Information interactive network-based criminal individual recognition method

Abstract

The invention belongs to the field of data mining, and relates to an information interactive network-based criminal individual recognition method. The method comprises the following steps of: (1) obtaining a data set which comprises criminal activity contents, and pre-processing the data set; (2) extracting keyword descriptions of criminal topics; (3) determining the number of subjects of a subject model LDA on the basis of perplexity; (4) extracting interactive subjects between individuals in the pre-processed data set on the basis of LDA, wherein the interactive subjects are as follows: an association probability matrix of the interactive subjects and keywords, and an association probability matrix of interactive edges of the interactive subjects; (5) calculating weights of the interactive edges; (6) calculating local criminal suspects of the individuals on the basis of a structure of a weighted information interactive network; and (7) calculating global criminal suspects of the individuals on the basis of a fuzzy K-means cluster and distance density cluster combined method, and recognizing the criminal individuals. The method is independent of prior information, and can be used for analyzing the most possible suspected person according to communication contents so that the case handling efficiency is improved.

Description

technical field [0001] The invention belongs to the field of data mining, and in particular relates to a criminal individual identification method based on an information interaction network. Background technique [0002] With the rapid development of information technology and databases, the amount of data has shown an exponential trend of explosive growth, but due to the lack of support mechanisms for analysis, decision-making, and forecasting, it has led to "data explosion and poor knowledge". Facing this To meet the challenges, data mining technology emerged as the times require, and more and more demonstrates its strong vitality. After years of continuous research and practice, data mining technology has integrated artificial intelligence, information retrieval, statistics, database technology, data visualization, oriented The latest research results in various fields such as object method, machine learning, neural network, etc. have gradually formed a unique research b...

AI Technical Summary

Problems solved by technology

[0006] In view of the above technical problems, the present invention aims to solve the problem of how to identify criminal individuals from the personnel communication network, and the specific technical solutions are as follows:

Images