Applying case-based reasoning and expert systems to coastal patrol crime investigation in Taiwan

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Abstract

Enhanced decision-making quality of crime investigation can ensure effective implementation of a nation's law-enforcement tasks across the board and contribute positively to its overall security and development. This study proposes the idea of applying case-based reasoning (CBR) and experts systems (ES) in conjunction with computer-assisted instruction (CAI) to crime investigation. It delves into illegal smuggling of immigrants in coastal patrol for case studies. Ocean territory law enforcement is the cornerstone of national security. Effective ocean territory law enforcement helps enhance overall national security and development. This study takes issues regarding illegal smuggling of immigrants found in coastal patrol as subject of case studies. It classifies and analyzes patterns of illegal smuggling for the purpose of establishing a crime investigation system (CIS) against illegal smuggling. © 2008 Springer-Verlag Berlin Heidelberg.

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APA

Chang, C. C., & Hua, K. H. (2008). Applying case-based reasoning and expert systems to coastal patrol crime investigation in Taiwan. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5075 LNCS, pp. 161–170). https://doi.org/10.1007/978-3-540-69304-8_17

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