CN112488498A - Public security and civil meaning synthesis application system - Google Patents
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Abstract
The invention discloses a civil synthesis application system, which comprises a civil synthesis subsystem, a special study and judgment subsystem, a three-in-one subsystem, an intelligent report subsystem and a civil real-time dynamic subsystem; the civil synthesis subsystem shows the appeal conditions of the public in different areas on the social security satisfaction and the public security team satisfaction; the special research and judgment subsystem carries out special analysis on the service satisfaction of various service crowds; the three-in-one subsystem comprehensively analyzes the converged civil data, service data and team data to form an efficiency analysis file and a policeman law enforcement service file of each unit; the intelligent report subsystem builds a model in advance, and generates a business analysis report and/or a comprehensive analysis report by checking a custom template; the civil real-time dynamic subsystem displays the number of various trend convergence in real time and displays the convergence state of the civil appeal in the form of a map. The public security opinion system can analyze opinion in a multi-dimensional way, accurately position opinion problems and early warn sensitive data in real time.
Description
Technical Field
The invention relates to the field of public security informatization systems, in particular to a public security opinion system.
Background
In recent years, the daily monitoring and return visit data of the public security opinion 110 include 12345 government affair hotline, supervision, inspection, petition and the like besides the opinion collected by the system, and tens of millions of data reflect the opinions of different groups on public security work. In the data construction dimension, the data label system built by the idea 110 is a great help and support for data research and judgment. Compared with original data, the artificially labeled basic information has the analysis value of multiple expansion, and has greater help and promotion on data association analysis. Under the condition, how to form an effective data management and data analysis system and accurately position the attention point of mass civil data is very important.
Meanwhile, the intelligent, refined and customized levels of mass analysis and application of the civil data are not high enough, the problems of limited judgment dimensionality, few types of data participating in analysis, old display modes and the like exist, and the huge value of the civil data in the aspects of public security, treatment, police treatment and the like is not fully mined and applied. The method conforms to the trend of the big data era, fully plays the roles of discovering problems, assisting decision, serving actual combat and discovering typical of civil big data, builds a police service efficiency monitoring system, and is an important method for improving the analysis of public security civil meaning.
Disclosure of Invention
The purpose of the invention is as follows: the invention aims to provide a public security opinion system which can perform multidimensional opinion analysis, accurately position opinion problems and early warn sensitive data in real time.
The technical scheme is as follows: the invention relates to a civil synthesis application system, which comprises a civil synthesis subsystem, a special study and judgment subsystem, a three-in-one subsystem, an intelligent report subsystem and a civil real-time dynamic subsystem;
the civil synthesis subsystem shows the appeal conditions of the public in different areas on the social security satisfaction and the public security team satisfaction;
the special research and judgment subsystem carries out special analysis on the service satisfaction of various service crowds;
the three-in-one subsystem comprehensively analyzes the converged civil data, service data and team data to form an efficiency analysis file and a policeman law enforcement service file of each unit;
the intelligent report subsystem builds a model in advance, and generates a business analysis report and/or a comprehensive analysis report by checking a custom template;
the civil real-time dynamic subsystem displays the number of various trend convergence in real time and displays the convergence state of the civil appeal in the form of a map.
The idea synthesis subsystem comprises an idea index, an idea matrix, a hotspot problem, a multi-dimensional analysis module, an idea position and an idea cloud searching module.
The popularity index module displays the concentrated appeal condition in a thermodynamic diagram mode, and the redder the color is, the more concentrated the appeal of the masses is; the opinion matrix module analyzes crowd feedback in specific units and time periods through unit and time screening, wherein the crowd feedback comprises social security satisfaction, public security team satisfaction, community policeman familiarity rate, 110 alarm receiving and handling satisfaction, window service satisfaction, traffic accident handling evaluation index, case handling comprehensive evaluation index and 12345 hot line satisfaction; the hot spot problem module carries out label statistics on feedback hot spots, and the system generates hot spot problems fed back by people in specific units and time intervals in a self-service mode; the multidimensional analysis module performs crowd appeal analysis in an icon linkage mode through four dimensions of appeal form, service returning, specific problem and team management; the opinion plausibility module establishes a core interview database aiming at different groups and analyzes feedback opinions, and the opinion cloud searching module provides service for retrieving the evaluation information of the business masses.
The special study and judgment subsystem comprises a 110 special study and judgment module, a window service special study and judgment module, a traffic management special study and judgment module, a case special study and judgment module, a 12345 hotline special study and judgment module and a first-rate second-degree special study and judgment module; each module of the special research and judgment subsystem respectively inquires and analyzes research and judgment data of respective business in different units and different time periods through screening units and starting time.
The 110 special item studying and judging module studies and judges data including alarm receiving and processing satisfaction, 110 alarm receiving and processing hot words, gliding alarm situation types, alarm receiving and processing quantity of each unit and alarm receiving and processing centralized alarm situation types; the window service special item studying and judging module is used for studying and judging data and comprises a satisfaction ranking of each unit window, a return visit hot word of a window service crowd, a window service satisfaction trend and a window service work order quantity ranking; the traffic management special study and judgment module study and judgment data comprises the number of traffic alarms of each unit, the return visit satisfaction degree of the traffic alarms, the comprehensive evaluation of traffic accidents, the concentrated categories of the traffic accidents, the return visit satisfaction degree of the masses, the return visit hotwords of the masses and the arrangement of the satisfaction degrees of various traffic alarms; the case studying and judging module studies and judges data comprising the number of cases of each unit, the comprehensive evaluation index trend of the cases, the return visit hotwords of case masses, the case problem handling link occupation ratio, the case rows of injury types and financial invasion types and the hotspot requirements of the mass; the 12345 hot-line analysis and judgment data module is used for judging data, and comprises the work order quantity, the work order satisfaction degree, the hot event ranking and the appeal property ranking of each unit 12345.
The unit efficiency analysis files comprise the per-capita contribution of 110 selected units to receive police, window service work orders, case handling, temporary population registration and house renting registration; comprehensive evaluation information of the public police visit rate, the public security team satisfaction and the social security satisfaction of the community; police configuration information such as the number of policemen, the proportion of men and women, the average age, the number of policemen and the like, and name and department information of the policemen with the highest opinion.
The business analysis report comprises a return visit summary, index analysis, specific problem analysis and crowd hotword analysis of the selected policemen or units in a specified time period; the return visit summary comprises short messages, call return visit satisfaction and unsatisfied return visit specific information; the index analysis comprises the analysis of the trend of the civil index, the analysis of each classified service index and the early warning of a glide index; the specific problem analysis comprises the specific problem analysis of the folk 110 service, the hot word reply analysis of various service masses and the specific problem analysis of different service classes; the crowd hotword analysis comprises crowd hotword analysis of various services 110, reply hotword analysis of various services and word frequency statistics research and judgment analysis.
The comprehensive analysis report comprises a one-rate two-degree monitoring return visit condition, a 110 alarm receiving position monitoring data condition, a window service monitoring data condition, a case and traffic accident monitoring data condition and a 12345 hotline monitoring data condition. The first-rate and second-degree monitoring return visit condition comprises monitoring return visit general, social security satisfaction, public security team satisfaction and community policeman familiarity; the 110 alarm receiving and processing monitoring data condition comprises alarm condition monitoring return visit analysis and crowd appeal analysis; the window service monitoring data condition comprises a window service monitoring return visit condition and window service crowd appeal analysis; the case and traffic accident monitoring data conditions comprise case and traffic accident return visit overview, case handling and traffic accident handling; the 12345 hot line monitoring data profile includes a 12345 hot line monitoring revisit profile and a 12345 hot line crowd appeal analysis.
The civil real-time dynamic subsystem also provides civil real-time data display and real-time sensitive data early warning functions.
The civil synthesis application system displays the hot problem and the sub-level problems in the system in a word cloud mode through analysis of the appeal hot words. Meanwhile, the system supports real-time rolling display of the civil appeal, and viewing appeal time, affiliated bureaus and appeal details.
Has the advantages that: compared with the prior art, the invention has the following remarkable advantages: the method has the advantages that the method can accurately grasp the folk meaning, efficiently integrate data, break through the data barriers among departments and practically provide most real-time and comprehensive and considerable folk meaning data; common problems, outstanding problems and key problems in the law enforcement service are accurately and intuitively displayed in a data form, so that a direction is provided for law enforcement work; data visualization reflects civil hot spots and risk information, so that public security organs can prevent problems and guide and risk avoidance can be performed on the civil.
Drawings
FIG. 1 is a schematic diagram of the overall system of the present invention;
FIG. 2 is a schematic diagram of a schematic synthesis subsystem of the present invention;
FIG. 3 is a schematic diagram of a judgment subsystem according to the present invention;
FIG. 4 is a schematic diagram of a three-in-one subsystem of the present invention;
FIG. 5 is a schematic diagram of an intelligent reporting subsystem of the present invention;
FIG. 6 is a schematic diagram of the schematic real-time dynamic subsystem of the present invention.
Detailed Description
The technical scheme of the invention is further explained by combining the attached drawings.
As shown in fig. 1, a civil synthesis application system includes a civil synthesis, a special study, a three-in-one, an intelligent report, and a civil real-time dynamic subsystem.
As shown in fig. 2, the civil synthesis subsystem includes a civil index, a civil matrix, a hotspot problem, a multidimensional analysis, a civil position and a civil cloud search module, and displays the public appeal conditions related to social security satisfaction and public security team satisfaction in different areas.
The civil index module displays the social security satisfaction in different areas and the concentrated situation of the crowd appeal related to the public security team satisfaction in the form of thermodynamic diagrams, checks the scope of the district on the map and drills down, and is provided with a data analysis display panel corresponding to a unit.
The method comprises the steps of drilling down to a responsibility area level, displaying specific appeal point locations of people, viewing records in regional people appeal, viewing details of corresponding people appeal, viewing bottom hotspot problem analysis of the regional people appeal, displaying regional hotspot problems and problem early warning of specific responsibility area point location analysis, viewing specific problem records in the regional hotspot problems, enabling the corresponding point locations on a map to be orange, switching the business types to be window service types, displaying comprehensive satisfaction conditions of window services of each substation unit, viewing a district range, drilling down, and viewing a district range for returning. Looking at specific indexes, index analysis details can be popped up, and by selecting a tool, the tool type has 4 types: rectangle, circle, polygon, convenience of people circle. Take a "round" tool as an example: and selecting a circle, and completing circle drawing of a circular area on a map when a circle boundary is circled to a position with a proper size along with a mouse, and simultaneously displaying a point position in the area. The method comprises the steps that a record list of point locations circled in a circled area is displayed in a 'people area appeal' mode, information of corresponding position point locations pops up on a map, the problem of people appeal hot spots of the circled area is analyzed, a 'tool' is switched to a 'convenience service circle', a mouse is checked by moving the mouse on the map, the point locations are set in a self-service mode, a 'small red flag' can be inserted at a specific position on the map, then five-minute, ten-minute and fifteen-minute convenience service circle display is checked, corresponding window service handling points in the service circle display information of specific window service points, and the 'clearing' function of the upper left corner is used for clearing current circled information. Inputting names, telephones, labels and keywords in the upper left side search input box can screen related people appeal point location in a specific selection time period, the related people appeal point location is presented in a thermal diagram mode, red is a related appeal people concentration area, and specific people appeal point location information is presented in a drilling and returning viewing mode. The "reset" function is to return to the map initial state.
The folk meaning matrix analyzes specific numerical values and analysis of feedback satisfaction degrees of all people in specific unit time intervals through unit and time screening, and comprises the following steps: the social security satisfaction degree, the public security team satisfaction degree, the community policeman familiarity rate, the 110 alarm receiving and handling satisfaction degree, the window service satisfaction degree, the traffic accident handling evaluation index, the case handling comprehensive evaluation index and the 12345 hotline satisfaction degree are totally 8 types.
The civil meaning matrix module displays specific satisfaction degree numerical values, the satisfaction degrees of the same ratio and the ring ratio through unit and time screening, looks up specific indexes to perform corresponding index trend analysis and unit distribution analysis,
and selecting a 'department' state, selecting a corresponding business line unit, and displaying the statistical analysis of various indexes of the concerned business of a specific line in a time range.
The hot spot problem module is used for generating the hot spot problem fed back by the crowd in a specific unit and a time interval by the system in a self-service mode based on the tag statistics.
And the first 9 problems with concentrated crowd feedback are generated through unit and time screening. The problem types can be selected, and statistics display is carried out on three types of problems of business, problems and teams; "Business" is the hotspot problem of only showing business models; "question" is a hotspot question that only shows a question model; "team" is a hot spot problem that only shows the team model. Through the specific category of the annular graph, the unit selection is linked, and the unit on which the appeal of the specific category problem is concentrated is analyzed.
The multidimensional analysis module performs crowd appeal analysis in a chart linkage mode through four dimensions of appeal forms, service returning, specific problems and team management, and enters a self-service analysis mode of different types of labels by checking a specific analysis mode. By taking the annular diagram as a functional interaction main module, the drill-down can be performed by checking the specific category of the annular diagram, and meanwhile, the statistics is performed on the label analysis of other categories.
The opinion analysis method comprises the steps that a core interview evaluation library is established by the opinion analysis module, and analysis is conducted on opinion suggestions fed back by groups such as party representatives, people representatives, political committees, teachers of scientific research institutions, teachers of primary and secondary schools, financial industry personnel, medical staff and media reporters. And displaying the statistical quantity of the personnel accessing the appraisal library of each group and the quantity of the collected opinion suggestions, and entering the opinion suggestion analysis collected by a specific group by checking the name of the specific group.
The search contents of the civil cloud search module are divided into two types, namely searching the crowd archives and searching the work order. The method can search the evaluation information of the full-service crowd by searching the names, the telephones and the identity card numbers of the crowd; meanwhile, corresponding text contents can be input in a fuzzy matching mode, and corresponding work order information can be retrieved.
The evaluation information of the crowd full service is retrieved by inputting the crowd name, the mobile phone and the identity card number, the crowd evaluation information can be switched through the service type, the details are checked, the evaluation information is specifically checked, the solicited text containing the corresponding text content is retrieved by inputting the solicited text key words, each record is checked, and the specific record details are displayed.
As shown in FIG. 3, the project research and judgment subsystem includes 110 project research and judgment, window service project research and judgment, traffic management project research and judgment, 12345 hotline project research and judgment and one-rate two-degree project research and judgment modules. The special study and judgment subsystem focuses on specific service types and carries out special analysis aiming at the satisfaction degree of all service masses.
The 110 special study and judgment module is used for carrying out special analysis on the satisfaction degree of the 110 alarm receiving and handling public services. And inquiring 110 alarm receiving and processing service studying and judging data in different units and different time periods through unit screening and initial time screening. 110 receiving and processing alarm condition analysis of each type and each type linkage analysis of specific problems, 110 receiving and processing alarm satisfaction analysis and satisfaction time interval analysis of each type linkage analysis,
the window service special item studying and judging module is used for carrying out special analysis aiming at the satisfaction degree of window service public services. And inquiring window service research and judgment data of different units and different time periods through unit screening and initial time screening. The window service each service type satisfaction degree radar chart and each type of the specific problem analysis annular chart are linked with the specific problem unit distribution,
the special traffic management research and judgment is used for carrying out special analysis on traffic warning situations and the satisfaction degree of the public in traffic accident handling in traffic management. And inquiring traffic warning situations and traffic accident processing business studying and judging data in different units and different time periods through unit screening and initial time screening. The traffic police situation business type satisfaction degree radar chart and the specific problem analysis annular chart are in distribution linkage with specific problem units, and the traffic accident handling evaluation, the simple traffic accident handling evaluation, the general accident handling evaluation and the link problem annular chart are in various viewing linkage with the specific problem unit analysis.
The case special item studying and judging module inquires case handling business studying and judging data in different units and different time periods through unit screening and initial time screening. The comprehensive evaluation of the cases, the satisfaction degree radar maps of various service types and the checking of various types of link problem analysis annular maps are linked with the distribution of case problem units, and the case analysis checking of injury type and financial invasion type is 'analyzed' to carry out special analysis on the public hotspot appeal, and the first ten execution standard checking is carried out to carry out standard display.
The 12345 hot-line special study and judgment module inquires 12345 hot-line analysis study and judgment data appeal nature annular graphs in different units and different time periods through unit screening and initial time screening to perform linkage analysis with unit analysis, pop-up analysis of hot event ranking lists and pop-up analysis of hot topic displays.
The first-rate and second-degree special research and judgment module is used for carrying out special analysis and research and judgment on first-rate and second-degree services, wherein the special analysis and judgment comprise community policeman familiarity, public security team satisfaction and social security satisfaction. Through unit screening and initial time screening, one-rate and two-degree analysis and judgment data in different units and different time periods are inquired, specific numerical values of social security satisfaction, public security team satisfaction and community policeman familiarity are displayed, and data composition conditions are displayed. And (4) displaying analysis details of data of each month by one-rate two-degree trend analysis, switching business analysis annular diagram display and problem analysis column diagrams, and performing linkage analysis. The sample survey roses are switched according to different drawing types.
As shown in fig. 4, the three-in-one subsystem includes an entity performance analysis file module and a policeman law enforcement service file module, and the three-in-one subsystem mainly performs comprehensive analysis through aggregated folk meaning data, service data and team data to create an entity performance analysis file and a policeman law enforcement service file. By selecting the unit, the performance analysis files of different branch units are called, and by checking the local dispatching places in the branch files, the performance analysis files of the local dispatching places are checked. Meanwhile, a ranking list of the satisfaction degree of the policemen in law enforcement can be consulted, and the policemen law enforcement service file is called. Through time screening, various business satisfaction ranking lists of policemen in different time periods are selected, including a 110 receiving and processing alarm satisfaction ranking list, a window service satisfaction ranking list, a case handling satisfaction ranking list and a community civil alarm familiarity ranking list, list switching is carried out through switching of an exposure table and a good evaluation list, specific personnel in the 110 receiving and processing alarm and the case handling ranking list are checked, law enforcement service files of the personnel are checked, and specific policemen ranking conditions and file details are inquired through inputting names and police numbers in the list.
As shown in fig. 5, the intelligent reporting system includes a business analysis reporting module and a comprehensive analysis reporting module.
The business analysis report module is mainly used for pre-building a model aiming at 110 alarm receiving and handling, window service, case, traffic management, one-rate two-degree and 12345 hot-line business and generating an analysis report through checking a custom template. Selecting specific service types through a menu, selecting specific problem types in different service types, viewing report generation, displaying a currently generated report list, including word reports and picture reports (when only a single type of service is selected, a picture report exists), and previewing, downloading and deleting the report list.
The comprehensive analysis report module is mainly used for the idea 110 full-volume service, and comprises the following steps: 110 receiving and dealing with police, window service, case, traffic management, one-rate two-degree and 12345 hot line service, building a model in advance, and generating an analysis report by checking a custom template. The method can directly select specific problem types in different service types, check report generation, display a currently generated report list including word reports and picture reports, and can preview, download and delete the report list.
As shown in fig. 6, the civil real-time dynamic subsystem directly displays the civil convergence data and the civil analysis data.
The civil convergence data comprises the comprehensive data quantity utilized by the system, the sending quantity of the civil return visit short messages, the replying quantity of the civil return visit short messages, the calling quantity of the civil return visit calls, the hot line data quantity collected on the same day, the data quantity collected on the law enforcement public platform on the same day, the credit data quantity collected on the same day, the supervision complaint data quantity collected on the same day and the data quantity collected on the same day by the inspection department. The folk analysis data comprises a current real-time folk analysis index, today sensitive data early warning information, today folk words and the like.
And the civil real-time dynamic subsystem displays the quantity of various trend convergence in real time. In the page, the convergence state of the civil appeal shown in the form of a map is provided at the same time. The system displays the hot problems and the sub-level problems in the system in a word cloud mode through analysis of the appeal hot words. Meanwhile, the system supports real-time rolling display of the civil appeal, and viewing appeal time, affiliated bureaus and appeal details.
Claims (8)
1. A synthetic civil application system, comprising: the system comprises a civil synthesis subsystem, a special study and judgment subsystem, a three-in-one subsystem, an intelligent report subsystem and a civil real-time dynamic subsystem;
the civil synthesis subsystem shows the appeal conditions of the public in different areas on the social security satisfaction and the public security team satisfaction;
the special research and judgment subsystem carries out special analysis on the service satisfaction of various service crowds;
the three-in-one subsystem comprehensively analyzes the converged civil data, service data and team data to form an efficiency analysis file and a policeman law enforcement service file of each unit;
the intelligent report subsystem builds a model in advance, and generates a business analysis report and/or a comprehensive analysis report by checking a custom template;
the civil real-time dynamic subsystem displays the number of various trend convergence in real time and displays the convergence state of the civil appeal in the form of a map.
2. The civil composite application system of claim 1, wherein: the idea synthesis subsystem comprises an idea index, an idea matrix, a hotspot problem, a multi-dimensional analysis module, an idea place and an idea cloud search module; the system comprises a civil index module, a civil matrix module, a hotspot problem module, a multidimensional analysis module, a civil query analysis module, a civil cloud search module and a service cloud search module, wherein the civil index module shows the concentrated situation of the query in a thermodynamic diagram form, the civil matrix module analyzes crowd feedback in specific units and time periods through unit and time screening, the hotspot problem module performs tag statistics on feedback hotspots, the multidimensional analysis module performs the crowd query analysis from four dimensions of the query form, service returning, specific problems and team management in an icon linkage mode, the civil strategic location module establishes a core interview library aiming at different groups and analyzes feedback opinions, and the civil cloud search module provides service for retrieving service crowd assessment information.
3. The civil composite application system of claim 1, wherein: the special study and judgment subsystem comprises a 110 special study and judgment module, a window service special study and judgment module, a traffic management special study and judgment module, a case special study and judgment module, a 12345 hotline special study and judgment module and a first-rate second-degree special study and judgment module; each module of the special research and judgment subsystem respectively inquires and analyzes research and judgment data of respective business in different units and different time periods through screening units and starting time.
4. The civil composite application system of claim 1, wherein: the unit efficiency analysis files comprise the per-capita contribution of 110 selected units to receive police, window service work orders, case handling, temporary population registration and house renting registration; comprehensive evaluation information of the public police visit rate, the public security team satisfaction and the social security satisfaction of the community; police force configuration information and civil evaluation highest civil police name and department information.
5. The civil composite application system of claim 1, wherein: the business analysis report comprises a return visit summary, index analysis, specific problem analysis and crowd hotword analysis of the selected policemen or units in a specified time period.
6. The civil composite application system of claim 1, wherein: the comprehensive analysis report comprises a one-rate two-degree monitoring return visit condition, a 110 alarm receiving position monitoring data condition, a window service monitoring data condition, a case and traffic accident monitoring data condition and a 12345 hotline monitoring data condition.
7. The civil composite application system of claim 1, wherein: the civil real-time dynamic subsystem also provides civil real-time data display and real-time sensitive data early warning functions.
8. The civil composite application system of claim 1, wherein: the civil synthesis application system displays the hot problem and the sub-level problems in the system in a word cloud mode through analysis of the appeal hot words.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113674031A (en) * | 2021-08-30 | 2021-11-19 | 广州快决测信息科技有限公司 | System and method for analyzing net recommended value questionnaire data |
| CN113723747A (en) * | 2021-07-16 | 2021-11-30 | 北京房江湖科技有限公司 | Analysis report generation method, electronic device and readable storage medium |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105844573A (en) * | 2016-03-25 | 2016-08-10 | 杭州天夏科技集团有限公司 | Citizen service hot-line system |
| CN110955777A (en) * | 2019-12-11 | 2020-04-03 | 国网河北省电力有限公司电力科学研究院 | Method for improving customer service quality based on 95598 work order |
-
2020
- 2020-11-27 CN CN202011361343.2A patent/CN112488498A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105844573A (en) * | 2016-03-25 | 2016-08-10 | 杭州天夏科技集团有限公司 | Citizen service hot-line system |
| CN110955777A (en) * | 2019-12-11 | 2020-04-03 | 国网河北省电力有限公司电力科学研究院 | Method for improving customer service quality based on 95598 work order |
Non-Patent Citations (2)
| Title |
|---|
| 戴勇等: "大数据深度感知 全要素融合共治——南京公安"民意110"对智慧民意警务的探索与实践", 《公安教育》, no. 05, pages 20 - 22 * |
| 陈财安等: "数据挖掘技术在公安民意分析中的应用", 《福建电脑》, no. 11, pages 86 - 88 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113723747A (en) * | 2021-07-16 | 2021-11-30 | 北京房江湖科技有限公司 | Analysis report generation method, electronic device and readable storage medium |
| CN113674031A (en) * | 2021-08-30 | 2021-11-19 | 广州快决测信息科技有限公司 | System and method for analyzing net recommended value questionnaire data |
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