Data mining method and system for screening terrorist attack event criminal gangs

Abstract

The invention discloses a data mining method and system for screening terrorist attack event criminal gangs. Through Analysis of relevant data and Data cleaning, Data preprocessing is achieved throughdata conversion, data fusion is added to enrich relevant characteristics, then useful information is mined to construct a standardized data set, criminal gang division and classification are achievedthrough a subspace clustering method, and then the relevant relation between a terrorist attack event and the criminal gang is determined through a relevancy model, so that the terrorist attack earlywarning effect is achieved.

Description

technical field [0001] The present disclosure relates to the technical field of data analysis and mining, in particular to a data mining method and system for screening terrorist attack criminal gangs. Background technique [0002] The statements in this section merely enhance the background related to the present disclosure and may not necessarily constitute prior art. [0003] Since the 1990s, terrorist attacks of various scales have occurred in many parts of the world, with a tendency to spread rapidly around the world, reminding people that the threat of terrorism to mankind cannot be ignored. Therefore, the relevant security departments attach great importance to the collection of data on terrorist organizations and terrorist attacks and the construction of related databases. At the same time, a series of researches have been carried out on data mining based on related databases. [0004] Data mining is a process of automatically discovering useful information in a lar...

AI Technical Summary

Problems solved by technology

[0005] To sum up, it is beneficial to data mining technology to discover the correlation between terrorist attacks and criminal gangs, and to improve the performance of related models, but there is still a lack of effective solutions.

Images