Design and Application of Criminal Investigation DSS Based on Case Reasoning

Author

Liang Chen

Author_Institution

Dept. of policing Intell., China people´s public security Univ., Beijing, China

fYear

2010

fDate

27-28 Nov. 2010

Firstpage

1

Lastpage

5

Abstract

Expert knowledge in the criminal investigation area is mostly empirical and tacit, which brings great difficulties to construct criminal investigation decision support system (CIDSS). Case-based reasoning (CBR) is a kind of incremental learning method that records successful-solved cases with their experiences to effectively overcome the bottleneck of knowledge acquisition and be helpful to solve similar crime problems. From the actual demands of police force, author designs a framework of CIDSS based on case reasoning, and discusses its function, process, and technical points, so as to provide a feasible tool for criminal investigation, crisis intervention and early warning.

Keywords

case-based reasoning; decision support systems; law administration; learning (artificial intelligence); case-based reasoning; criminal investigation DSS; decision support system; expert knowledge; incremental learning method; Analytical models; Cognition; Data models; Decision support systems; Indexes; Libraries;

fLanguage

English

Publisher

ieee

Conference_Titel

Database Technology and Applications (DBTA), 2010 2nd International Workshop on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-6975-8

Electronic_ISBN

978-1-4244-6977-2

Type

conf

DOI

10.1109/DBTA.2010.5659104

Filename

5659104