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Fabrice E. Guillet
Fabrice E. Guillet
Full Professor, Computer Science, LS2N CNRS UMR6004, University of Nantes, Polytech Nantes
Verified email at univ-nantes.fr - Homepage
Title
Cited by
Cited by
Year
Quality Measures in Data Mining
F Guillet, HJ Hamilton
Studies in Computational Intelligence, Springer, 2007
2372007
Statistical Implicative Analysis: theory and applications
R Gras, E Suzuki, F Guillet, F Spagnolo
Springer Verlag, 2008
167*2008
Knowledge-based interactive postmining of association rules using ontologies
C Marinica, F Guillet
IEEE Transactions on knowledge and data engineering 22 (6), 784-797, 2010
1582010
Association rule ontology matching approach
J David
International Journal on Semantic Web and Information Systems (IJSWIS) 3 (2 …, 2007
1132007
Using information-theoretic measures to assess association rule interestingness
J Blanchard, F Guillet, R Gras, H Briand
Fifth IEEE International Conference on Data Mining (ICDM'05), 8 pp., 2005
1012005
Analyse Statistique Implicative: Une méthode d’analyse de données pour la recherche de causalités
R Gras, JC Régnier, F Guillet
Revue national des Technologies de l'Information (RNTI), 2009
97*2009
Matching directories and OWL ontologies with AROMA
J David, F Guillet, H Briand
Proceedings of the 15th ACM international conference on Information and …, 2006
792006
Une version entropique de l'intensité d'implication pour les corpus volumineux
R Gras, P Kuntz, R Couturier, F Guillet
702001
Interactive visual exploration of association rules with rule-focusing methodology
J Blanchard, F Guillet, H Briand
Knowledge and Information Systems 13, 43-75, 2007
622007
Assessing rule interestingness with a probabilistic measure of deviation from equilibrium
J Blanchard, F Guillet, H Briand, R Gras
11th international symposium on Applied Stochastic Models and Data Analysis …, 2005
612005
A user-driven and quality-oriented visualization for mining association rules
J Blanchard, F Guillet, H Briand
Third IEEE International Conference on Data Mining, 493-496, 2003
592003
Exploratory visualization for association rule rummaging
J Blanchard, F Guillet, H Briand
KDD-03 workshop on multimedia data mining (MDM-03) 3, 2003
552003
L'analyse statistique implicative Méthode exploratoire et confirmatoire à la recherche de causalités
R Gras, JC Régnier, C Marinica, F Guillet
Cépaduès Editions, 2013
522013
Post-processing of discovered association rules using ontologies
C Marinica, F Guillet, H Briand
2008 IEEE International Conference on Data Mining Workshops, 126-133, 2008
512008
Improving the discovery of association rules with intensity of implication
S Guillaume, F Guillet, J Philippe
Principles of Data Mining and Knowledge Discovery: Second European Symposium …, 1998
491998
Implication Intensity: From the Basic Statistical Definition to the Entropic Version Polytechnique de l’Universite de Nantes, France
J Blanchard, P Kuntz, F Guillet, RG Ecole
Statistical data mining and knowledge discovery, 505-518, 2003
462003
A user-driven process for mining association rules
P Kuntz, F Guillet, R Lehn, H Briand
Principles of Data Mining and Knowledge Discovery: 4th European Conference …, 2000
442000
A graph-based clustering approach to evaluate interestingness measures: a tool and a comparative study
XH Huynh, F Guillet, J Blanchard, P Kuntz, H Briand, R Gras
Quality measures in data mining, 25-50, 2007
412007
Visual analytics for exploring topic long-term evolution and detecting weak signals in company targeted tweets
L Pépin, P Kuntz, J Blanchard, F Guillet, P Suignard
Computers & Industrial Engineering 112, 450-458, 2017
332017
Mesure de qualité des règles d'association par l'intensité d'implication entropique
J Blanchard, P Kuntz, F Guillet, R Gras
Revue des Nouvelles Technologies de l'Information, 33--44, 2004
302004
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