie four" is a newly added person among all the persons involved at the first time node, so that the label information set for "lie four" is "newly added", and other persons do not need to add label information. The third Zhang of all the people involved at the second time node is the quitting person, and the fifth Liu is the newly added person, so that the labeling information set for the third Zhang is the quitting person, the labeling information set for the fifth Liu is the newly added person, and other people do not need to add the labeling information. The "six-drop" and "pseudo-seven" of all the people involved at the third time node are newly added people, so that the annotation information set for the "six-drop" and the "pseudo-seven" is "newly added", and other people do not need to add annotation information. The pseudo-ginseng is an exited person and the huba is an added person among all persons related to the third time node, so that the labeled information set for the pseudo-ginseng is the exited person, the labeled information set for the huba is the added person, and other persons do not need to add labeled information. Based on the information of the staff at each time node, the information of the staff who is not at the time node and the labeling information, the staff transition course corresponding to the target object can be determined.

Preferably, wherein the method further comprises: and displaying the personnel transition process according to a preset display rule.

The preset display rule is, for example: the personnel transition process is displayed from the past to the present according to the sequence of the change time, or the personnel transition process is displayed from the present to the past according to the sequence of the change time, the name of the personnel is displayed at each time node, the corresponding position information is displayed at the lower right corner of the name of the personnel, and the corresponding label information is displayed behind the position information for the personnel provided with the label information. Therefore, the personnel transition history is displayed according to a preset display rule, and a viewer can obtain the display page shown in fig. 2. Based on the display page, the viewer can know the staff transition course (including all the main staff who are available for the job and the job change thereof) of the target object, and can also know the job change condition of a single staff (for example, the time of joining the company, the time of exiting the company, the time of being available for the company and the like) through the marking information.

Preferably, wherein the method further comprises: rendering the information of the personnel who are present, the information of the personnel who are not present and the marking information in the personnel transition process according to a preset rendering rule; and displaying the rendered personnel transition history according to a preset display rule.

The preset rendering rule is, for example: and performing light color rendering on the on-duty personnel at the current time node, performing dark color rendering on the off-duty personnel at the current time node, and performing rendering by adopting different colors on the two pieces of marking information, namely 'adding' and 'exiting'. And after the rendering processing is carried out according to a preset rendering rule, displaying the personnel transition history subjected to the rendering processing according to the preset display rule.

Preferably, wherein the method further comprises: and when the person name information in the person transition process is clicked, displaying a detail information page of the person corresponding to the person name information.

In the embodiment of the invention, the information displayed on the detail information page comprises the following information: profile information of people, risk information of people, partners, job information, past job information, actual control, belonging group/group, history information, honor information, news public opinion, etc. Through the mode, the viewer can view the detailed information of a certain person by clicking the name information of the person, and the viewer can be helped to further know the person quickly and conveniently through the detailed information.

Therefore, the mining method for the personnel transition histories provided by the invention is used for mining the main personnel and the position information of the target object at each time node from the plurality of pieces of personnel change information associated with the target object from the perspective of the target object (such as a company or an enterprise), and serially connecting the personnel transition histories of the target object according to the sequence of change time, so that the main personnel and the position changes of all the functions of the target object which is established up to now can be displayed through the personnel transition histories. Moreover, starting from a plurality of authoritative data sources, personnel change information of the plurality of data sources is integrated, so that the final mining result is more persuasive. And (4) aiming at the judgment of multiple positions of personnel, deducing and fusing according to the change information items, so that each personnel has complete position information. In terms of data presentation, all persons involved at a time node and their corresponding job changes can be grasped by the time node. In addition, by setting the marking information of 'adding' and 'exiting', the entering and exiting time of the personnel can be obviously displayed. Therefore, convenience is provided for a user to know the personnel transition process and the specific change time point of the target object, the background and the development history of the company can be quickly and conveniently known through the method, and the user is helped to better analyze the information such as the strength, the risk and the like of the company.

Exemplary devices

Fig. 3 is a schematic structural diagram of an excavating device for a personnel transition process according to an exemplary embodiment of the present invention. As shown in fig. 3, the excavating device 300 for a person transition history includes: a person change information acquisition unit 310 configured to acquire a plurality of pieces of person change information associated with the target object, wherein each piece of person change information includes: change time and change information item; the staff due information determining unit 320 is configured to determine a plurality of time nodes according to the change time, and process staff change information at the same time node according to the change information items to determine staff due information at each time node; a personnel transition history determining unit 330, configured to determine a personnel transition history corresponding to the target object according to the plurality of time nodes and the personnel job information at each time node.

Preferably, the personnel change information acquiring unit 310 is specifically configured to: searching in a data source based on the identification information of the target object to acquire change records and illumination information associated with the target object; and analyzing the change records and the illumination information to acquire a plurality of pieces of personnel change information associated with the target object.

Preferably, the personnel change information acquisition unit 310 is further specifically configured to: extracting a plurality of pieces of target information of which the change types belong to personnel change types from the change records and the lighting information; according to the change time and the change content in each piece of target information, carrying out duplicate removal processing on the plurality of pieces of target information; determining the plurality of pieces of target information subjected to the past re-processing as a plurality of pieces of person change information associated with the target object.

Preferably, the personnel change information acquisition unit 310 is further specifically configured to: judging whether the change contents corresponding to any two adjacent change times are consistent; and when the change contents corresponding to any two adjacent change times are consistent, deleting a corresponding piece of target information from the plurality of pieces of target information according to a preset first deletion rule.

Preferably, the changed contents corresponding to any continuous three changing times are a first changed content, a second changed content and a third changed content; the person change information acquisition unit 310 is further specifically configured to: judging whether the second changed content is a partial content of the first changed content, and judging whether the third changed content is consistent with the first changed content; and when the second changed content is a partial content of the first changed content and the third changed content is consistent with the first changed content, deleting two corresponding pieces of target information from the plurality of pieces of target information according to a preset second deletion rule.

Preferably, the personnel change information acquisition unit 310 is further specifically configured to: determining the variation of the changed content corresponding to any two adjacent changed times; and when the variation is larger than the variation threshold, deleting a corresponding piece of target information from the plurality of pieces of target information according to a preset third deletion rule.

Preferably, the personnel change information acquisition unit 310 is further specifically configured to: determining the time difference value of any two adjacent different change times; and when the time difference is smaller than a time threshold, deleting a corresponding piece of target information from the plurality of pieces of target information according to a preset fourth deletion rule.

Preferably, the staff member information determining unit 320 is specifically configured to: grouping the plurality of pieces of personnel change information according to the change time to obtain a plurality of groups of personnel change information, wherein each group of personnel change information has the same change time and comprises at least one piece of personnel change information; and determining the change time corresponding to each group of personnel change information as a time node, thereby determining a plurality of time nodes.

Preferably, the staff member information determination unit 320 is further specifically configured to: sequentially selecting each time node in the plurality of time nodes as a current time node according to the time sequence: and when the current time node only has a single piece of personnel change information, determining the personnel job information at the current time node according to change information items in the personnel change information at the current time node.

Preferably, the person transition history determining unit 330 is specifically configured to: when the current time node has a plurality of pieces of personnel change information, information fusion is carried out according to the change information items and the change types of the plurality of pieces of personnel change information so as to obtain single piece of personnel change information subjected to information fusion; and determining the staff occupational information at the current time node according to the change information items in the single staff change information subjected to information fusion.

Preferably, the person transition history determining unit 330 is further specifically configured to: carrying out consistency adjustment on the staffing information at each time node; and determining the personnel transition process corresponding to the target object according to the plurality of time nodes and the consistence adjusted personnel job information at each time node.

Preferably, the person transition history determining unit 330 is further specifically configured to: extracting personnel name information in the personnel job information at each time node to obtain a personnel name set; judging whether any two person name information in the person name set are consistent; when any two person name information in the person name set are inconsistent, carrying out format conversion on the two person name information according to a preset conversion rule; and when the two person name information after format conversion are consistent, performing text consistency adjustment on the two person name information according to a preset adjustment rule.

Preferably, the person transition history determining unit 330 is further specifically configured to: determining the information of the personnel who are present and the information of the personnel who are not present at each time node according to the consistence adjusted information of the personnel who are present at all the time nodes in the plurality of time nodes; according to the information of the personnel who are present and the information of the personnel who are not present at each time node and the corresponding previous time node, determining labeling information corresponding to the job-holding states of all the personnel involved at each time node; and determining the personnel transition process corresponding to the target object based on the information of the personnel who are present at each time node, the information of the personnel who are not present and the labeled information.

Preferably, the excavating device 300 for the personnel transition history further comprises: and the first display unit is used for displaying the personnel transition process according to a preset display rule.

Preferably, the excavating device 300 for the personnel transition history further comprises: the rendering unit is used for rendering the information of the personnel who are in the staff transition process, the information of the personnel who are not in the staff and the marking information according to a preset rendering rule; and the second display unit is used for displaying the rendered personnel transition process according to a preset display rule.

Preferably, the excavating device 300 for the personnel transition history further comprises: and the detail information page display unit is used for displaying the detail information page of the personnel corresponding to the personnel name information when the personnel name information in the personnel transition process is clicked.

The mining apparatus 300 for a person transition history according to an embodiment of the present invention corresponds to the mining method 100 for a person transition history according to another embodiment of the present invention, and is not described herein again.

Exemplary electronic device

Fig. 4 is a structure of an electronic device according to an exemplary embodiment of the present invention. The electronic device may be either or both of the first device and the second device, or a stand-alone device separate from them, which stand-alone device may communicate with the first device and the second device to receive the acquired input signals therefrom. FIG. 4 illustrates a block diagram of an electronic device in accordance with an embodiment of the disclosure. As shown in fig. 4, the electronic device includes one or more processors 41 and memory 42.

The processor 41 may be a Central Processing Unit (CPU) or other form of processing unit having data processing capabilities and/or instruction execution capabilities, and may control other components in the electronic device to perform desired functions.

Memory 42 may include one or more computer program products that may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include, for example, Random Access Memory (RAM), cache memory (cache), and/or the like. The non-volatile memory may include, for example, Read Only Memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium and executed by processor 41 to implement the mining methods of the human transition histories and/or other desired functions of the various embodiments of the present disclosure described above. In one example, the electronic device may further include: an input device 43 and an output device 44, which are interconnected by a bus system and/or other form of connection mechanism (not shown).

The input device 43 may also include, for example, a keyboard, a mouse, and the like.

The output device 44 can output various kinds of information to the outside. The output devices 44 may include, for example, a display, speakers, a printer, and a communication network and remote output devices connected thereto, among others.

Of course, for simplicity, only some of the components of the electronic device relevant to the present disclosure are shown in fig. 4, omitting components such as buses, input/output interfaces, and the like. In addition, the electronic device may include any other suitable components, depending on the particular application.

Exemplary computer program product and computer-readable storage Medium

In addition to the above-described methods and apparatus, embodiments of the present disclosure may also be a computer program product comprising computer program instructions that, when executed by a processor, cause the processor to perform the steps in the mining method of person transition histories according to the various embodiments of the present disclosure described in the "exemplary methods" section above of this specification.

The computer program product may write program code for carrying out operations for embodiments of the present disclosure in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server.

Furthermore, embodiments of the present disclosure may also be a computer-readable storage medium having stored thereon computer program instructions that, when executed by a processor, cause the processor to perform steps in a mining method of a person transition history according to various embodiments of the present disclosure described in the "exemplary methods" section above in this specification.

The computer-readable storage medium may take any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may include, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

The foregoing describes the general principles of the present disclosure in conjunction with specific embodiments, however, it is noted that the advantages, effects, etc. mentioned in the present disclosure are merely examples and are not limiting, and they should not be considered essential to the various embodiments of the present disclosure. Furthermore, the foregoing disclosure of specific details is for the purpose of illustration and description and is not intended to be limiting, since the disclosure is not intended to be limited to the specific details so described.

In the present specification, the embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts in the embodiments are referred to each other. For the system embodiment, since it basically corresponds to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.

The block diagrams of devices, apparatuses, systems referred to in this disclosure are only given as illustrative examples and are not intended to require or imply that the connections, arrangements, configurations, etc. must be made in the manner shown in the block diagrams. These devices, apparatuses, devices, systems may be connected, arranged, configured in any manner, as will be appreciated by those skilled in the art. Words such as "including," "comprising," "having," and the like are open-ended words that mean "including, but not limited to," and are used interchangeably therewith. The words "or" and "as used herein mean, and are used interchangeably with, the word" and/or, "unless the context clearly dictates otherwise. The word "such as" is used herein to mean, and is used interchangeably with, the phrase "such as but not limited to".

The methods and apparatus of the present disclosure may be implemented in a number of ways. For example, the methods and apparatus of the present disclosure may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above-described order for the steps of the method is for illustration only, and the steps of the method of the present disclosure are not limited to the order specifically described above unless specifically stated otherwise. Further, in some embodiments, the present disclosure may also be embodied as programs recorded in a recording medium, the programs including machine-readable instructions for implementing the methods according to the present disclosure. Thus, the present disclosure also covers a recording medium storing a program for executing the method according to the present disclosure.

It is also noted that in the devices, apparatuses, and methods of the present disclosure, each component or step can be decomposed and/or recombined. These decompositions and/or recombinations are to be considered equivalents of the present disclosure. The previous description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present disclosure. Various modifications to these aspects will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other aspects without departing from the scope of the disclosure. Thus, the present disclosure is not intended to be limited to the aspects shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

The foregoing description has been presented for purposes of illustration and description. Furthermore, this description is not intended to limit embodiments of the disclosure to the form disclosed herein. While a number of example aspects and embodiments have been discussed above, those of skill in the art will recognize certain variations, modifications, alterations, additions and sub-combinations thereof.

Claims

1. A method for mining a personnel transition process is characterized by comprising the following steps:

2. The method of claim 1, wherein obtaining the plurality of pieces of personnel change information associated with the target object comprises:

3. The method of claim 2, wherein analyzing the change log and the lighting information to obtain a plurality of pieces of personnel change information associated with the target object comprises:

4. The method according to claim 3, wherein the performing the deduplication processing on the pieces of target information according to the change time and the change content in each piece of target information includes:

5. The method of claim 3,

changing contents corresponding to any continuous three changing times are a first changing content, a second changing content and a third changing content;

6. The method according to claim 3, wherein the performing the deduplication processing on the pieces of target information according to the change time and the change content in each piece of target information includes:

7. The method according to claim 3, wherein the performing the deduplication processing on the pieces of target information according to the change time and the change content in each piece of target information further comprises:

8. The method of claim 1, wherein determining a plurality of time nodes based on the change time comprises:

9. The method of claim 1, wherein processing the staff change information at the same time node according to the change information items to determine staff member information at each time node comprises:

sequentially selecting each time node in the plurality of time nodes as a current time node according to the time sequence;

10. The method of claim 9, wherein processing the staff change information at the same time node according to the change information items to determine staff member information at each time node further comprises:

11. The method of claim 1, wherein determining the person transition history corresponding to the target object based on the plurality of time nodes and the person due information at each time node comprises:

12. The method of claim 11, wherein said making consistent adjustments to staff occupational information at each time node comprises:

13. The method of claim 11, wherein determining the personnel transition history corresponding to the target object based on the plurality of time nodes and the conformably adjusted personnel due information at each time node comprises:

14. The method of claim 1, further comprising:

15. The method of claim 1, further comprising:

16. The method of claim 14 or 15, further comprising:

17. A digging device for personnel transition process is characterized by comprising:

18. An electronic device, characterized in that the electronic device comprises: a processor and a memory; wherein the content of the first and second substances,

the memory to store the processor-executable instructions;

the processor is configured to read the executable instructions from the memory and execute the instructions to implement the method of any one of claims 1-16.

19. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for performing the method of any of the preceding claims 1-16.