兵工自动化2024，Vol.43Issue(12)：70-73,4.DOI:10.7690/bgzdh.2024.12.015
基于数据挖掘算法的犯罪相同特征向量集仿真
Simulation of Criminal Same Feature Vector Set Based on Data Mining Algorithms
摘要
Abstract
In order to improve the accuracy of crime data mining and effectively combat crime,a data mining algorithm based on the same crime characteristics is proposed.Based on the public security system database,through data preprocessing,a set of data vectors with the same criminal characteristics are obtained for information clustering.The approximate relationship is obtained through the fuzzy set,and the fuzzy set is transformed into a determined objective function according to the Bayesian formula.Based on the objective function,the data set is divided into groups with smaller differences to obtain data mining results.The experimental results show that the algorithm has greatly improved accuracy and reliability in data mining of criminal features.关键词
相同犯罪特征/数据挖掘/算法可靠性Key words
same criminal characteristics/data mining/algorithm reliability分类
信息技术与安全科学引用本文复制引用
李凌君..基于数据挖掘算法的犯罪相同特征向量集仿真[J].兵工自动化,2024,43(12):70-73,4.基金项目
陕西省教育厅专项科学研究项目(18JK0961) （18JK0961）
陕西省教育厅一般专项科学研究项目(20JK0066) （20JK0066）
