Data mining method for terrorist attack events

Abstract

The invention discloses a data mining method for terrorist attack events. The data mining method comprises the following steps: processing historical data of each historical event to obtain a plurality of historical data points; Processing the to-be-tested data of the to-be-predicted event to obtain a to-be-tested data point; Carrying out dimension reduction processing on all the obtained historical data points; Carrying out subspace clustering on the result after dimension reduction processing, and obtaining historical data class clusters with different dimensions through subspace clustering;Calculating the distance between the to-be-tested data point and each data object in the historical data class cluster, taking the distance between the to-be-tested data point and the nearest data object in the corresponding class cluster as the distance between the to-be-tested data point and the class cluster, if the distance between the to-be-tested data point and the class cluster is within aset range, indicating that the matching is successful, otherwise, indicating that the matching fails; And finally, aiming at the successfully matched to-be-tested data points, sorting the to-be-tested data points according to the distances from the to-be-tested data points to the class cluster from small to large, and outputting the gang names of the crime groups of the former M historical eventsas output values.

Description

technical field [0001] The present disclosure relates to the technical field of data analysis and mining, in particular to a data mining method for terrorist attacks. 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 large data repository, generally inclu...

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.

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