CN113434588A - Data mining analysis method and device based on mobile communication ticket - Google Patents
Data mining analysis method and device based on mobile communication ticket Download PDFInfo
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Abstract
The invention belongs to the field of communication ticket data processing, in particular to a data mining analysis method and a device based on a mobile communication ticket, which are used for generating a target number track through ticket template matching and comprise the following steps: setting a ticket core field and a user authority code as a user identity; storing the user authority codes and the ticket file into a one-to-many mapping relation according to the core field and the near word group to form a template knowledge base; carrying out template matching on the target user call bill from the template knowledge base according to the user authority code, and if the template matching fails, correlating and matching the stored template of the template database according to the core field and the similar phrase; and acquiring the call ticket data required to be searched by the target user according to the matching result. The invention matches the ticket template of the corresponding authority for the users such as policemen handling cases and the like by utilizing the template knowledge base, helps the front-line police to quickly find valuable clues by analyzing and processing the data of the computer, improves the case analysis efficiency and reduces the cost.
Description
Technical Field
The invention belongs to the field of communication ticket data processing, and particularly relates to a data mining analysis method and device based on a mobile communication ticket.
Background
Communication information of modern life is developed day by day, mobile phones become essential tools for people's life, and most target people use mobile phones to different degrees in the process of making a plan and making a plan. The analysis aiming at the bill of the target crowd provides powerful data support for investigation and case solving. For example: important information such as common contact persons of a plurality of target persons, conversation tracks of the target persons, residence places and the like is analyzed.
Aiming at the bill analysis, most of the existing analysis means still have the self-carried statistical and analysis functions of excel. The general analytical procedure is: the police calls the suspicious personnel call ticket data (excel form), the call ticket information is often huge in data volume (hundreds of thousands of records) and doped with various useless information, and the number of the opposite party with the largest number of calls can be roughly analyzed through the basic statistical function carried by the excel. Meanwhile, the scheme is high in learning cost, and other deep analysis still cannot be achieved, such as target person trajectory analysis, call rule analysis, data visualization analysis and the like. By using other ticket systems, aiming at different types of tickets, users always have various problems of non-uniform templates, complex analysis operation, higher cost, non-visual analysis results and the like.
Disclosure of Invention
Therefore, the invention provides a mobile communication ticket-based data mining analysis method, which is characterized in that a ticket template with corresponding authority is matched for users handling policemen and the like by utilizing a template knowledge base, so that call data with huge amount, low relevance and invalid data interference can be cleaned, refined and visually analyzed, and a computer data processing and analyzing function is utilized to help a first-line police officer to quickly find valuable clues, improve the case analysis efficiency and reduce the cost.
According to the design scheme provided by the invention, the data mining analysis method based on the mobile communication ticket is used for generating a target number track through ticket template matching and comprises the following contents:
setting a ticket core field and a user authority code as a user identity identifier, wherein the core field at least comprises a number field of both communication sides, a call time field, a call duration field and a calling and called identification field;
storing the user authority codes and the ticket file into a one-to-many mapping relation according to the core field and the near word group to form a template knowledge base;
carrying out template matching on the target user call bill from the template knowledge base according to the user authority code, and if the template matching fails, correlating and matching the stored template of the template database according to the core field and the similar phrase;
and acquiring the call ticket data required to be searched by the target user according to the matching result.
As the data mining analysis method based on the mobile communication ticket, the invention further relates to a case resource table and a user table by utilizing the user authority code, and a case corresponding to the user and a ticket template used for searching corresponding mobile communication data are obtained through the user authority code.
As the data mining analysis method based on the mobile communication ticket, the invention further aims at the correlation matching result, the user modifies and adjusts the template according to the practical application, and stores the template as another new template corresponding to the user authority code in the template knowledge base.
The data mining and analyzing method based on the mobile communication ticket further comprises the steps of generating ticket associated data required by the target user according to a matching result, and acquiring track data used for generating a mobile communication number required by the target user according to the ticket associated data, wherein the track data comprises the mobile communication number, an operator, the longitude and latitude of a base station and the address of the base station.
Further, the present invention provides a data mining analysis device based on mobile communication ticket, which is used for generating target number track through ticket template matching, and comprises: a preprocessing module, a mapping module, a matching module and a searching module, wherein,
the system comprises a preprocessing module, a call center module and a call center module, wherein the preprocessing module is used for setting a ticket core field and a user authority code as a user identity identifier, and the core field at least comprises a number field of both communication sides, a call time field, a call duration field and a calling and called identification field;
the mapping module is used for storing the user authority codes and the ticket files into a one-to-many mapping relation according to the core fields and the similar word groups to form a template knowledge base;
the matching module is used for carrying out template matching on the target user call ticket from the template knowledge base according to the user authority code, and if the template matching fails, the template stored in the template database is matched according to the core field and the similar phrase association;
and the searching module is used for acquiring the call ticket data required to be searched by the target user according to the matching result.
The invention has the beneficial effects that:
the method is automatically identified based on the ticket template knowledge base, saves a large amount of time for users such as case handling personnel, greatly reduces the learning cost, improves the data mining efficiency, and is suitable for different types of tickets; a unified file management platform is convenient to introduce, the problem of unified access of data among nodes is solved, and the ticket data information required by a target user can be conveniently traced by combining a plurality of platforms; the base station data can be introduced, the user call track can be completely calculated by introducing, the user analysis track can be directly and specifically displayed on a map, the information value in the call ticket is fully mined, the movement tracks of target numbers such as target persons and the like can be conveniently and visually known, the detection direction is provided for case handling personnel, and the detection efficiency is improved.
Description of the drawings:
FIG. 1 is a schematic diagram of a data mining analysis process based on a mobile communication ticket in an embodiment;
FIG. 2 is a schematic diagram of a BS distributed architecture in an embodiment;
FIG. 3 is a diagram illustrating corresponding similar phrases in the template mapping in the embodiment;
FIG. 4 is a diagram showing the result of template matching in the embodiment;
FIG. 5 is an exemplary embodiment of a resource table association;
FIG. 6 is a schematic diagram of a file unified management platform in an embodiment.
The specific implementation mode is as follows:
in order to make the objects, technical solutions and advantages of the present invention clearer and more obvious, the present invention is further described in detail below with reference to the accompanying drawings and technical solutions.
Template editing and header selection operations are performed on call bills of different system sources one by one, various call bill templates are manually created, server resource utilization is low, learning cost is high, a user can only inquire base station information singly, the call track of a target person cannot be clearly displayed on a map, and important information such as the residence place and the working place of the owner cannot be deduced. Therefore, in the embodiment of the present invention, referring to fig. 1, a data mining analysis method based on a mobile communication ticket is provided, which is used for generating a target number track through ticket template matching, and includes the following contents:
s101, setting a ticket core field and a user authority code as a user identity, wherein the core field at least comprises a number field of both communication parties, a call time field, a call duration field and a calling and called identification field;
s102, storing the user authority codes and the ticket file into a one-to-many mapping relation according to the core field and the similar word group to form a template knowledge base;
s103, carrying out template matching on the target user call bill from the template knowledge base according to the user authority code, and if the template matching fails, correlating and matching the stored template of the template database according to the core field and the similar phrase;
and S104, acquiring the call ticket data required to be searched by the target user according to the matching result.
Based on the automatic recognition of the bill template knowledge base, a great deal of time is saved for users such as case handling personnel, the learning cost is greatly reduced, the data mining efficiency is improved, and the method is applicable to different types of bills.
The core field of the call list is designed as follows: the number of the party, the number of the opposite party, the call time, the call duration and the marks of the calling party and the called party. That is, each type of call ticket uploaded by the user can meet the analysis requirement as long as the 5 core fields are provided, and the call ticket can be imported normally. Besides the above fields, the ticket table is designed with a user authority code field for recording the attribution (importer) and other unnecessary fields (such as the event place, the attribution of the other party, etc.) of the ticket. And the platform analyzes the header mapping relation selected by the user aiming at each call ticket file imported by the user. For example: the number of the party is the number of the owner, the number of the other party, the call time and the communication time. Referring to fig. 3, the mapping relationship information is stored uniformly, and the relationship is one-to-many to form a template knowledge base.
Referring to fig. 2, with the BS distributed architecture, user access is very simple. The user accesses the system address in the browser. The user request is distributed to the unified authentication server by nginx, and the server judges whether the user bill exists or is legal. If the call ticket exists and is legal, the call ticket analysis subsystem can be accessed, otherwise, the user is required to log in again. And after the authentication is successful, the user request is distributed to different service servers by nginx to carry out the bill analysis operation. All the call ticket files are managed by the file management server, and directory mounting is carried out among the service servers, so that the safety and reliability of data uploading of a user are guaranteed.
As the data mining analysis method based on the mobile communication ticket in the embodiment of the invention, further, the user authority code is associated with the case resource table and the user table, and the case corresponding to the user and the ticket template used for searching the corresponding mobile communication data are obtained through the user authority code.
By importing a corresponding template for each user, storing the template in association with the user authority code, and creating a user template table, as shown in fig. 4, storing the template stored by the user when each user imports the call ticket, when the user imports the same type of call ticket again, the system can find all the templates of the user according to the user authority code, and automatically match the templates. Referring to fig. 5, the user authority codes are bound to the platform main resource tables (such as call tickets, cases, user tables, etc.) to achieve the purpose of logging in, i.e., accessing resources. The advantages of such a design are: even if the same ticket file is used, different users can import the ticket file, and the ticket file do not interfere with each other, so that the safety of personal data is ensured. And the server sends the user authority code and the user resource to the browser. The user resources include: personal interface (associated permissions), personal case data, personal ticket data, etc. For example: when the user selects the bill (single or multiple) analysis, the browser transmits the user authority code and the bill number to the server, and the server can inquire the bill data selected by the user in the bill table according to the number and the authority code. The loading of other resources such as cases and the like is the same as the loading principle of the ticket. The user selects the call ticket and clicks a certain functional module for analysis. The browser sends required parameters (such as call ticket numbers, start and stop time, case numbers and the like) to the server according to analysis model specifications (interface specifications), the server background returns results to a front-end page in a json form through interface logic operation, and the page renders the page according to the json results to display the analysis results for the client.
As the data mining analysis method based on the mobile communication ticket in the embodiment of the invention, further, aiming at the correlation matching result, the user modifies and adjusts the template according to the practical application and stores the template as another new template corresponding to the user authority code in the template knowledge base.
And identifying according to the template saved by the user. If the two templates can be corresponded, namely the associated template is successful, the template can be directly imported. If the association of the template fails, the program automatically performs intelligent association according to the template knowledge base. For example: the original header of the user's call bill is the owner's number or own number, and can automatically associate with the local number list of the database. The automatic association result is presented to the user for confirmation, and if a problem exists, the user can manually adjust the association result. Meanwhile, the final association result can be stored as a template of the user, so that the operation of repeatedly associating the list head of the call ticket by the user is greatly reduced, the use difficulty is reduced, and the data analysis efficiency is improved.
As the data mining analysis method based on the mobile communication ticket in the embodiment of the invention, furthermore, ticket associated data required by the target user is generated and obtained according to the matching result, and the track data used for generating the mobile communication number required by the target user is obtained according to the ticket associated data, wherein the track data comprises the mobile communication number, the operator, the longitude and latitude of the base station and the address of the base station. The call track of the target person can be inquired in real time through the base station library and accurately displayed on the map, and the final result is more visual and clear.
Referring to fig. 6, a distributed deployment environment deployment may be adopted, static resources (ticket files uploaded by a user, police officers' certificates, and the like) of each node are uniformly managed, and a file uniform management platform is set up to meet the requirements of data security and reliability. The method specifically comprises the following steps: a server is expanded to deploy a file unified management platform, and the problem of safe storage of sensitive data in a distributed environment is solved. A/home/files directory is created to store all static resources for all nodes. The directory specification is/home/files/project name/user account/file type/year/month/day/file. Such as: the call is called/home/filedaas/hdfx/zhangsan/excel/2020/10/23/xxxxx call ticket. And respectively mounting the file server/home/files directories to the same directories of all the call ticket servers. The user uploads the file at any call ticket server node, and the file is firstly saved in a local/home/filedaas/directory. The file platform interface is called to upload the file to the file platform server, the interface returns an access bill (url address, the file can be obtained by access) of the file, and the program stores the bill in the database. Since the file server mounts the storage path to all nodes (all nodes have the same file content), the user can access the original file through the ticket at any node.
Further, based on the above method, an embodiment of the present invention further provides a data mining analysis device based on a mobile communication ticket, configured to generate a target number trajectory through ticket template matching, where the data mining analysis device includes: a preprocessing module, a mapping module, a matching module and a searching module, wherein,
the system comprises a preprocessing module, a call center module and a call center module, wherein the preprocessing module is used for setting a ticket core field and a user authority code as a user identity identifier, and the core field at least comprises a number field of both communication sides, a call time field, a call duration field and a calling and called identification field;
the mapping module is used for storing the user authority codes and the ticket files into a one-to-many mapping relation according to the core fields and the similar word groups to form a template knowledge base;
the matching module is used for carrying out template matching on the target user call ticket from the template knowledge base according to the user authority code, and if the template matching fails, the template stored in the template database is matched according to the core field and the similar phrase association;
and the searching module is used for acquiring the call ticket data required to be searched by the target user according to the matching result.
Unless specifically stated otherwise, the relative steps, numerical expressions, and values of the components and steps set forth in these embodiments do not limit the scope of the present invention.
Based on the foregoing system, an embodiment of the present invention further provides a server, including: one or more processors; a storage device to store one or more programs that, when executed by the one or more processors, cause the one or more processors to implement the system as described above.
Based on the above system, the embodiment of the present invention further provides a computer readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the above system.
The device provided by the embodiment of the present invention has the same implementation principle and technical effect as the system embodiment, and for the sake of brief description, reference may be made to the corresponding content in the system embodiment for the part where the device embodiment is not mentioned.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the system and the apparatus described above may refer to the corresponding processes in the foregoing system embodiments, and are not described herein again.
In all examples shown and described herein, any particular value should be construed as merely exemplary, and not as a limitation, and thus other examples of example embodiments may have different values.
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, it need not be further defined and explained in subsequent figures.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus, and system may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the system according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A data mining analysis method based on mobile communication ticket is used for generating target number track through ticket template matching, and is characterized by comprising the following steps:
setting a ticket core field and a user authority code as a user identity identifier, wherein the core field at least comprises a number field of both communication sides, a call time field, a call duration field and a calling and called identification field;
storing the user authority codes and the ticket file into a one-to-many mapping relation according to the core field and the near word group to form a template knowledge base;
carrying out template matching on the target user call bill from the template knowledge base according to the user authority code, and if the template matching fails, correlating and matching the stored template of the template database according to the core field and the similar phrase;
and acquiring the call ticket data required to be searched by the target user according to the matching result.
2. The method according to claim 1, wherein the user authority code is associated with the case resource table and the user table, and the case corresponding to the user and the ticket template for searching the corresponding mobile communication data are obtained through the user authority code.
3. The method according to claim 1 or 2, wherein the user performs template modification and adjustment according to actual application for the correlation matching result, and stores the result as another new template corresponding to the user authority code in the template knowledge base.
4. The method of claim 1, wherein the method further comprises generating and obtaining call ticket associated data required by the target user according to the matching result, and obtaining trajectory data for generating a mobile communication number required by the target user according to the call ticket associated data, wherein the trajectory data includes the mobile communication number, the operator, the base station latitude and longitude, and the base station address.
5. A data mining analysis device based on mobile communication ticket is used for generating target number track through ticket template matching, and is characterized by comprising: a preprocessing module, a mapping module, a matching module and a searching module, wherein,
the system comprises a preprocessing module, a call center module and a call center module, wherein the preprocessing module is used for setting a ticket core field and a user authority code as a user identity identifier, and the core field at least comprises a number field of both communication sides, a call time field, a call duration field and a calling and called identification field;
the mapping module is used for storing the user authority codes and the ticket files into a one-to-many mapping relation according to the core fields and the similar word groups to form a template knowledge base;
the matching module is used for carrying out template matching on the target user call ticket from the template knowledge base according to the user authority code, and if the template matching fails, the template stored in the template database is matched according to the core field and the similar phrase association;
and the searching module is used for acquiring the call ticket data required to be searched by the target user according to the matching result.
6. The device for mining and analyzing data based on mobile phone bill of claim 5, further comprising: and the resource association module is used for associating the user authority codes with the case resource table and the user table, acquiring cases corresponding to the users through the user authority codes and searching the ticket template of the corresponding mobile communication data.
7. The device for mining and analyzing data based on mobile phone bill of claim 5, further comprising: and the template adjusting module is used for modifying and adjusting the template according to the practical application by the user aiming at the correlation matching result, and storing the template as another new template corresponding to the user authority code in the template knowledge base.
8. The device for mining and analyzing data based on mobile phone bill of claim 5, further comprising: and the track generation module is used for generating and acquiring ticket associated data required by the target user according to the matching result and acquiring track data used for generating a mobile communication number required to be searched by the target user according to the ticket associated data, wherein the track data comprises the mobile communication number, an operator, the longitude and latitude of a base station and the address of the base station.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method of any one of claims 1 to 4 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1 to 4.
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