Pattern detection in forensic case data using graph theory: Application to heroin cutting agents

Forensic Science International

Volumn 167, Issue 2-3, 2007, Pages 242-246

  Terrettaz Zufferey, Anne Laure ^a   Ratle, Frédéric ^a   Ribaux, Olivier ^a   Esseiva, Pierre ^a   Kanevski, Mikhail ^a  

^a UNIVERSITY OF LAUSANNE   (Switzerland)

Author keywords

Adjacency matrix; Co occurrences; Heroin seizures; Profiling; Swiss cantons

Indexed keywords

DIAMORPHINE; ILLICIT DRUG;

ARTICLE; DATA ANALYSIS; DRUG ABUSE; DRUG TRAFFIC; FORENSIC MEDICINE; MATHEMATICAL MODEL; PRIORITY JOURNAL; THEORY;

EID: 33947399141     PISSN: 03790738     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.forsciint.2006.06.059     Document Type: Article

References (13)

1. In: Li S.Z., and Jain A.K. (Eds). Handbook of Face Recognition (2005), Springer
2. In: Wayman J., Jain A., Maltoni D., and Maio D. (Eds). Biometric System, Technology, Design and Performance Evaluation (2005), Springer
3. Guéniat O., and Esseiva P. Le Profilage de l'Héroïne et de la Cocaïne, Presses Polytechniques et Universitaires Romandes. Lausanne (2005)
4. Esseiva P., Dujourdy L., Anglada F., Taroni F., and Margot P. A methodology for illicit drug intelligence perspective using large databases. Forensic Sci. Int. 132 (2003) 139-152
5. Esseiva P., Anglada F., Dujourdy L., Taroni F., Margot P., Du Pasquier E., Dawson M., Roux C., and Doble P. Chemical profiling and classification of illicit heroin by principal component analysis, calculation of inter sample correlation and artificial neural networks. Talanta 67 (2005) 360-367
6. Ratle F., Terrettaz A.L., Kanevski M., Esseiva P., and Ribaux O. Pattern analysis in illicit heroin seizures: a novel application of machine learning algorithms. European Symposium on Artificial Neural Networks (2006)
7. Madden M.G., and Ryder A.G. Machine learning methods for quantitative analysis of Raman spectroscopy data. Proceedings of the International Society for Optical Engineering (SPIE 2002), vol. 4876 (2002) 1130-1139
8. O'Connell M.L., Howley T., Ryder A.G., and Madden M.G. Classification of a target analyte in solid mixtures using principal component analysis, support vector machines, and Raman spectroscopy. Proceedings of the International Society for Optical Engineering (SPIE 2005), vol. 5826 (2005) 340-350
9. Yu S., and Shi J. Multiclass spectral clustering. Proceedings of ICCV (2003)
10. M. Peter, M.J. Zaki, CLICK: Clustering Categorical Data using K-partite Maximal Cliques, Computer Science Department, Rensselaer Polytechnic Institute, Troy, NY 12180, http://www.citeseer.ist.psu.edu/678652.html, last access June 2006.
11. West D.B. Introduction to Graph Theory. 2nd ed. (2001), Prentice Hall, Upper Saddle River
12. J. Guex, E. Davaud, Unitary Associations Method: Use of Graph Theory and Computer Algorithm Comp. Geosc.,10/1, pp. 195-205.
13. O. Hammer, J. Guex, J. Savary, UA-Graph, http://folk.uio.no/ohammer/uagraph, last access June 2006.