Vignette d'image

Cotofrei, Paul

Nom
Cotofrei, Paul
Affiliation principale
Fonction
Maître d'enseignement et de recherche
Email
paul.cotofrei@unine.ch
Identifiants
https://libra.unine.ch/handle/123456789/595
_
0000-0002-4103-5467

Résultat de la recherche

Filtres

222
2
2
11
Réinitialiser les filtres

Paramètres

Voici les éléments 1 - 2 sur 2
  • Publication
    Accès libre
    Fuzzy methods for forensic data analysis
    (2010-12)
    Stoffel, Kilian 
    ;
    Cotofrei, Paul 
    ;
    Han, Dong 
    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.
  • Publication
    Accès libre
    Fuzzy Clustering based Methodology for Multidimensional Data Analysis in Computational Forensic Domain
    Stoffel, Kilian 
    ;
    Cotofrei, Paul 
    ;
    Han, Dong 
    As interdisciplinary domain requiring advanced and innovative methodologies, the computational forensics domain is characterized by data being, simultaneously, large scaled and uncertain, multidimensional and approximate. Forensic domain experts, trained to discover hidden pattern from crime data, are limited in their analysis without the assistance of a computational intelligence approach. In this paper, a methodology and an automatic procedure, ased on fuzzy set theory and designed to infer precise and intuitive expert-system-like rules from original forensic data, is described. The main steps of the methodology are detailed, as well as the experiments conducted on forensic data sets - both simulated data and real data, representing robberies and residential burglaries.