A Data Mining System for Terrorist Attacks

Abstract

The present disclosure discloses a data mining method for terrorist attack events. The historical data of each historical event is processed to obtain several historical data points; the data to be measured of the event to be predicted is processed to obtain the data points to be measured; Perform dimensionality reduction processing on all historical data points; perform subspace clustering on the results after dimensionality reduction processing, and obtain historical data clusters of different dimensions through subspace clustering; calculate the data points to be measured and each data in the historical data clusters The distance between objects, the distance from the data point to be tested to the nearest data object in the corresponding cluster is taken as the distance from the data point to be tested to the cluster, if the distance from the data point to be tested to the cluster is within the set range, then The matching is successful, otherwise the matching fails; finally, for the data points to be tested that are successfully matched, they are sorted according to the distance from the data points to be tested to the clusters from small to large, and the names of the criminal gangs of the top M historical events are used as output values output.

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. [0004] Data mining is a process of automatically discovering useful information in a large data repository, generally including data preprocessing, data mining and postprocessing. At present, there are many applications of data ...

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, and there is still a lack of effective solutions.

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