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Ricco Rakotomalala
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2000 – 2009
- 2008
- [p1]Ricco Rakotomalala, Alain Morineau:
The TVpercentprinciple for the counterexamples statistic. Statistical Implicative Analysis 2008: 449-462 - 2006
- [c16]Ricco Rakotomalala, Jean-Hugues Chauchat, François Pellegrino:
Accuracy Estimation With Clustered Dataset. AusDM 2006: 17-22 - [c15]Alain Morineau, Ricco Rakotomalala:
Critère VT100 de sélection des règles d'association. EGC 2006: 581-592 - [c14]Ricco Rakotomalala, Faouzi Mhamdi:
Improved Singular Value Decomposition for Supervised Learning in a High Dimensional Dataset. PRIS 2006: 38-47 - [c13]Faouzi Mhamdi, Ricco Rakotomalala, Mourad Elloumi:
A Hierarchical n-Grams Extraction Approach for Classification Problem. SITIS 2006: 211-222 - 2005
- [j6]Ricco Rakotomalala:
TANAGRA, une plate-forme d'expérimentation pour la fouille de données. Monde des Util. Anal. Données 32: 70-85 (2005) - [j5]Ricco Rakotomalala:
Arbres de Décision. Monde des Util. Anal. Données 33: 163-187 (2005) - [c12]Ricco Rakotomalala, Faouzi Mhamdi, Mourad Elloumi:
Hybrid Feature Ranking for Proteins Classification. ADMA 2005: 610-617 - [c11]Faouzi Mhamdi, Ricco Rakotomalala, Mourad Elloumi:
Feature Ranking for Protein Classification. CORES 2005: 611-617 - [c10]Ricco Rakotomalala, Tanguy Le Nouvel:
Interactive Clustering Tree: Une méthode de classification descendante adaptée aux grands ensembles de données. DMAS 2005: 73-93 - [c9]Mélanie Raimbault, Ricco Rakotomalala, Xavier Morandi, Pierre Jannin:
Mise en évidence d'invariants dans une population de cas chirurgicaux. EGC (Ateliers) 2005: 339-348 - [c8]Ricco Rakotomalala:
TANAGRA : un logiciel gratuit pour l'enseignement et la recherche. EGC 2005: 697-702 - 2002
- [j4]Ricco Rakotomalala, Stéphane Lallich:
Construction d'arbres de décision par optimisation. Rev. d'Intelligence Artif. 16(6): 685-703 (2002) - [c7]Jean-Hugues Chauchat, Ricco Rakotomalala, François Pellegrino:
Estimation du taux d'erreur sur données en grappes - Application à la reconnaissance de la parole. EGC 2002: 269-280 - [c6]Fabrice Muhlenbach, Ricco Rakotomalala:
Multivariate supervised discretization, a neighborhood graph approach. ICDM 2002: 314-321 - 2001
- [c5]Jean-Hugues Chauchat, Ricco Rakotomalala:
TQC : un indice d'évaluation de la détection d'événements rares, une application au ciblage en marketing. EGC 2001: 155-159 - 2000
- [j3]Marc Sebban, Richard Nock, Jean-Hugues Chauchat, Ricco Rakotomalala:
Impact of learning set quality and size on decision tree performances. Int. J. Comput. Syst. Signals 1(1): 85-105 (2000) - [c4]Jean-Hugues Chauchat, Ricco Rakotomalala, Didier Robert:
Sampling Strategies for Targeting Rare Groups from a Bank Customer Database. PKDD 2000: 181-190 - [c3]Stéphane Lallich, Ricco Rakotomalala:
Fast Feature Selection Using Partial Correlation for Multi-vaslued Attributes. PKDD 2000: 221-231
1990 – 1999
- 1999
- [c2]Ricco Rakotomalala, Stéphane Lallich, S. Di Palma:
Studying the Behavior of Generalized Entropy in Induction Trees Using a M-of-N Concept. PKDD 1999: 510-517 - 1998
- [j2]Djamel A. Zighed, Sabine Rabaséda, Ricco Rakotomalala:
FUSINTER: A Method for Discretization of Continuous Attributes. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 6(3): 307-326 (1998) - 1997
- [c1]Djamel A. Zighed, Ricco Rakotomalala, Fabien Feschet:
Optimal Multiple Intervals Discretization of Continuous Attributes for Supervised Learning. KDD 1997: 295-298 - 1996
- [j1]Sabine Rabaséda, Ricco Rakotomalala, Marc Sebban:
A Comparison of Some Contextual Discretization Methods. Inf. Sci. 92(1-4): 137-157 (1996)
Coauthor Index
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