Event risk early warning method based on data mining, electronic equipment and medium

Abstract

The invention discloses an event risk early warning method based on data mining, electronic equipment and a medium. The event risk early warning method comprises the following steps: acquiring recorddata of a historical terrorist attack event and a to-be-tested event; Preprocessing the record numbers of the historical terrorist attack events and the to-be-tested events; Classifying the data obtained after data preprocessing by adopting a clustering algorithm, and dividing the data into a plurality of types of data; Extracting a plurality of features from each type of data by adopting a principal component analysis algorithm; Performing feature integration on all features extracted from all classes of data to obtain a feature set; Extracting a plurality of index features from the feature set by adopting a principal component analysis algorithm; Calculating the weight of each index feature by adopting an improved entropy weight method; And for the characteristic value of each index characteristic of each event, carrying out weighted calculation by adopting a corresponding weight, sorting calculation results from large to small, outputting a sorting sequence number of the to-be-tested event in all sorts as a result, and if the sorting sequence number is smaller than a set threshold value, sending out an early warning signal.

Description

technical field [0001] The present disclosure relates to the field of data mining, in particular to an event risk early warning method, electronic equipment and media based on data mining. 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] At present, terrorist attacks refer to attacks artificially created by extremists or organizations, targeting but not limited to civilians and civilian facilities, and not in line with international morality. Casualties and property losses, but also bring huge psychological pressure to people, causing a certain degree of social turmoil, hindering the normal work and life order, and greatly hindering economic development. [0004] The usual grading generally adopts a subjective method, and the authoritative organization or department selects several main indicators and stipulates mandatory grading standards. Howe...

AI Technical Summary

Problems solved by technology

[0005] To sum up, there is a lack of accurate and rapid risk early warning methods for terrorist attacks, and there is still a lack of effective solutions

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