data_8.txt

Constructed dataset used in project on AI in criminal justice based on a predictive approach to threat detection. The parameters used to construct this dataset are as follows:[Dataset , Cardinality , (Number of Samples) , 2-Dimensions , Construction Rules , Classification , Threat Criterion , LEN(X)]: [D , 51 , TRA, NET , B , ≥ 7]Where: FIN = Financial transactions: Unusual financial activities; TRA = Travel patterns: Frequent travel to regions known for drug production or terrorist activity; NET = Associations and networks: Connections with individuals or organizations known for drug trafficking or terrorist affiliations; DOC = Document authenticity: Possession of forged or altered travel documents. All parameters are described in the study paper under review for publication.<br>

本数据集为面向刑事司法领域人工智能项目、基于威胁检测预测方法所构建的专用数据集。该数据集的构建参数如下：[数据集、基数（样本数量）、二维维度、构建规则、分类、威胁判定标准、LEN(X)]：[D、51、TRA、NET、B、≥7]。其中：FIN指代金融交易（Financial transactions），即异常金融活动；TRA指代出行模式（Travel patterns），即频繁前往已知制毒或恐怖活动高发地区的出行轨迹；NET指代关联关系与社交网络（Associations and networks），即与已知贩毒团伙或恐怖组织相关的个人或组织存在关联；DOC指代文件真实性（Document authenticity），即持有伪造或变造的旅行证件。所有参数的详细说明均刊载于待发表的研究论文中。