Data analysis of public food safety cases based on Apriori - 文章详情页

作者：

Bu, Kun (Bu, Kun.) | Li, Xiaoli (Li, Xiaoli.) (学者：李晓理) | Wang, Kang (Wang, Kang.) | Li, Yang (Li, Yang.)

收录：

EI Scopus

摘要：

With　the　development　of　public　security　information　system,　a　large　number　of　food　safety　cases　are　stored　in　the　database.　This　study　uses　the　HMM　model　and　the　Viterbi　algorithm　as　text　processing　technologies.　We　downloaded　3555　food　safety　criminal　judgments,　Chinese　word　segmentation　is　an　effective　way　to　deal　with　them.　We　can　find　the　high　frequency　words　after　processing　the　segmentation　results,　the　key　words　of　the　case　were　extracted,　such　as　the　name　and　carrier　of　harmful　food　additives,　the　crime　time　and　the　crime　place.　The　Apriori　algorithm　is　used　to　analyze　the　internal　rules　of　common　food　safety　cases,　which　has　certain　reference　significance　for　combating　and　preventing　food　safety　crimes.　©　2020　IEEE.

关键词：

Viterbi algorithm Food safety Additives Text processing Crime

作者机构：

[ 1 ] [Bu, Kun]Beijing University of Technology, Faculty of Information Technology, 100124, China
[ 2 ] [Li, Xiaoli]Beijing University of Technology, Faculty of Information Technology, 100124, China
[ 3 ] [Li, Xiaoli]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing; 100124, China
[ 4 ] [Li, Xiaoli]Engineering Research Center of Digital Community, Ministry of Education, Beijing University of Technology, Beijing; 100124, China
[ 5 ] [Wang, Kang]Beijing University of Technology, Faculty of Information Technology, 100124, China
[ 6 ] [Li, Yang]School of International Studies, Communication University of China (CUC), Beijing; 100024, China

通讯作者信息：

李晓理
[li, xiaoli]engineering research center of digital community, ministry of education, beijing university of technology, beijing; 100124, china;;[li, xiaoli]beijing key laboratory of computational intelligence and intelligent system, beijing advanced innovation center for future internet technology, beijing university of technology, beijing; 100124, china;;[li, xiaoli]beijing university of technology, faculty of information technology, 100124, china

电子邮件地址：

lixiaolibjut@bjut.edu.cn

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