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针对惯犯的智能侦查研判模型研究

王斌君 蔡文哲

计算机应用与软件2016,Vol.33Issue(12):238-242,5.
计算机应用与软件2016,Vol.33Issue(12):238-242,5.DOI:10.3969/j.issn.1000-386x.2016.12.057

针对惯犯的智能侦查研判模型研究

RESEARCH ON MODEL OF SMART CRIME-INVESTIGATION AND JUDGEMENT FOR RECIDIVIST

王斌君 1蔡文哲1

作者信息

  • 1. 中国人民公安大学网络安全保卫学院 北京 102623
  • 折叠

摘要

Abstract

Under the background of “big data”,the investigation range of cases has been extended from original crime scene to generalised crime spatiotemporal scope in virtual space.Taking the generalised crime spatiotemporal theory as a guide and the generalised crime spatiotemporal model as the basis,we analysed and judged the activity traces of the suspects in a certain spatiotemporal scope.Since the activity traces of recidivists often have certain regularity,so by classifying their activity traces and studying the corresponding crime memberships,we built the crime model of the recidivists.Then we calculated respectively the crime memberships of the suspects before and after the occurrence of criminal case.Finally,we integrated two crime memberships to calculate the comprehensive crime membership of the suspects and then further concluded the suspects list,thus provided the scientific basis for investigators to further carry out the targeted fishing expedition and troubleshooting.The research on the model provides a new idea for crime-investigation,as well as the theoretical support for the relevant informatisational crime-investigation systems.

关键词

泛犯罪时空模型/犯罪隶属度/智能侦查/数字足迹

Key words

Generalised crime spatiotemporal model/Crime membership/Smart crime-investigation/Digital footprints

分类

信息技术与安全科学

引用本文复制引用

王斌君,蔡文哲..针对惯犯的智能侦查研判模型研究[J].计算机应用与软件,2016,33(12):238-242,5.

基金项目

公安部公安理论与软科学基金项目(2013LLYJGADX003)。 ()

计算机应用与软件

OACSTPCD

1000-386X

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