Fabrice E. Guillet

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Citations	2459	597
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Julien BlanchardAssociate Professor - Computer Science - LS2N - University of NantesVerified email at univ-nantes.fr
Hiep Xuan HuynhFull Professor, Ph.D. (HDR), Can Tho UniversityVerified email at ctu.edu.vn
Claudia MarinicaAssistant Professor, Polytech Nantes, LS2N LabVerified email at univ-nantes.fr
Howard J HamiltonProfessor of Computer Science, University of ReginaVerified email at cs.uregina.ca
Raphaël CouturierFEMTO-ST Institute, University of Franche-Comte (UFC), CNRSVerified email at univ-fcomte.fr
Bruno PinaudFull professor in comp. sci., Univ. of BordeauxVerified email at u-bordeaux.fr
Philippe SuignardEDF R&DVerified email at edf.fr
Philippe LencaIMT AtlantiqueVerified email at imt-atlantique.fr
Fabien PicarougneUniversity of NantesVerified email at univ-nantes.fr
Einoshin SuzukiKyushu UniversityVerified email at inf.kyushu-u.ac.jp
Thomas PitonDocteur en informatique, Université de NantesVerified email at ep.fr
Andrei OlaruUniversity Politehnica of BucharestVerified email at andreiolaru.ro
Huu Hung HUYNHThe University of Danang - University of Science and TechnologyVerified email at dut.udn.vn
Gilles VenturiniUniversity of ToursVerified email at univ-tours.fr
Robin GrasProfessor of Computer Science, University of WindsorVerified email at uwindsor.ca
Yannick PriéProfessor of Computer Science, University of NantesVerified email at yannickprie.net
Dominique FOLLUTKEOPS Performance GroupVerified email at keops-group.com
Adina Magda FloreaProfessor of Computer Science, University Politehnica of Bucharest, Academy of Romanian ScientistsVerified email at cs.pub.ro
Amaury BelinPhD Student, Lyon UniversityVerified email at liris.cnrs.fr
Laure Berti-EquilleResearch Director, IRD (French Institute of Research for Sustainable Development), ESPACE-DEVVerified email at ird.fr

Fabrice E. Guillet

Full Professor, Computer Science, LS2N CNRS UMR6004, University of Nantes, Polytech Nantes

Verified email at univ-nantes.fr - Homepage

Data Science : Frequent Patterns Mining Knowledge and Ontology Management Knowledge Quality and Interestingness Knowledge vis


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Quality Measures in Data Mining F Guillet, HJ Hamilton Studies in Computational Intelligence, Springer, 2007	256	2007
Statistical Implicative Analysis: theory and applications R Gras, E Suzuki, F Guillet, F Spagnolo Springer Verlag, 2008	183*	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	172	2010
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	121*	2009
Association rule ontology matching approach J David, H Briand, F Guillet International Journal on Semantic Web and Information Systems (IJSWIS) 3 (2 …, 2007	121	2007
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	104	2005
Matching directories and OWL ontologies with AROMA J David, F Guillet, H Briand Proceedings of the 15th ACM international conference on Information and …, 2006	83	2006
Une version entropique de l'intensité d'implication pour les corpus volumineux R Gras, P Kuntz, R Couturier, F Guillet	70	2001
Interactive visual exploration of association rules with rule-focusing methodology J Blanchard, F Guillet, H Briand Knowledge and Information Systems 13, 43-75, 2007	64	2007
L'analyse statistique implicative Méthode exploratoire et confirmatoire à la recherche de causalités R Gras, JC Régnier, C Marinica, F Guillet Cépaduès Editions, 2013	62	2013
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	62	2005
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	62	2003
Exploratory visualization for association rule rummaging J Blanchard, F Guillet, H Briand KDD-03 workshop on multimedia data mining (MDM-03) 3, 2003	57	2003
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	54	2008
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	49	1998
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	45	2007
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	45	2003
A user-driven process for mining association rules P Kuntz, F Guillet, R Lehn, H Briand European Conference on Principles of Data Mining and Knowledge Discovery …, 2000	43	2000
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	41	2017
Evaluation of aroma profile differences between sué, sautéed, and pan-fried onions using an innovative olfactometric approach A Villière, S Le Roy, C Fillonneau, F Guillet, H Falquerho, S Boussely, ... Flavour 4, 1-19, 2015	34	2015

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