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

A data mining and risk early warning technology, applied in data processing applications, computer components, instruments, etc., can solve the problems of lack of solutions, lack of accurate and rapid risk early warning methods for terrorist attacks, etc., and achieve simple and effective implementation methods. The effect of improving usability, reducing difficulty and error

Inactive Publication Date: 2019-04-26
SHANDONG NORMAL UNIV
View PDF5 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] To sum up, there is a lack of accurate and rapid risk early warning me

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Event risk early warning method based on data mining, electronic equipment and medium
  • Event risk early warning method based on data mining, electronic equipment and medium
  • Event risk early warning method based on data mining, electronic equipment and medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0053] Such as figure 1 As shown, the event risk early warning method based on data mining includes:

[0054] Data acquisition steps: Obtain the recorded data of historical terrorist attacks and events to be tested; each event has a unique number; the recorded data includes: area, attack type, property damage amount, total number of injuries, total number of deaths, murderer Quantity, number of perpetrators captured, perpetrator deaths, summary of incident, outcome of hostage taking or resolution date of incident;

[0055] Data preprocessing step: Preprocessing the recorded data of historical terrorist attacks and events to be tested. The preprocessing steps include: data screening, data conversion, and data filling;

[0056] The data screening step is to eliminate data irrelevant to the present invention, such as event summary, hostage kidnapping result and event resolution date;

[0057] In the data conversion step, the characteristics such as the region where the terrorist ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06Q10/06G06Q50/26G06K9/62
CPCG06Q10/0635G06Q50/265G06F18/2135G06F18/23G06F18/24
Inventor 王红王彩雨赵丽丽王峰俞凤萍胡斌闫晓燕张伟
Owner SHANDONG NORMAL UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap