data_9.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)]: [B , 49 , TRA, NET , A , ≥ 4]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>

本数据集应用于基于威胁检测预测方法的刑事司法人工智能研究项目，为该项目所构建。该数据集的构建参数如下：[数据集、基数（样本数量）、二维特征维度、构建规则、分类任务、威胁判定标准、特征矩阵长度LEN(X)]：[B、49、TRA、NET、A、≥4]
其中：FIN代表金融交易（Financial transactions），指代异常金融活动；TRA代表出行模式（Travel patterns），指代频繁前往已知毒品生产地区或恐怖活动频发区域的行为；NET代表关联关系与社交网络（Associations and networks），指代与已知从事毒品贩运或具有恐怖主义关联的个人或组织存在联系的情况；DOC代表证件真实性（Document authenticity），指代持有伪造或变造的旅行证件的情形。
所有参数的详细说明均见于正在投稿待发表的研究论文中。