Researsh And Application Of Data Mining In Police System

With the rapid development of our social economy,as well as the increasing improvement of the national level,at the stage of social transformation period of our country appeared all kinds of new type of crime,crime is moving toward modernization,intelligent,informatization,organized,collectivization direction,using high-tech crime cases occur repeatedly,investigation personnel to bring great challenge to our country public security organ.How to utilize the existing data information of public security system,through the data analysis to obtain valuable clues to solve case,provide a reference for cases,criminal behavior prediction,is the public security system needs to solve the problem.This paper mainly introduced the application of data mining technology in the public security system,the public security organ of the existing information system with OA office system,case analysis system,the criminal suspect information system,function module of information system for residents,on the basis of the integration of data mining algorithm,and realize the analysis of characteristics of information mining,criminal cases,criminal behavior prediction,etc.Paper based on data mining algorithm of association rules are studied,according to the shortcomings of traditional algorithm improved algorithm is put forward,and design cases verify the feasibility of optimization algorithm;Data classification method based on decision tree are analyzed,aiming at the problems of the method in the public security system,puts forward the improved ID3 optimization algorithm of coefficient of experts,the publicsecurity system application case computation results can be compared to verify the effectiveness of the ID3 algorithm based on expert coefficient.Finally,designed and implemented the public security system based on data mining technology.The main work done in this paper has the following three points:(1)In view of the historical lack of an association rule data mining algorithm,based on dynamic frequent itemsets Apriori algorithm and Apriori optimization algorithm based on weight parameters,criminal cases data analysis through the design of the public security system,compares the computation results before and after optimization,confirmed the feasibility of the optimization algorithm.The optimized algorithm to avoid the disadvantages of conventional algorithm,to improve the computing speed of data mining;(2)Based on decision tree ID3 data classification algorithms are studied,combined with the public security system application existence insufficiency,proposed the optimized ID3 algorithm based on coefficient of experts,the public security system application case analysis of ID3 algorithm differences before and after optimization,confirmed that the optimized algorithm is more efficient in data classification,computation precision is superior to the conventional ID3 algorithm;(3)Using C/S structure,SQL Server2005 database,using C # programming language,designed and implemented based on data mining technology of the public security system,the system has the data preprocessing online processing and data mining,OLAP three layer data analysis function,the user can choose according to demand data analysis module.