CN114443694A - Cable multidimensional association relation analysis method, terminal equipment and storage medium - Google Patents
Cable multidimensional association relation analysis method, terminal equipment and storage medium Download PDFInfo
- Publication number
- CN114443694A CN114443694A CN202111613331.9A CN202111613331A CN114443694A CN 114443694 A CN114443694 A CN 114443694A CN 202111613331 A CN202111613331 A CN 202111613331A CN 114443694 A CN114443694 A CN 114443694A
- Authority
- CN
- China
- Prior art keywords
- group
- grouping
- holder
- thread
- clue
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000004458 analytical method Methods 0.000 title claims abstract description 14
- 238000004891 communication Methods 0.000 claims abstract description 44
- 238000000034 method Methods 0.000 claims abstract description 24
- 238000004364 calculation method Methods 0.000 claims abstract description 5
- 238000004590 computer program Methods 0.000 claims description 17
- 238000010219 correlation analysis Methods 0.000 abstract description 2
- 230000000007 visual effect Effects 0.000 abstract description 2
- 238000012098 association analyses Methods 0.000 description 8
- 238000004220 aggregation Methods 0.000 description 2
- 230000002776 aggregation Effects 0.000 description 2
- 239000002131 composite material Substances 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 206010063385 Intellectualisation Diseases 0.000 description 1
- 230000004931 aggregating effect Effects 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/283—Multi-dimensional databases or data warehouses, e.g. MOLAP or ROLAP
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Tourism & Hospitality (AREA)
- Educational Administration (AREA)
- Development Economics (AREA)
- Health & Medical Sciences (AREA)
- Economics (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Computational Linguistics (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention relates to a cable multidimensional correlation analysis method, terminal equipment and a storage medium, wherein the method comprises the following steps: collecting case-associated communication data, and extracting clue information and clue holder information; grouping all the clue information according to three dimensions of a group, a holder and a clue to which the holder belongs, and storing a grouping result in a grouping list corresponding to each dimension; according to the grouping dimensions, performing statistical calculation on all communication characteristics between each group and other groups, and correspondingly storing statistical results into a communication result list corresponding to each grouping dimension; s4: and extracting grouping information and a communication result according to the grouping dimension and the communication characteristic which need to be displayed by the clues, and then carrying out visual display. Compared with the traditional single-dimension analysis method, the method is more flexible and efficient, the time for reading and observing the graph by people is shortened, and the working efficiency is improved.
Description
Technical Field
The invention relates to the field of incidence relation analysis, in particular to a method for analyzing a multi-dimensional incidence relation of a cable, terminal equipment and a storage medium.
Background
With the development of social economy, various high-tech technologies and communication modes, various illegal behaviors also enter the era of big data and intellectualization. The products in the market only aim at the fund transaction analysis between the bank card (account) and the bank card (account), the support order of magnitude is small, the analysis speed is slow, and the display effect cannot highlight the key point.
Disclosure of Invention
In order to solve the above problems, the invention provides a cable multidimensional association relation analysis method, a terminal device and a storage medium.
The specific scheme is as follows:
a cable multi-dimensional incidence relation analysis method comprises the following steps:
s1: collecting case-associated communication data, and extracting clue information and clue holder information in the communication data;
s2: grouping all the clue information according to three dimensions of a group, a holder and a clue to which the holder belongs, storing grouping results in a grouping list corresponding to each dimension, and storing a group ID of each group and the clue contained in each group in the grouping list;
s3: according to the grouping dimensions, performing statistical calculation on all communication characteristics between each group and other groups, and correspondingly storing statistical results into a communication result list corresponding to each grouping dimension;
s4: according to the grouping dimension and the communication characteristic which need to be displayed by clues, grouping information is extracted from a grouping list corresponding to the grouping dimension, after a corresponding communication result is extracted from a communication result list corresponding to the grouping dimension and the communication characteristic, the extracted information is displayed visually, a displayed graph data takes a group as a unit, and the communication result between the groups is identified through links between the entities.
Furthermore, the data of the communication is bank card transaction data, the corresponding clue information is a bank card number, and the clue holder information is a holder of the bank card.
Further, when grouping is carried out according to the group, all clues corresponding to all holders in one group are divided into one group, and the group ID of each group is set; for an individual holder who does not have a group, taking the holder ID corresponding to the holder as the group ID of all threads corresponding to the holder; for an individual thread without a bearer, the thread ID of that thread is taken as the group ID of that thread.
Further, when the groups are grouped according to the holders, all clues corresponding to each holder are divided into a group, and the group ID of each clue in each group is the corresponding holder ID; for an individual thread without a bearer, the thread ID of that thread is taken as the group ID of that thread.
Further, when grouped by threads, the thread ID of each thread is its group ID.
Further, the connection characteristics comprise transaction times, transaction sum, transaction quota, transaction net amount and associated object number.
A cable multidimensional association relation analysis terminal device comprises a processor, a memory and a computer program which is stored in the memory and can run on the processor, wherein the processor executes the computer program to realize the steps of the method of the embodiment of the invention.
A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method as described above for embodiments of the invention.
The invention adopts the technical scheme, and solves the problems that the existing product can only be analyzed in a single dimension, the analyzed data and the aggregation and classification methods and the display effects are single, the analysis speed is low, the dimensions can not be mutually switched, and the group to the individual and the clue cannot be realized.
Drawings
Fig. 1 is a flowchart illustrating a first embodiment of the present invention.
Fig. 2 is a schematic diagram illustrating the result of the grouping by group in this embodiment.
Detailed Description
To further illustrate the various embodiments, the invention provides the accompanying drawings. The accompanying drawings, which are incorporated in and constitute a part of this disclosure, illustrate embodiments of the invention and, together with the description, serve to explain the principles of the embodiments. Those skilled in the art will appreciate still other possible embodiments and advantages of the present invention with reference to these figures.
The invention will now be further described with reference to the accompanying drawings and detailed description.
The first embodiment is as follows:
the embodiment of the invention provides a method for analyzing a multi-dimensional incidence relation of a cable, which comprises the following steps of:
s1: collecting the communication data associated with the case, and extracting the clue information and the clue holder information in the communication data.
In this embodiment, the data of the communication is set as transaction data of the bank card, the corresponding thread information is the bank card number, and the information of the thread holder is the holder of the bank card. In other embodiments, the connection data may also adopt other types of data, such as telephone bill records, and the like, which is not limited herein.
S2: grouping all the clue information according to three dimensions of a group, a holder and a clue to which the holder belongs, storing grouping results in a grouping list corresponding to each dimension, and storing a group ID (unique code) of each group and the clue contained in each group in the grouping list.
When grouping according to a group, dividing all clues corresponding to all holders in one group into one group, and setting the group ID of each group; for an individual holder who does not have a group, taking the holder ID corresponding to the holder as the group ID of all threads corresponding to the holder; for an individual thread without a bearer, the thread ID of the thread is taken as the group ID of the thread.
When the groups are grouped according to the holders, all the clues corresponding to each holder are divided into a group, and the group ID of each clue in each group is the corresponding holder ID; for an individual thread without a bearer, the thread ID of that thread is taken as the group ID of that thread.
When grouped by threads, the thread ID of each thread is its group ID.
S3: and according to the grouping dimension, performing statistical calculation on all the communication characteristics between each group and other groups, and correspondingly storing the statistical results into a communication result list corresponding to each grouping dimension.
The characteristics of the communication in the embodiment comprise transaction times, transaction sum, transaction quota, transaction net amount, number of related objects and the like. In other embodiments, other communication features may be set according to requirements, and are not limited herein.
Under different grouping dimensions, the objects used for calculation are different from group to group, for example, when grouping is carried out by groups, the transaction times, the transaction sum, the transaction quota, the transaction net amount and the associated object amount between each group and other groups are calculated; when the holders perform person grouping, calculating the transaction times, the transaction sum, the transaction quota, the transaction net amount and the number of associated objects between each holder and other holders; when the clues are grouped, the transaction times, the transaction sum, the transaction quota, the transaction net amount and the number of associated objects between each clue and other clues are calculated.
S4: according to the grouping dimension and the communication characteristic which need to be displayed by clues, grouping information is extracted from a grouping list corresponding to the grouping dimension, after a corresponding communication result is extracted from a communication result list corresponding to the grouping dimension and the communication characteristic, the extracted information is displayed visually, a displayed graph data takes a group as a unit, and the communication result between the groups is identified through links between the entities.
As shown in fig. 2, which is a schematic diagram of a visual display result with a group as a grouping dimension in this embodiment, an entity uses a composite primitive identifier composed of primitives corresponding to a large number of single threads.
It should be noted that the displayed communication feature may be one or more features of the communication feature, and only after the selected communication feature that needs to be displayed is displayed, the corresponding communication feature is extracted from the communication result list.
The embodiment of the invention forms the association relationship among the group, the person and the clue through the data of the communication relationship among the group, the holder or the clue and between the holder and the clue, thereby rapidly carrying out aggregation and classification, realizing the method for analyzing by three different dimensions of the group, the person and the clue, being capable of observing and screening data in different dimensions with emphasis, and rapidly and accurately obtaining the conclusion. The 'group partner', 'person' and 'clue' can be adjusted flexibly according to the situation mastered by the staff, so that the conclusion is more accurate and the actual situation is more met. By the method, important contacts between the groups can be checked, and internal transaction conditions of the groups or the holders can also be checked.
According to the embodiment of the invention, a large number of primitives can be abstracted into a composite primitive by aggregating the data and the attributes owned by the clue entity to the person and the data and the attributes owned by the person entity to the party, so that the drawing time of the graphics is saved, the reading and observing time of the person on the graphics is reduced, and the working efficiency is improved. Compared with the traditional single-dimension analysis method, the method is more flexible and efficient.
Example two:
the invention further provides a cable multidimensional association relation analysis terminal device, which comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, wherein the processor executes the computer program to realize the steps of the method embodiment of the first embodiment of the invention.
Further, as an executable scheme, the clue multidimensional association analysis terminal device may be a computing device such as a desktop computer, a notebook, a palm computer, and a cloud server. The clue multidimensional incidence relation analysis terminal device can comprise, but is not limited to, a processor and a memory. It can be understood by those skilled in the art that the above-mentioned composition structure of the clue multidimensional association analysis terminal device is only an example of the clue multidimensional association analysis terminal device, and does not constitute a limitation on the clue multidimensional association analysis terminal device, and may include more or less components than the above, or combine some components, or different components, for example, the clue multidimensional association analysis terminal device may further include an input/output device, a network access device, a bus, and the like, which is not limited in this embodiment of the present invention.
Further, as an executable solution, the Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, a discrete hardware component, and the like. The general processor may be a microprocessor or the processor may be any conventional processor, and the processor is a control center of the clue multidimensional association analysis terminal device, and various interfaces and lines are used to connect various parts of the whole clue multidimensional association analysis terminal device.
The memory can be used for storing the computer program and/or the module, and the processor realizes various functions of the clue multi-dimensional incidence relation analysis terminal device by running or executing the computer program and/or the module stored in the memory and calling the data stored in the memory. The memory can mainly comprise a program storage area and a data storage area, wherein the program storage area can store an operating system and an application program required by at least one function; the storage data area may store data created according to the use of the mobile phone, and the like. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The invention also provides a computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out the steps of the above-mentioned method of an embodiment of the invention.
The module/unit integrated by the clue multidimensional association analysis terminal device can be stored in a computer readable storage medium if the module/unit is realized in the form of a software functional unit and sold or used as an independent product. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), software distribution medium, and the like.
While the invention has been particularly shown and described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (8)
1. A method for analyzing a multi-dimensional incidence relation of a cable is characterized by comprising the following steps:
s1: collecting case-associated communication data, and extracting clue information and clue holder information in the communication data;
s2: grouping all the clue information according to three dimensions of a group, a holder and a clue to which the holder belongs, storing grouping results in a grouping list corresponding to each dimension, and storing a group ID of each group and the clue contained in each group in the grouping list;
s3: according to the grouping dimensions, performing statistical calculation on all communication characteristics between each group and other groups, and correspondingly storing statistical results into a communication result list corresponding to each grouping dimension;
s4: according to grouping dimensions and communication features required to be displayed by clues, grouping information is extracted from a grouping list corresponding to the grouping dimensions, corresponding communication results are extracted from a communication result list corresponding to the grouping dimensions and the communication features, the extracted information is displayed visually, groups are taken as an entity in displayed graph data, and communication results between the groups are identified through links between the entities.
2. The method of claim 1, wherein: the data of the communication is bank card transaction data, the corresponding clue information is a bank card number, and the clue holder information is a holder of the bank card.
3. The method of claim 1, wherein: when grouping according to a group, dividing all clues corresponding to all holders in one group into one group, and setting the group ID of each group; for an individual holder who does not have a group, taking the holder ID corresponding to the holder as the group ID of all threads corresponding to the holder; for an individual thread without a bearer, the thread ID of that thread is taken as the group ID of that thread.
4. The method of claim 1, wherein: when the threads are grouped according to the holders, all threads corresponding to each holder are divided into one group, and the group ID of each thread in each group is the corresponding holder ID; for an individual thread without a bearer, the thread ID of that thread is taken as the group ID of that thread.
5. The method of claim 1, wherein: when grouped by thread, the thread ID of each thread is its group ID.
6. The method of claim 1, wherein: the connection characteristics comprise transaction times, transaction sum, transaction quota, transaction net amount and related object number.
7. A cable multidimensional incidence relation analysis terminal device is characterized in that: comprising a processor, a memory and a computer program stored in the memory and running on the processor, the processor implementing the steps of the method according to any one of claims 1 to 6 when executing the computer program.
8. A computer-readable storage medium storing a computer program, characterized in that: the computer program when executed by a processor implementing the steps of the method as claimed in any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111613331.9A CN114443694A (en) | 2021-12-27 | 2021-12-27 | Cable multidimensional association relation analysis method, terminal equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111613331.9A CN114443694A (en) | 2021-12-27 | 2021-12-27 | Cable multidimensional association relation analysis method, terminal equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114443694A true CN114443694A (en) | 2022-05-06 |
Family
ID=81363596
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111613331.9A Pending CN114443694A (en) | 2021-12-27 | 2021-12-27 | Cable multidimensional association relation analysis method, terminal equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114443694A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160063501A1 (en) * | 2008-06-18 | 2016-03-03 | Saraansh Software Solutions Pvt. Ltd. | System for detecting banking frauds by examples |
| CN107870988A (en) * | 2017-10-17 | 2018-04-03 | 厦门市美亚柏科信息股份有限公司 | A kind of information verification method, terminal device and storage medium |
| CN111026818A (en) * | 2019-12-17 | 2020-04-17 | 厦门市美亚柏科信息股份有限公司 | Multi-object associated view construction method, terminal device and storage medium |
| CN112085464A (en) * | 2020-08-24 | 2020-12-15 | 北京金堤征信服务有限公司 | Associated data processing method and device |
| CN112860844A (en) * | 2021-01-13 | 2021-05-28 | 广东省公安厅 | Case clue processing system, method and device and computer equipment |
-
2021
- 2021-12-27 CN CN202111613331.9A patent/CN114443694A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160063501A1 (en) * | 2008-06-18 | 2016-03-03 | Saraansh Software Solutions Pvt. Ltd. | System for detecting banking frauds by examples |
| CN107870988A (en) * | 2017-10-17 | 2018-04-03 | 厦门市美亚柏科信息股份有限公司 | A kind of information verification method, terminal device and storage medium |
| CN111026818A (en) * | 2019-12-17 | 2020-04-17 | 厦门市美亚柏科信息股份有限公司 | Multi-object associated view construction method, terminal device and storage medium |
| CN112085464A (en) * | 2020-08-24 | 2020-12-15 | 北京金堤征信服务有限公司 | Associated data processing method and device |
| CN112860844A (en) * | 2021-01-13 | 2021-05-28 | 广东省公安厅 | Case clue processing system, method and device and computer equipment |
Non-Patent Citations (2)
| Title |
|---|
| 卢怀农;: "一种物品信息多维采集设备及信息深度应用方法", 警察技术, no. 06, 7 November 2018 (2018-11-07) * |
| 赵绍曾: "林业技术经济效果", 31 August 1988, 中国林业出版社, pages: 44 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108376364B (en) | Payment system account checking method and device and terminal device | |
| CN107784063B (en) | Algorithm generation method and terminal equipment | |
| CN108388675A (en) | Circulation method and terminal device are drawn in a kind of identity | |
| CN107870988A (en) | A kind of information verification method, terminal device and storage medium | |
| US20210233027A1 (en) | Method for conducting statistics on insurance type state information of policy, terminal device and storage medium | |
| CN110737917A (en) | Data sharing device and method based on privacy protection and readable storage medium | |
| CN111460011A (en) | Page data display method and device, server and storage medium | |
| CN111949681A (en) | Data aggregation processing device and method and storage medium | |
| CN112733531A (en) | Virtual resource allocation method and device, electronic equipment and computer storage medium | |
| CN111026818A (en) | Multi-object associated view construction method, terminal device and storage medium | |
| CN117150138B (en) | Scientific and technological resource organization method and system based on high-dimensional space mapping | |
| CN112966756A (en) | Visual access rule generation method and device, machine readable medium and equipment | |
| CN114443694A (en) | Cable multidimensional association relation analysis method, terminal equipment and storage medium | |
| CN113570464B (en) | Digital currency transaction community identification method, system, equipment and storage medium | |
| CN110362470A (en) | Test data collection method, device, electronic equipment and storage medium | |
| CN110544166A (en) | Sample generation method, device and storage medium | |
| CN108985758A (en) | Data processing method, data processing system and terminal device | |
| CN114445222A (en) | Fund transaction tracking method, terminal equipment and storage medium | |
| CN114693435A (en) | Intelligent return visit method and device for collection list, electronic equipment and storage medium | |
| CN113487407A (en) | Data processing method and device and electronic equipment | |
| CN114385878A (en) | Visual display method and device for government affair data and terminal equipment | |
| CN111859985A (en) | AI customer service model testing method, device, electronic equipment and storage medium | |
| CN117271840B (en) | Data query method and device of graph database and electronic equipment | |
| CN111753331B (en) | Data bleaching method and device | |
| CN116308770A (en) | Data information processing method, device, terminal and medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |