Criminal incident data association using the OLAP technology

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2665, Issue , 2003, Pages 13-26

  Lin, Song ^a   Brown, Donald E ^a  

^a UNIVERSITY OF VIRGINIA   (United States)

Author keywords

Criminal incident association; OLAP; Outlier

Indexed keywords

STATISTICS;

ASSOCIATION METHODS; INCIDENT DATA; MEASUREMENT FUNCTION; OLAP; OLAP TECHNOLOGIES; OUTLIER; SCORE FUNCTION; SPATIAL ANALYSIS;

CRIME;

EID: 35248837345     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44853-5_2     Document Type: Article

References (20)

1. Badiru, A.B., Karasz, J.M. and Holloway, B.T., "AREST: Armed Robbery Eidetic Suspect Typing Expert System", Journal of Police Science and Administration, 16, 210-216 (1988)
2. Brantingham, P. J. and Brantingham, P. L., Patterns in Crimes, New York: Macmillan (1984)
3. Brown D.E. and Hagen S.C., "Data Association Methods with Applications to Law Enforcement", Decision Support Systems, 34, 369-378 (2003)
4. Brown, D. E., Liu, H. and Xue, Y., "Mining Preference from Spatial-temporal Data", Proc. of the First SIAM International Conference of Data Mining (2001)
5. Clarke, R.V. and Cornish, D.B., "Modeling Offender's Decisions: A Framework for Research and Policy", Crime Justice: An Annual Review of Research, Vol. 6, Ed. by Tonry, M. and Morris, N. University of Chicago Press (1985)
6. Chaudhuri, S. and Dayal, U., "An Overview of Data Warehousing and OLAP Technology", ACM SIGMOD Record, 26 (1997)
7. th VLDB Conference, Roma, Italy (2001)
8. Everitt, B. Cluster Analysis, John Wiley & Sons, Inc. (1993)
9. Felson, M., "Routine Activities and Crime Prevention in the Developing Metropolis", Criminology, 25, 911-931 (1987)
10. Hauck, R., Atabakhsh, H., Onguasith, P., Gupta, H., and Chen, H., "Using Coplink to Analyse Criminal-Justice Data", IEEE Computer, 35, 30-37 (2002)
11. Hawkins, D., Identifications of Outliers, Chapman and Hall, London, (1980)
12. Heck, R.O., Career Criminal Apprehesion Program: Annual Report (Sacramento, CA: Office of Criminal Justice Planning) (1991)
13. Icove, D. J., "Automated Crime Profiling", Law Enforcement Bulletin, 55, 27-30 (1986)
14. Imielinski, T., Khachiyan, L., and Abdul-ghani, A., Cubegrades: "Generalizing association rules", Technical report, Dept. Computer Science, Rutgers Univ., Aug. (2000)
15. Kaufman, L. and Rousseeuw, P. Finding Groups in Data, Wiley (1990)
16. Mitra, P., Murthy, C.A., and Pal, S.K., "Unsupervised Feature Selection Using Feature Similarity", IEEE Trans. On Pattern Analysis and Machine Intelligence, 24, 301-312 (2002)
17. Salton, G. and McGill, M. Introduction to Modern Information Retrieval, McGraw-Hill Book Company, New York (1983)
18. Sarawagi, S., Agrawal, R., and Megiddo. N., "Discovery-driven exploration of OLAP data cubes", Proc. of the Sixth Int'l Conference on Extending Database Technology (EDBT), Valencia, Spain (1998)
19. Scott, D. Multivariate Density Estimation: Theory, Practice and Visualization, New York, NY: Wiley (1992)
20. Sturges, H.A., "The Choice of a Class Interval", Journal of American Statistician Association, 21, 65-66 (1926)