CN112115185A - Population big data analysis method, system, equipment and medium for government affair law enforcement - Google Patents
Population big data analysis method, system, equipment and medium for government affair law enforcement Download PDFInfo
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Abstract
The invention discloses a government affair law enforcement oriented population big data analysis method, system, equipment and medium. The invention discloses a government enforcement oriented population big data analysis method, which comprises the following steps: setting a plurality of acquisition points and a plurality of acquisition time periods, and acquiring the population data of the acquisition points in each acquisition time period; arranging the population data of the acquisition points to obtain population big data, and associating the population big data with the geographic position data to obtain population dynamic position information; analyzing and mining the dynamic position information of the human mouth, and predicting the dynamic position information of the person to be captured according to preset evaluation conditions; and integrating the dynamic position information of the personnel to be captured and the legal data to obtain a legal data collection based on population big data. The population big data analysis method facing government affair law enforcement can provide comprehensive and accurate government affair information, and is convenient for government affair law enforcement personnel to execute government affairs. The invention also discloses a government affair law enforcement oriented population big data analysis system, equipment and a medium.
Description
Technical Field
The invention relates to the technical field of data analysis, in particular to a government law enforcement-oriented population big data analysis method, system, equipment and computer readable storage medium.
Background
The population is a social entity with complex content and a plurality of social relationships, and only by knowing the total amount, structure, distribution and other conditions of the population, the economic social development strategy can be scientifically planned and provided, and the public service can be accurately provided. The analysis of population data is an important basic work for scientific decision-making, and the population data is the basis and precondition for making various policies. Through population analysis, the education receiving degree structure of the population is known, and the education development policy can be scientifically formulated; the method has the advantages that the industry structure of the employment of the population can be known, the employment policy of the population can be scientifically formulated, and scientific basis can be provided for formulation and adjustment of the industry policy and major infrastructure planning; the knowledge of the migration information of the population can provide powerful scientific basis for government law enforcement.
Although the prior art at present has a certain relevance with government law enforcement or population big data analysis, the prior art cannot combine the population big data analysis of government law enforcement for a while, and the existing urban population database has encountered bottlenecks, and has the defects of incomplete data fields and lack of an effective verification mechanism.
For example, in the invention, which is a chinese patent with publication number CN110046174A entitled "a population migration analysis method and system based on big data", the method for acquiring population data is mainly performed through social network sites, and is limited only by limited population data acquired by social network sites, so that it is difficult to accurately acquire a large amount of population data and provide comprehensive and reliable population big data information for government law enforcement.
Furthermore, the application of the invention disclosed in chinese patent application publication No. CN102314630A entitled "mobile law enforcement electronic evidence management system and management method thereof" is affected by external factors such as weather, for example, it is difficult to ensure that audio signals and video signals can normally transmit data and to ensure that data can be normally collected in heavy rain or snow. The mobile law enforcement instrument can only be suitable for the outdoor local law enforcement information acquisition, and is difficult to perform government affair law enforcement analysis on large-scale population big data.
Disclosure of Invention
Based on this, the present invention provides a method, a system, a device and a computer readable storage medium for analyzing population big data for government law enforcement, which can provide comprehensive and accurate government information, facilitate government enforcement personnel to execute government affairs, and improve the efficiency of government enforcement.
The purpose of the invention is realized by the following technical scheme:
in a first aspect, a method for analyzing population big data facing government law enforcement comprises the following steps:
setting a plurality of acquisition points and a plurality of acquisition time periods, and acquiring acquisition point population data of each acquisition point in each acquisition time period;
sorting the population data of the collection points to obtain population big data, and associating the population big data with geographic position data to obtain population dynamic position information;
analyzing and mining the population dynamic position information, and predicting the dynamic position information of the personnel to be caught according to preset evaluation conditions;
and integrating the dynamic position information of the personnel to be captured and the legal data to obtain a legal data collection based on population big data.
The population big data analysis method facing government affair law enforcement can comprehensively and massively collect population data of collection points under the conditions of wide enough collection range and long enough collection time, obtain accurate population big data by sorting mass population data of the collection points, associate the population big data with geographical position data to obtain population dynamic position information, analyze and mine the population dynamic position information, predict the dynamic position information of a person to be arrested according to preset evaluation conditions, and the government affair law enforcement officer can perform government affair law enforcement according to the predicted dynamic position information of the person to be arrested, so that the government affair law enforcement officer is prevented from indiscriminately enforcing the law without head, the waste of time can be reduced, the person to be arrested is arrested, the efficiency of the government affair law enforcement is improved, the society long-time law enforcement is realized, and the dynamic position information of the person to be arrested is integrated with the legal data, and obtaining a legal affair data collection based on population big data, so that related managers can conveniently inquire, and can conveniently make a plan for various government affair law enforcement situations in time.
Further preferably, the collecting of the population data of the collecting points in each collecting time period includes internal collecting and external collecting, wherein the internal collecting is to collect the population data of the collecting points through an education department registration record, a civil administration department registration record, a public security department registration record and a residence information record, and the external collecting is to collect the population data of the collecting points through a monitoring video, a hotel check-in record, a public transportation riding record and a driving vehicle running record.
Further preferably, the sorting the collected point population data and obtaining population big data comprises: checking the population data of the collection point through picture recognition, voice recognition, real-time analysis and off-line analysis;
the dynamic position information of the person to be arrested is predicted according to the preset evaluation condition, specifically, the dynamic position information of the population is compared with the position information of the person to be arrested registered in a law enforcement system, and the dynamic position information of the person to be arrested is predicted by using a track comparison algorithm.
Further preferably, the population big data analysis method facing government law enforcement further comprises the following steps:
establishing a mathematical model according to the obtained population dynamic position information;
uploading the legal data collection based on the population big data to a sharing platform.
In a second aspect, a government enforcement oriented big data analysis system comprises:
the setting and collecting module is used for setting a plurality of collecting points and a plurality of collecting time periods and collecting the collecting point population data of each collecting point in each collecting time period;
the sorting and associating module is used for sorting the population data of the acquisition points, obtaining population big data, and associating the population big data with the geographic position data to obtain population dynamic position information;
the processing and predicting module is used for analyzing and mining the population dynamic position information and predicting the dynamic position information of the personnel to be caught according to preset evaluation conditions;
and the integration module is used for integrating the dynamic position information and the legal data of the personnel to be captured to obtain a legal data collection based on population big data.
Further preferably, the setting and collecting module comprises an internal collecting module and an external collecting module, the internal collecting module is used for collecting the population data of the collecting point through the registration record of an education department, the registration record of a civil administration department, the registration record of a public security department and the record of residence information, and the external collecting module is used for collecting the population data of the collecting point through the monitoring video, the record of hotel check-in, the record of public transport taking and the record of driving vehicles.
Further preferably, the sorting and associating module comprises a checking module for checking the collection point population data through picture recognition, voice recognition, real-time analysis and off-line analysis;
the dynamic position information of the person to be arrested is predicted according to the preset evaluation condition in the processing and predicting module, specifically, the dynamic position information of the population is compared with the position information of the person to be arrested registered in a law enforcement system, and the dynamic position information of the person to be arrested is predicted by using a track comparison algorithm.
Further preferably, the population big data analysis system facing government affair law enforcement further comprises a mathematical model building module and an uploading module, wherein the mathematical model building module is used for building a mathematical model according to the obtained population dynamic position information, and the uploading module is used for uploading the legal data collection set based on the population big data to a sharing platform.
In a third aspect, a government enforcement-oriented demographic data analysis apparatus, comprising a storage device for storing one or more programs and a processor;
when the one or more programs are executed by the processor, the processor implements the government enforcement oriented big data analysis method as in any one of the above.
In a fourth aspect, a computer readable storage medium stores at least one program which, when executed by a processor, implements a method for analysis of demographic data for government law enforcement as in any one of the above.
Compared with the prior art, the population big data analysis method, the system, the equipment and the computer readable storage medium for government affair law enforcement can comprehensively and massively collect population data of collection points under the conditions of wide collection range and long collection time, obtain accurate population big data by sorting mass population data of collection points, associate the population big data with geographic position data to obtain population dynamic position information, analyze and mine the population dynamic position information, predict the dynamic position information of a person to be arrested according to preset evaluation conditions, and enable government affair law enforcement personnel to perform government affair law enforcement behaviors according to the predicted dynamic position information of the person to be arrested, so that the casual and endless law enforcement of the government affair law enforcement personnel can be avoided, the waste of time can be reduced, the person to be arrested can be arrested as soon as possible, and the efficiency of the law enforcement personnel to be arrested is improved, the method and the system realize long-term security of society, integrate the dynamic position information of the personnel to be captured and the legal data to obtain a legal data collection based on population big data, are convenient for relevant managers to inquire, and are also convenient for making a pre-arranged plan for various government law enforcement situations in time. The population big data analysis method, the system, the equipment and the computer readable storage medium for government affair law enforcement can ensure that data are normally acquired, can accurately acquire a large amount of population data and provide comprehensive and reliable population big data information.
For a better understanding and practice, the invention is described in detail below with reference to the accompanying drawings.
Drawings
Fig. 1 is a flowchart of the government enforcement oriented big data analysis method of the present invention.
Fig. 2 is an overall schematic diagram of the government enforcement oriented big data analysis system of the present invention.
Detailed Description
The terms of orientation of up, down, left, right, front, back, top, bottom, and the like, referred to or may be referred to in this specification, are defined relative to their configuration, and are relative concepts. Therefore, it may be changed according to different positions and different use states. Therefore, these and other directional terms should not be construed as limiting terms.
The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
The terminology used in the present disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used in this disclosure and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
A method for analyzing population big data facing government law enforcement, as shown in fig. 1, comprising the following steps:
setting a plurality of acquisition points and a plurality of acquisition time periods, and acquiring acquisition point population data of each acquisition point in each acquisition time period;
sorting the population data of the collection points to obtain population big data, and associating the population big data with geographic position data to obtain population dynamic position information;
analyzing and mining the population dynamic position information, and predicting the dynamic position information of the personnel to be caught according to preset evaluation conditions;
and integrating the dynamic position information of the personnel to be captured and the legal data to obtain a legal data collection based on population big data.
The population big data analysis method facing government affair law enforcement can comprehensively and massively collect population data of collection points under the conditions of wide enough collection range and long enough collection time, obtain accurate population big data by sorting mass population data of the collection points, associate the population big data with geographical position data to obtain population dynamic position information, analyze and mine the population dynamic position information, predict the dynamic position information of a person to be arrested according to preset evaluation conditions, and the government affair law enforcement officer can perform government affair law enforcement according to the predicted dynamic position information of the person to be arrested, so that the government affair law enforcement officer is prevented from indiscriminately enforcing the law without head, the waste of time can be reduced, the person to be arrested is arrested, the efficiency of the government affair law enforcement is improved, the society long-time law enforcement is realized, and the dynamic position information of the person to be arrested is integrated with the legal data, and obtaining a legal affair data collection based on population big data, so that related managers can conveniently inquire, and can conveniently make a plan for various government affair law enforcement situations in time.
Specifically, the population big data analysis method facing government affair law enforcement comprises the following steps:
distributing a plurality of acquisition points in a larger geographical range, acquiring acquisition point population data of each acquisition point in real time in each acquisition time period, wherein the acquisition point population data of the acquisition points comprise internal acquisition and external acquisition, the internal acquisition preferably acquires the acquisition point population data through an education department registration record, a civil administration department registration record, a public security department registration record and a residence information record, and the external acquisition preferably acquires the acquisition point population data through a monitoring video, a hotel check-in record, a public transportation riding record and a driving vehicle running record so as to comprehensively acquire the acquisition point population data with a large enough range and a sufficient number;
collecting point population data and acquiring population big data, checking the collected point population data by image recognition, voice recognition, real-time analysis and off-line analysis after the collected point population data is sorted, acquiring more accurate population big data, associating the population big data with geographic position data corresponding to a geographic range provided with a plurality of collecting points to acquire corresponding population dynamic position information, preferably sequencing and interpolating the population big data, counting the geographic information and population basic information of the region where the population is located in each time unit by combining a geographic information system to acquire a population dynamic trajectory data set, and preferably establishing a mathematical model according to the acquired population dynamic position information to provide a population dynamic data integration result which has stable data structure, accurate data and meets the management requirement for a management platform of the geographic range, the management personnel or law enforcement personnel can conveniently check population dynamic information;
analyzing and mining the obtained population big data and population dynamic position information, preferably, analyzing comprises simple analysis and complex analysis, the simple analysis comprises query analysis based on a table structure and a relation function and flow analysis based on data, time flow and statistical analysis, the complex analysis is carried out based on complex data structure and method, matrix, iterative computation and advanced algebra, the analysis technology with different characteristics can be suitable for the analysis target requirements of different population big data, and the mining can carry out data mining, machine learning and deep learning technology on the population big data and the population dynamic position information through regression analysis decision tree, neural network, clustering, association rule and the like so as to mine the value of the data, and comprehensively analyzing and mining a large amount of population big data and population dynamic position information so as to mine the population, economy, society, social and social aspects, The method comprises the steps that the relation among environment, traffic, medical treatment, education, safety, emergency, tourism, consumption, culture and sports is deeply grasped, the dynamic position information of a person to be arrested is predicted according to a preset evaluation condition, preferably, the preset evaluation condition is that the dynamic position information of a population is compared with the position information of the person to be arrested registered in a law enforcement system, the dynamic position information of the person to be arrested is intelligently predicted according to the comparison range of a dynamic route by using a track comparison algorithm, government law enforcement personnel can conveniently arrest the person to be arrested, the track of the population is analyzed and recorded, and early warning analysis is timely carried out on existing problems;
the dynamic position information and the legal data of the person to be captured are integrated, the mass data are rapidly expanded, the signaling data with the increased PB-level speed are processed, a legal data collection set based on the big population data is obtained, the data required by government law enforcement are obtained and are uniformly analyzed, processed and stored, the legal data collection set based on the big population data can be stored and uploaded to a government law enforcement platform to be shared, the visual display of the legal data is realized, and the inquiry of the government law enforcement person is facilitated to execute government affairs.
Preferably, identity verification and authority setting can be carried out on personnel inquiring data, so that the safety of the data is protected.
The population big data analysis method facing government affair law enforcement adopts a population big data analysis technology to realize population big data access, population big data storage and population big data sharing and exchange, comprehensively and accurately analyzes population personal information, pushes accurate information for government affair law enforcement, and can meet the requirements of population management and improvement of quality and level of public service. Traditional demographics are mainly defined from the management perspective of functional departments, for example, economic activity population defined by the statistical department is determined by census work of basic level statistical personnel, but the phenomenon that the first line statistical personnel compiles demographic materials to replace the family visit statistical work exists in the census work.
The population of the current public security system mainly covers household register population and floating population transacting resident certificates, the population coverage is not comprehensive enough and accurate enough, the population big data analysis method facing government affair law enforcement can comprehensively cover population information, provide powerful scientific basis for government affair law enforcement, better support government population management and provide public service with more comprehensive coverage and stronger pertinence for people.
With the lapse of time, the development of business and the arrival of big data era, the data volume and frequency required to be exchanged are increased, so the population big data analysis method facing government law enforcement establishes a set of complete population big data analysis method through the technologies of big data storage, calculation, analysis, mining and the like, and provides powerful information technical support for government law enforcement.
By the population big data analysis method facing government affair law enforcement, the attribute characteristics, the structural characteristics and the change rule of population are recorded in real time, collected collection point population data are processed into a legal data collection set based on the population big data, a comprehensive and accurate big data collection set is provided for a government affair system, and public service boosting civil happiness engineering can be accurately provided; by establishing a population information analysis and tracking platform, the conditions of citizens' ages, academic calendars, health, education, income and the like can be accurately mastered, public services such as poverty alleviation, education, medical treatment, employment and the like can be accurately provided, the quality and efficiency of the public services are improved, and the resource waste is reduced; the construction is accurate and comprehensive, and the population data and basic databases such as government affair law enforcement, traffic, legal personnel and the like can be communicated, so that the scientificity of government decision is improved, and the fine management is realized.
The invention also discloses a government law enforcement-oriented population big data analysis system, as shown in fig. 2, comprising:
the setting and collecting module is used for setting a plurality of collecting points and a plurality of collecting time periods and collecting the collecting point population data of each collecting point in each collecting time period;
the sorting and associating module is used for sorting the population data of the acquisition points, obtaining population big data, and associating the population big data with the geographic position data to obtain population dynamic position information;
the processing and predicting module is used for analyzing and mining the population dynamic position information and predicting the dynamic position information of the personnel to be caught according to preset evaluation conditions;
and the integration module is used for integrating the dynamic position information and the legal data of the personnel to be captured to obtain a legal data collection based on population big data.
Further preferably, the setting and collecting module comprises an internal collecting module and an external collecting module, the internal collecting module is used for collecting the population data of the collecting point through the registration record of an education department, the registration record of a civil administration department, the registration record of a public security department and the record of residence information, and the external collecting module is used for collecting the population data of the collecting point through the monitoring video, the record of hotel check-in, the record of public transport taking and the record of driving vehicles.
Further preferably, the sorting and associating module comprises a checking module for checking the collection point population data through picture recognition, voice recognition, real-time analysis and off-line analysis;
the dynamic position information of the person to be arrested is predicted according to the preset evaluation condition in the processing and predicting module, specifically, the dynamic position information of the population is compared with the position information of the person to be arrested registered in a law enforcement system, and the dynamic position information of the person to be arrested is predicted by using a track comparison algorithm.
Further preferably, the population big data analysis system facing government affair law enforcement further comprises a mathematical model building module and an uploading module, wherein the mathematical model building module is used for building a mathematical model according to the obtained population dynamic position information, and the uploading module is used for uploading the legal data collection set based on the population big data to a sharing platform.
The invention also discloses a government enforcement-oriented population big data analysis device, which comprises a storage device and a processor, wherein the storage device is used for storing one or more programs;
when the one or more programs are executed by the processor, the processor implements the government enforcement oriented big data analysis method as described above.
The device may also preferably include a communication interface for communicating with external devices and for interactive transmission of data.
It should be noted that the memory may include a high-speed RAM memory, and may also include a nonvolatile memory (nonvolatile memory), such as at least one disk memory.
In a specific implementation, if the memory, the processor and the communication interface are integrated on a chip, the memory, the processor and the communication interface can complete mutual communication through the internal interface. If the memory, the processor and the communication interface are implemented independently, the memory, the processor and the communication interface may be connected to each other through a bus and perform communication with each other.
The invention also discloses a computer readable storage medium storing at least one program which, when executed by a processor, implements the method for analyzing big population data for government law enforcement as described above.
It should be appreciated that the computer-readable storage medium is any data storage device that can store data or programs which can thereafter be read by a computer system. Examples of computer-readable storage media include: read-only memory, random access memory, CD-ROM, HDD, DVD, magnetic tape, optical data storage devices, and the like.
The computer readable storage medium can also be distributed over network coupled computer systems so that the computer readable code is stored and executed in a distributed fashion.
Program code embodied on a computer readable storage medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, Radio Frequency (RF), etc., or any suitable combination of the foregoing.
In some embodiments, the computer-readable storage medium may also be non-transitory.
Compared with the prior art, the population big data analysis method, the system, the equipment and the computer readable storage medium for government affair law enforcement can comprehensively and massively collect population data of collection points under the conditions of wide collection range and long collection time, obtain accurate population big data by sorting mass population data of collection points, associate the population big data with geographic position data to obtain population dynamic position information, analyze and mine the population dynamic position information, predict the dynamic position information of a person to be arrested according to preset evaluation conditions, and enable government affair law enforcement personnel to perform government affair law enforcement behaviors according to the predicted dynamic position information of the person to be arrested, so that the casual and endless law enforcement of the government affair law enforcement personnel can be avoided, the waste of time can be reduced, the person to be arrested can be arrested as soon as possible, and the efficiency of the law enforcement personnel to be arrested is improved, the method and the system realize long-term security of society, integrate the dynamic position information of the personnel to be captured and the legal data to obtain a legal data collection based on population big data, are convenient for relevant managers to inquire, and are also convenient for making a pre-arranged plan for various government law enforcement situations in time. The population big data analysis method, the system, the equipment and the computer readable storage medium for government affair law enforcement can ensure that data are normally acquired, can accurately acquire a large amount of population data and provide comprehensive and reliable population big data information.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention.
Claims (10)
1. A population big data analysis method facing government affair law enforcement is characterized by comprising the following steps:
setting a plurality of acquisition points and a plurality of acquisition time periods, and acquiring acquisition point population data of each acquisition point in each acquisition time period;
sorting the population data of the collection points to obtain population big data, and associating the population big data with geographic position data to obtain population dynamic position information;
analyzing and mining the population dynamic position information, and predicting the dynamic position information of the personnel to be caught according to preset evaluation conditions;
and integrating the dynamic position information of the personnel to be captured and the legal data to obtain a legal data collection based on population big data.
2. The government enforcement-oriented big data analysis method according to claim 1, wherein: the collecting of the population data of the collecting points in each collecting time period comprises internal collecting and external collecting, wherein the internal collecting specifically comprises collecting the population data of the collecting points through an education department registration record, a civil administration department registration record, a public security department registration record and a residence information record, and the external collecting specifically comprises collecting the population data of the collecting points through a monitoring video, a hotel check-in record, a public transportation taking record and a driving vehicle running record.
3. The government enforcement-oriented population big data analysis method according to claim 1, wherein the sorting the collection point population data and obtaining population big data comprises: checking the population data of the collection point through picture recognition, voice recognition, real-time analysis and off-line analysis;
the dynamic position information of the person to be arrested is predicted according to the preset evaluation condition, specifically, the dynamic position information of the population is compared with the position information of the person to be arrested registered in a law enforcement system, and the dynamic position information of the person to be arrested is predicted by using a track comparison algorithm.
4. The government enforcement oriented population big data analysis method according to claim 1, further comprising the steps of:
establishing a mathematical model according to the obtained population dynamic position information;
uploading the legal data collection based on the population big data to a sharing platform.
5. A government enforcement oriented big data analysis system, comprising:
the setting and collecting module is used for setting a plurality of collecting points and a plurality of collecting time periods and collecting the collecting point population data of each collecting point in each collecting time period;
the sorting and associating module is used for sorting the population data of the acquisition points, obtaining population big data, and associating the population big data with the geographic position data to obtain population dynamic position information;
the processing and predicting module is used for analyzing and mining the population dynamic position information and predicting the dynamic position information of the personnel to be caught according to preset evaluation conditions;
and the integration module is used for integrating the dynamic position information and the legal data of the personnel to be captured to obtain a legal data collection based on population big data.
6. The government enforcement-oriented big data analysis system of claim 5, wherein: the setting and acquisition module comprises an internal acquisition module and an external acquisition module, the internal acquisition module is used for acquiring acquisition point population data through education department registration records, civil administration department registration records, public security department registration records and residence information records, and the external acquisition module is used for acquiring acquisition point population data through monitoring videos, hotel check-in records, public transportation riding records and driving vehicle running records.
7. The government enforcement-oriented big data analysis system of claim 5, wherein: the sorting and association module comprises a checking module which is used for checking acquisition point population data through picture recognition, voice recognition, real-time analysis and off-line analysis;
the dynamic position information of the person to be arrested is predicted according to the preset evaluation condition in the processing and predicting module, specifically, the dynamic position information of the population is compared with the position information of the person to be arrested registered in a law enforcement system, and the dynamic position information of the person to be arrested is predicted by using a track comparison algorithm.
8. The government enforcement-oriented big data analysis system of claim 5, wherein: the population big data analysis system facing government affair law enforcement further comprises a mathematical model building module and an uploading module, wherein the mathematical model building module is used for building a mathematical model according to the obtained population dynamic position information, and the uploading module is used for uploading the legal data collection set based on population big data to a sharing platform.
9. A government enforcement oriented population big data analysis device, comprising a storage device and a processor, wherein the storage device is used for storing one or more programs;
the one or more programs, when executed by the processor, implement the government enforcement oriented big data analytics method according to any one of claims 1-4.
10. A computer-readable storage medium storing at least one program, which when executed by a processor, implements a method for analysis of demographic data for government law enforcement according to any one of claims 1 to 4.
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