论文标题
基于信仰规则的专家系统来识别犯罪区
Belief Rule Based Expert System to Identify the Crime Zones
论文作者
论文摘要
本文重点介绍犯罪区的身份证明。然后，它阐明了我们如何进行信仰规则基础算法来为犯罪热点产生有趣的频繁模式。该论文还展示了我们如何使用专家系统来预测潜在的犯罪类型。为了进一步分析犯罪数据集，本文通过将我们对吉大港犯罪数据集的发现与人口统计信息相结合，以捕获可能影响邻里安全的因素，从而介绍了一项分析研究。该解决方案的结果可用于提高对危险位置的认识，并帮助机构在特定时间内预测特定位置的未来犯罪。
This paper focuses on Crime zone Identification. Then, it clarifies how we conducted the Belief Rule Base algorithm to produce interesting frequent patterns for crime hotspots. The paper also shows how we used an expert system to forecast potential types of crime. In order to further analyze the crime datasets, the paper introduces an analysis study by combining our findings of the Chittagong crime dataset with demographic information to capture factors that could affect neighborhood safety. The results of this solution could be used to raise awareness of the dangerous locations and to help agencies predict future crimes at a specific location in a given time.
