메뉴 건너뛰기




Volumn 20, Issue 2, 2011, Pages 349-366

An integrated framework for suspect investigation

Author keywords

crime investigation; decision support system; Integrated reasoning systems; knowledge based system methodology; suspect investigation

Indexed keywords

CRIME INVESTIGATION; DECISION SUPPORTS; INTEGRATED REASONING SYSTEMS; KNOWLEDGE-BASED-SYSTEM METHODOLOGY; SUSPECT INVESTIGATION;

EID: 79955443443     PISSN: 02182130     EISSN: None     Source Type: Journal    
DOI: 10.1142/S021821301100019X     Document Type: Article
Times cited : (4)

References (28)
  • 4
    • 51249166780 scopus 로고
    • Juvenile involvement in multiple offender and multiple victim parricides
    • K. M. Heide, Juvenile involvement in multiple offender and multiple victim parricides, Journal of Police and Criminal Psychology 9(2) (1993) 53-64.
    • (1993) Journal of Police and Criminal Psychology , vol.9 , Issue.2 , pp. 53-64
    • Heide, K.M.1
  • 5
    • 0036185072 scopus 로고    scopus 로고
    • Risk of multiple-offender rape-murder varies with female age
    • T. K. Shackelford, Risk of multiple-offender rape-murder varies with female age, Journal of Criminal Justice 30(2) (2002) 135-141.
    • (2002) Journal of Criminal Justice , vol.30 , Issue.2 , pp. 135-141
    • Shackelford, T.K.1
  • 9
    • 34249761849 scopus 로고
    • Learning bayesian networks: The com- bination of knowledge and statistical data
    • D. Heckerman, D. Geiger, and D. Chickering, Learning bayesian networks: The com- bination of knowledge and statistical data, Machine Learning 20 (1995) 197-243.
    • (1995) Machine Learning , vol.20 , pp. 197-243
    • Heckerman, D.1    Geiger, D.2    Chickering, D.3
  • 10
    • 34249832377 scopus 로고
    • A bayesian method for the induction of probabilistic networks from data
    • G. F. Cooper and E. Herskovits, A Bayesian Method for the Induction of Probabilistic Networks from Data, Machine Learning 9 (1992) 309-347.
    • (1992) Machine Learning , vol.9 , pp. 309-347
    • Cooper, G.F.1    Herskovits, E.2
  • 11
    • 51149091221 scopus 로고    scopus 로고
    • Constructing Bayesian networks for criminal profiling from limited data
    • K. Baumgartner, S. Ferrari and G. Palermo, Constructing Bayesian networks for criminal profiling from limited data, Knowledge-Based Systems 21(7) (2008) 563-572.
    • (2008) Knowledge-Based Systems , vol.21 , Issue.7 , pp. 563-572
    • Baumgartner, K.1    Ferrari, S.2    Palermo, G.3
  • 12
    • 0022680851 scopus 로고
    • An assumption-based TMS
    • J. De Kleer, An assumption-based TMS, Artificial Intelligence 28(2) (1986) 127-162.
    • (1986) Artificial Intelligence , vol.28 , Issue.2 , pp. 127-162
    • De Kleer, J.1
  • 13
    • 0022680108 scopus 로고
    • Extending the ATMS
    • J. De Kleer, Extending the ATMS, Artificial Intelligence 28(2) (1986) 163-196.
    • (1986) Artificial Intelligence , vol.28 , Issue.2 , pp. 163-196
    • De Kleer, J.1
  • 14
    • 0022677462 scopus 로고
    • Problem solving with the ATMS
    • J. De Kleer, Problem Solving with the ATMS, Artificial Intelligence 28(2) (1986) 197-224.
    • (1986) Artificial Intelligence , vol.28 , Issue.2 , pp. 197-224
    • De Kleer, J.1
  • 15
    • 0018544688 scopus 로고
    • A truth maintenance system
    • J. Doyle, A Truth Maintenance System, Artificial Intelligence 12(3) (1979) 231-272.
    • (1979) Artificial Intelligence , vol.12 , Issue.3 , pp. 231-272
    • Doyle, J.1
  • 16
    • 34548031390 scopus 로고    scopus 로고
    • Towards qualitative approaches to Bayesian evidential reasoning
    • DOI 10.1145/1276318.1276322, Eleventh International Conference on Artificial Intelligence and Law, Proceedings
    • J. Keppens, Towards qualitative approaches to bayesian evidential reasoning in Proceedings of the 11th International Conference on Artificial Intelligence and Law (2007), pp. 17-25. (Pubitemid 47281655)
    • (2007) Proceedings of the International Conference on Artificial Intelligence and Law , pp. 17-25
    • Keppens, J.1
  • 17
    • 70450172190 scopus 로고    scopus 로고
    • A scenario-driven decision support system for serious crime investigation
    • Q. Shen, J. Keppens, C. Aitken, B. Schafer, and M. Lee, A scenario-driven decision support system for serious crime investigation, Law, Probability and Risk 5(2) (2007) 87-117.
    • (2007) Law, Probability and Risk , vol.5 , Issue.2 , pp. 87-117
    • Shen, Q.1    Keppens, J.2    Aitken, C.3    Schafer, B.4    Lee, M.5
  • 19
    • 48749091202 scopus 로고    scopus 로고
    • Network models of criminal behavior: Comparing Bayesian and neural networks for decision support in criminal investigations
    • S. Ferrari, K. C. Baumgartner, G. Palermo, R. Bruzzone, and M. Strano, Network models of criminal behavior: Comparing Bayesian and neural networks for decision support in criminal investigations, IEEE Control Systems Magazine 28(4) (2008) 65-77.
    • (2008) IEEE Control Systems Magazine , vol.28 , Issue.4 , pp. 65-77
    • Ferrari, S.1    Baumgartner, K.C.2    Palermo, G.3    Bruzzone, R.4    Strano, M.5
  • 20
    • 0038205937 scopus 로고    scopus 로고
    • The role of criminal profiling in the computer forensics process
    • M. Rogers, The role of criminal profiling in the computer forensics process, Computers and Security 22(4) (2003) 292-298.
    • (2003) Computers and Security , vol.22 , Issue.4 , pp. 292-298
    • Rogers, M.1
  • 21
    • 50949092866 scopus 로고    scopus 로고
    • A compound framework for sports results prediction: A football case study
    • B. Min, J. Kim, C. Choe, H. Eom, and R.I. McKay, A compound framework for sports results prediction: A football case study, Knowledge-Based Systems 21(7) (2008) 551-562.
    • (2008) Knowledge-Based Systems , vol.21 , Issue.7 , pp. 551-562
    • Min, B.1    Kim, J.2    Choe, C.3    Eom, H.4    McKay, R.I.5
  • 22
    • 33745446430 scopus 로고    scopus 로고
    • How to secure a high quality knowledge base in a rule-based system with uncertainty?
    • B. M. Jankowska, How to secure a high quality knowledge base in a rule-based system with uncertainty?, International Journal of Applied Mathmatics and Computer Science 16(2) (2006) 251-262. (Pubitemid 43950683)
    • (2006) International Journal of Applied Mathematics and Computer Science , vol.16 , Issue.2 , pp. 251-262
    • Jankowska, B.M.1
  • 24
    • 2942517896 scopus 로고    scopus 로고
    • What makes a good alibi? A proposed taxonomy
    • DOI 10.1023/B:LAHU.0000022320.47112.d3
    • E. A. Olson and G. L. Wells, What makes a good alibi? A proposed taxonomy, Law and Human Behavior 28(2) (2004) 157-176. (Pubitemid 39005587)
    • (2004) Law and Human Behavior , vol.28 , Issue.2 , pp. 157-176
    • Olson, E.A.1    Wells, G.L.2
  • 25
    • 0004071866 scopus 로고    scopus 로고
    • Computer file, Complied by Northeastern University, College of Criminal Justice, ICPSR ed. Ann Arbor, MI: Inter-University Consortium for Political and Social Research
    • J. A. Fox, Uniform Crime Reports [United States]: Supplementary Homicide Reports, 1976-2002 [Computer file], Complied by Northeastern University, College of Criminal Justice, ICPSR ed. Ann Arbor, MI: Inter-University Consortium for Political and Social Research (2005)
    • (2005) Uniform Crime Reports [United States]: Supplementary Homicide Reports, 1976-2002
    • Fox, J.A.1
  • 26
    • 79955401684 scopus 로고    scopus 로고
    • retrieved on 2009-05-01
    • JESS, http://www.jessrules.com, retrieved on 2009-05-01.
    • JESS
  • 27
  • 28
    • 79955387637 scopus 로고    scopus 로고
    • retrieved on 2009-07-03
    • Weka Library (version 3.7.0), http://www.cs.waikato.ac.nz/ml/weka/, retrieved on 2009-07-03.
    • Weka Library (Version 3.7.0)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.