野生动物非法交易犯罪案件信息特征分析

对野生动物非法交易案件进行信息特征分析,可以把握案件的发生规律,提供决策者参考,以便有针对性预防和打击犯罪,更好地保护野生动物资源。本研究应用大数据分析的方法,对野生动物非法交易犯罪案件的文本数据进行结构化处理,建立了word2vec模型。从犯罪因素的角度统计分析了本类案件的信息特征,包括侵害人的特征、作案行为特征、侵害的动物或动物制品、侵害的时间和案件发生的地点等。在梳理基本特征的基础上应用关联算法构建了关联规则。根据特征分析和关联规则,提出了开展季节性防控、对特定群体和场所进行有针对性预防、对上游下游犯罪进行联动打击、与网管等多部门合作,运用现代科技成果进行打击和防范的对策建议。

Characteristics of Illegal Wildlife Trade Cases

Analyzing the characteristics of illegal wildlife trade cases can help to describe the regularity of the cases and to provide policy makers with references for combatting crimes in a targeted manner,leading to better protection of wildlife resources.In this study,the big data analysis method was used to establish a word2vec model by structuring the text data compiled from illegal wildlife trade cases.I statistically analyzed many case characteristics,including the characteristics of the infringer,species of traded animals(or animal products),time of infringement,and the location of the cases.Based on these characteristics I constructed association rules by use of an association algorithm.Using the characteristic analysis and association rules,I put forward proposals to carry out seasonal prevention and control,targeted prevention of specific groups and places,joint attack on upstream and downstream crimes,cooperation with network management and other departments,and use of modern scientific and technological achievements to provide relevant guidelines.