R. Rakotomalala

Most-cited papers

FUSINTER: A Method for Discretization of Continuous Attributes
D. Zighed, S. Rabaséda, R. Rakotomalala
1998Int. J. Uncertain. Fuzziness Knowl. Based Syst.78 citations
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Graphes d'induction
R. Rakotomalala
199767 citations
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Impact of learning set quality and size on decision tree performances
M. Sebban, R. Nock, J. Chauchat, R. Rakotomalala
2000Int. J. Comput. Syst. Signals54 citations
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Discretization of Continuous Attributes
Fabrice Muhlenbach, R. Rakotomalala
200541 citations Open access
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Optimal Multiple Intervals Discretization of Continuous Attributes for Supervised Learning
D. Zighed, R. Rakotomalala, F. Feschet
1997Knowledge Discovery and Data Mining27 citations
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Textmining, feature selection and datamining for proteins classification
Faouzi Mhamdi, M. Elloumi, R. Rakotomalala
2004Proceedings. 2004 International Conference on Information and Communication Technologies: From Theory to Applications, 2004.24 citations
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Library design using genetic algorithms for catalyst discovery and optimization
F. Clerc, Mourad Lengliz, D. Farrusseng, C. Mirodatos +2 more
200523 citations
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Virtual screening of materials using neuro-genetic approach : Concepts and implementation
D. Farrusseng, F. Clerc, C. Mirodatos, R. Rakotomalala
200921 citations
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Multivariate supervised discretization, a neighborhood graph approach
Fabrice Muhlenbach, R. Rakotomalala
2002IEEE International Conference on Data Mining. Proceedings17 citations
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Can automatically extracted rhythmic units discriminate among languages?
F. Pellegrino, J. Chauchat, R. Rakotomalala, Jérôme Farinas
2002Proceedings of the International Conference on Speech Prosody11 citations Open access
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Targeting Customer Groups using Gain and Cost Matrix : a Marketing Application
J. Chauchat, R. Rakotomalala, M. Carloz, C. Pelletier
200111 citations
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Fast Feature Selection Using Partial Correlation for Multi-vaslued Attributes
Stéphane Lallich, R. Rakotomalala
2000European Conference on Principles of Data Mining and Knowledge Discovery11 citations Open access
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Construction d'arbres de décision par optimisation
R. Rakotomalala, Stéphane Lallich
2002Rev. d'Intelligence Artif.10 citations
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Sampling Strategy for Building Decision Trees from Very Large Databases Comprising Many Continuous Attributes
J. Chauchat, R. Rakotomalala
20019 citations
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A New Sampling Strategy for Building Decision Trees from Large Databases
J. Chauchat, R. Rakotomalala
20009 citations
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A Hierarchical n-Grams Extraction Approach for Classification Problem
F. Mhamdi, R. Rakotomalala, M. Elloumi
2009International Conference on Signal-Image Technology and Internet-Based Systems8 citations
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A Comparison of Some Contextual Discretization Methods
S. Rabaséda, R. Rakotomalala, M. Sebban
1996Information Sciences8 citations
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Accuracy Estimation With Clustered Dataset
R. Rakotomalala, J. Chauchat, F. Pellegrino
2006Australasian Data Mining Conference7 citations
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The TVpercentprinciple for the counterexamples statistic
R. Rakotomalala, A. Morineau
2008Statistical Implicative Analysis5 citations
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Combining feature selection and feature reduction for protein classification
R. Rakotomalala, F. Mhamdi
20064 citations
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A Compromise between N-gram Length and Classifier Characteristics for Protein Classification
F. Mhamdi, R. Rakotomalala, M. Elloumi
20064 citations
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Hybrid Feature Ranking for Proteins Classification
R. Rakotomalala, F. Mhamdi, M. Elloumi
2005International Conference on Advanced Data Mining and Applications4 citations
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Studying the Behavior of Generalized Entropy in Induction Trees Using a M-of-N Concept
R. Rakotomalala, Stéphane Lallich, S. Dipalma
1999European Conference on Principles of Data Mining and Knowledge Discovery4 citations Open access
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Alara approach: Imaging optimization in radiotherapy
O. Bleuse, R. Rakotomalala
20132 citations
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Using the Text Categorization Framework for Protein Classification
R. Rakotomalala, F. Mhamdi
20092 citations
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ERROR RATE ESTIMATE FOR CLUSTER DATA – APPLICATION TO AUTOMATIC SPOKEN LANGUAGE IDENTIFICATION
J. Chauchat, R. Rakotomalala, F. Pellegrino
20032 citations
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Sampling Strategies for Targeting Rare Groups from a Bank Customer Database
J. Chauchat, R. Rakotomalala, Didier Robert
2000European Conference on Principles of Data Mining and Knowledge Discovery2 citations Open access
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Meta Modeling for Combinatorial Catalyst Optimization
F. Clerc, D. Farrusseng, R. Rakotomalala, Nicolas Nycoloyannis +1 more
20061 citations
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Feature Ranking for Protein Classification
F. Mhamdi, R. Rakotomalala, M. Elloumi
2005International Conference on Computer Recognition Systems1 citations
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Interactive Clustering Tree: Une méthode de classification descendante adaptée aux grands ensembles de données
R. Rakotomalala, Tanguy Le Nouvel
2005Data Mining et Apprentissage Statistique1 citations
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Improved Singular Value Decomposition for Supervised Learning in a High Dimensional Dataset
R. Rakotomalala, F. Mhamdi
2018Pattern Recognition in Information Systems0 citations
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ERROR RATE ESTIMATE FOR CLUSTER DATA - APPLICATION TO AUTOMATIC SPOKEN LANGUAGE IDENTIFICATION
J. Chauchat, R. Rakotomalala, F. Pellegrino
20020 citations
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