Title :
Fuzzy methods for forensic data analysis
Author :
Stoffel, Kilian ; Cotofrei, Paul ; Han, Dong
Author_Institution :
Inf. Manage. Inst., Univ. of Neuchatel, Neuchâtel, Switzerland
Abstract :
In this paper we describe a methodology and an automatic procedure for inferring accurate and easily understandable expert-system-like rules from forensic data. This methodology is based on the fuzzy set theory. The algorithms we used are described in detail, and were tested on forensic data sets. We also present in detail some examples, which are representative for the obtained results.
Keywords :
data analysis; fuzzy set theory; inference mechanisms; security of data; expert-system-like rules; forensic data analysis; fuzzy clustering; fuzzy inference system; fuzzy methods; fuzzy set theory; Cities and towns; Clustering algorithms; Computational intelligence; Data models; Databases; Forensics; Fuzzy sets; computational intelligence; forensic data; fuzzy clustering; fuzzy inference system;
Conference_Titel :
Soft Computing and Pattern Recognition (SoCPaR), 2010 International Conference of
Conference_Location :
Paris
Print_ISBN :
978-1-4244-7897-2
DOI :
10.1109/SOCPAR.2010.5685848
