信念ルールベース専門家システムによる犯罪多発地域の特定
Belief Rule Based Expert System to Identify the Crime Zones
信念ルールベースと専門家システムを組み合わせ、犯罪データセットから犯罪多発地域のパターンを抽出し、将来の犯罪発生を予測する手法を提案した論文。
著者: Abhijit Pathak, Abrar Hossain Tasin
分類: cs.AI, cs.RO, cs.SY, eess.SY
原文アブストラクト
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.