Group discovery method in police information industry

Abstract

The invention discloses a group discovery method in police information industry. According to the method, firstly, data is subjected to data extraction, conversion and loading; an Hash table is used for storing co-concurrence data; the conversion of structured data to semi-structured data is realized; then, noise data is filtered; multi-dimensional co-concurrence data is merged to build a key atlas; the conversion from the semi-structured data to the non-structured data is realized; finally, social network analysis is performed on the key atlas; an on-map parallel clustering algorithm is used for obtaining member relationship inside groups and between groups, and is shown by a direct viewing mode of a pattern structure. The group discovery method provided by the invention has the advantages that the behavior feature data of individuals is used; a co-concurrence relationship ideal is used for building the key atlas; the on-map clustering analysis is performed; the key contact persons of a plurality of groups or between the groups can be discovered from the behavior feature data of individuals; the auxiliary support is provided for police information analysis.

Description

technical field [0001] The invention belongs to the technical field intersecting big data analysis and machine learning, and more specifically relates to a group discovery method in the public security intelligence industry. Background technique [0002] The public security intelligence industry often needs to conduct accurate and effective analysis of the internal and inter-group relationships of criminal gangs, and most criminals and petitioners show a high degree of correlation and gang nature. Although the existing work model of the public security organs has basically realized an information platform, the division of labor between multiple departments is too detailed, and the connections between departments and within departments are not close, which will affect the efficiency and quality of intelligence information research and judgment. It will be difficult to present the potential relationship between the cases to the intelligence analysts in a simple and clear manne...

AI Technical Summary

Problems solved by technology

Although the existing work model of the public security organs has basically realized an information platform, the division of labor between multiple departments is too detailed, and the connections between departments and within departments are not close, which will affect the efficiency and quality of intelligence information research and judgment. It is difficult to present the potential relationship between cases to the intelligence researchers and judges in a simple and clear manner, resulting in the inability to fully utilize and mine the data generated and collected by the existing business system

[0003] Most of the existing social network clustering is based on people's attributes, social account attention, etc., and it is not suitable for public security intelligence business scenarios that also pay close attention to people's behavior characteristics. The technology of data analysis is applied in actual business to improve the utilization rate of data and obtain potential related information

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