Network Models of Criminal Behavior

IEEE Control Systems

Volumn 28, Issue 4, 2008, Pages 65-77

  Bruzzone, Roberta ^a   Strano, Marco ^b   Palermo, George ^c   Baumgartner, Kelli C ^d   Ferrari, Silvia ^e  

^a International Crime Analysis Association (icaa)   (United States)

^b Catholic University   (United States)

^c MARQUETTE UNIVERSITY   (United States)

^d EMBRY RIDDLE AERONAUTICAL UNIVERSITY   (United States)

^e PRINCETON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; INFERENCE ENGINES; KNOWLEDGE BASED SYSTEMS; MATHEMATICAL MODELS; NEURAL NETWORKS;

BAYESIAN-NETWORK MODELS; BEHAVIORAL MODELING; ENVIRONMENTAL VARIABLES; KNOWLEDGE BASED SYSTEMS; MATHEMATICAL REPRESENTATIONS; MULTIDIMENSIONAL (MD); NETWORK MODELLING; PSYCHOLOGICAL CHARACTERISTICS;

LAW ENFORCEMENT;

EID: 48749091202     PISSN: 1066033X     EISSN: None     Source Type: Journal    
DOI: 10.1109/MCS.2008.924037     Document Type: Article

References (34)

1. M. Strano, “A neural network applied to criminal psychological profiling: An Italian initiative,” Int. J. Offender Therapy Comparative Criminology, vol. 48, no. 4, pp. 495–503, 2004.
2. Bureau of Justice Statistics, Crime Data 2003 [Online]. Available: http: / / www.fbi.gov/ucr/ ucr.htm
3. S.A. Egger, “Psychological profiling: Past, present, and future,” J. Contem-porary Criminal Justice, vol. 15, no. 3, pp. 242-261,1999.
4. M. Rogers, “The role of criminal profiling in the computer forensic process,” Computers Securities, vol. 22, no. 4, pp. 292-298,2003.
5. B. Turvey, Criminal Profiling: An Introduction to Behavioral Evidence Analysis. New York: Academic, 1999.
6. D. Canter, The Psychology of Place. London: Architectural Press, 1977.
7. D. Canter and R. Heritage, “A multivariate model of sexual offense behavior: Developments in offender profiling,” J. Forensic Psychiatry, vol. 1, no. 2, pp. 185-212,1989.
8. D. Canter, Criminal Shadows. New York: HarperCollins, 1994.
9. R.K. Ressler, A. Burgess, and J.E. Douglas, Sexual Homicide: Patterns and Motives. New York: Lexington Books, 1988.
10. R.N. Kocsis, R.W. Cooksey, and J.I. Harvey “Psychological profiling of sexual murders: An empirical model,” Int. J. Offender Therapy and Comparative Criminology, vol. 46, no. 5, pp. 532–554, 2002.
11. P. Santtila, H. Hakkanen, D. Canter, and T. Elfgren, “Classifying homicide offenders and predicting their characteristics from crime scene behavior,” Scandinavian J. Psychol., vol. 44, pp. 107-118,2003.
12. C.G. Salfati, “Offender interaction with victims in homicide: A multidimensional analysis of frequencies in crime scene behavior,” J. Interpersonal Violence, vol. 18, no. 5, pp. 490–512, 2003.
13. D.K. Rossmo, Geographic Profiling. Boca Raton, FL: CRC, 2000.
14. G.B. Palermo and R.N. Kocsis, Offender Profiling: An Introduction to the Sociopsychological Analysis of Violent Crime. Springfield, IL: Charles C. Thomas, 2004.
15. L. Alison, C. Bennell, and D. Ormerod, “The personality paradox in offender profiling: A theoretical review of the process involved in deriving background characteristics from crime scene actions,” Psychol., Public Policy, and Law. vol. 8, no. 1, pp. 115–135, 2002.
16. B.E. Turvey, “The impressions of a man: An objective forensic guideline to profiling violent serial sex offenders,” 1997 [Online]. Available: http: / / www.corpus-delicti.com
17. B.E. Turvey, Criminal Profiling: An Introduction to Behavioral Evidence Analysis. San Diego, CA: Academic, 1999.
18. B. Snook, D. Canter, and C. Bennell, “Predicting the home location of serial offenders: A preliminary comparison of the accuracy of human judges with a geographic profiling system,” Behav. Sci. Law, vol. 20, pp. 109-118,2002.
19. F.V. Jensen, Bayesian Networks and Decision Graphs. New York: Springer-Verlag- 2001.
20. M.I. Jordan and T.J. Sejnowski, Eds., Graphical Models: Foundations of Neural Computation. Cambridge, MA: MIT Press, 2001.
21. M.I. Jordan, Ed., Learning in Graphical Models. Cambridge, MA: MIT Press, 1998.
22. D.P. Bertsekas and J.N. Tsitsiklis, Introduction to Probability. Boston, MA: Athena Scientific, 2002.
23. J. Pearl, “Jeffrey's rule, passage of experience, and neo-Bayesianism,” Knowledge Representation and Defeasible Reasoning, H.E. Kyburg, R.P. Loui, and G.N. Carlson, Eds. Norwell, MA: Kluwer, 1990, pp. 245–265.
24. M. Reidmiller and H. Braun, “A direct adaptive method for faster back-propagation learning: The RPROP algorithm,” in Proc. IEEE Int. Conf. Neural Networks (ICNN), San Francisco, CA, 1993, pp. 586–591.
25. M. Strano and R. Bruzzone, Telematic Journal of Clinical Criminology [Online]. Available: http://www.criminologia.org/index.html
26. G. Cooper and E. Herskovits, “A Bayesian method for the induction of probabilistic networks from data,” Mach. Learn., vol. 9, pp. 309-347,1992.
27. R.W. Robinson, “Counting unlabeled acyclic digraphs,” Combinatorial Mathematics, C.H.C. Little, Ed. Berlin, Germany: Springer-Verlag, pp. 28–43, 1977.
28. K.A.C. Baumgartner, S. Ferrari, and G.B. Palermo, “Constructing Bayesian networks for criminal profiling from limited data,” Knowledge-Based Systems [Online]. Available: http://dx.doi.Org/10.1016/j.knosys.2008.03.019
29. K.A.C. Baumgartner, S. Ferrari, and C.G. Salfati, “Bayesian network modeling of offender behavior for criminal profiling,” in Proc. Conf. Decision and Control, Seville, Spain, 2005, pp. 2702–2709.
30. D. Heckerman, D. Geiger, and D. Chickering, “Learning Bayesian networks: The combination of knowledge and statistical data,” Mach. Learn., vol. 20, pp. 197-243,1995.
31. S.-Z. Zhang, H. Yu, H. Ding, N.-H. Yang, and X.-K. Wang, “An application of online learning algorithm for bayesian network parameter,” in Proc. Int. Conf. Machine Learning and Cybernetics. vol. 1, 2003, pp. 153–156.
32. A.P. Dempster, N.M. Laird, and D.B. Rubin, “Maximum likelihood from incomplete data via the EM algorithm,” J. Roy. Stat. Soc., ser. B, vol. 39, pp. 1-22,1977.
33. R.J.A. Little and D.B. Rubin, Statistical Analysis with Missing Data, 2nd ed. New York: Wiley, 2002.
34. R.N. Kocsis and G.B. Palermo, “Ten major problems with criminal profiling,” Amer. J. Forensic Psychol., vol. 26, no. 2, pp. 45-67,2005.