 | 2009 |
| 35 |  | Emna Bahri,
Stéphane Lallich:
Pruning for Extracting Class Association Rules Without Candidate Generation.
DMIN 2009: 11-17 |
| 34 |  | Emna Bahri,
Stéphane Lallich:
FCP-Growth, une adaptation de FP-Growth pour générer des règles d'association de classe.
EGC 2009: 461-462 |
| 33 |  | Thanh-Nghi Do,
Stéphane Lallich,
Nguyen-Khang Pham,
Philippe Lenca:
Un nouvel algorithme de forêts aléatoires d'arbres obliques particulièrement adapté à la classification de données en grandes dimensions.
EGC 2009: 79-90 |
| 32 |  | Emna Bahri,
Stéphane Lallich:
FCP-Growth: Class Itemsets for Class Association Rules.
FLAIRS Conference 2009 |
| 31 |  | Yannick Le Bras,
Philippe Lenca,
Stéphane Lallich:
On Optimal Rule Mining: A Framework and a Necessary and Sufficient Condition of Antimonotonicity.
PAKDD 2009: 705-712 |
| 30 |  | Emna Bahri,
Stéphane Lallich,
Nicolas Nicoloyannis,
Mondher Maddouri:
A Hybrid Approach of Boosting Against Noisy Data.
Mining Complex Data 2009: 41-54 |
| 2008 |
| 29 |  | Nguyen-Khang Pham,
Thanh-Nghi Do,
Philippe Lenca,
Stéphane Lallich:
Using Local Node Information in Decision Trees: Coupling a Local Labeling Rule with an Off-centered Entropy.
DMIN 2008: 117-123 |
| 28 |  | Elie Prudhomme,
Stéphane Lallich:
Optimization of Self-Organizing Maps Ensemble in Prediction.
DMIN 2008: 683-688 |
| 27 |  | Romain Billot,
Henri-Maxime Suchier,
Stéphane Lallich:
Une approche ensembliste inspirée du boosting en classification non supervisée.
EGC 2008: 361-372 |
| 26 |  | Elie Prudhomme,
Stéphane Lallich:
Maps Ensemble for Semi-Supervised Learning of Large High Dimensional Datasets.
ISMIS 2008: 100-110 |
| 25 |  | Philippe Lenca,
Stéphane Lallich,
Thanh-Nghi Do,
Nguyen-Khang Pham:
A Comparison of Different Off-Centered Entropies to Deal with Class Imbalance for Decision Trees.
PAKDD 2008: 634-643 |
| 24 |  | Benoît Vaillant,
Stéphane Lallich,
Philippe Lenca:
On the behavior of the generalizations of the intensity of implication: A data-driven comparative study.
Statistical Implicative Analysis 2008: 421-447 |
| 23 |  | Philippe Lenca,
Patrick Meyer,
Benoît Vaillant,
Stéphane Lallich:
On selecting interestingness measures for association rules: User oriented description and multiple criteria decision aid.
European Journal of Operational Research 184(2): 610-626 (2008) |
| 2007 |
| 22 |  | Jérôme Azé,
Philippe Lenca,
Stéphane Lallich,
Benoît Vaillant:
A Study of the Robustness of Association Rules.
DMIN 2007: 163-169 |
| 21 |  | Elie Prudhomme,
Stéphane Lallich:
Ensemble prédicteur fondé sur les cartes auto-organisatrices adapté aux données volumineuses.
EGC 2007: 473-484 |
| 20 |  | Stéphane Lallich,
Olivier Teytaud,
Elie Prudhomme:
Association Rule Interestingness: Measure and Statistical Validation.
Quality Measures in Data Mining 2007: 251-275 |
| 19 |  | Philippe Lenca,
Benoît Vaillant,
Patrick Meyer,
Stéphane Lallich:
Association Rule Interestingness Measures: Experimental and Theoretical Studies.
Quality Measures in Data Mining 2007: 51-76 |
| 2006 |
| 18 |  | Benoît Vaillant,
Stéphane Lallich,
Philippe Lenca:
Modeling of the counter-examples and association rules interestingness measures behavior.
DMIN 2006: 132-137 |
| 2005 |
| 17 |  | Elie Prudhomme,
Stéphane Lallich:
Validation statistique des cartes de Kohonen en apprentissage supervisé.
EGC 2005: 79-90 |
| 2004 |
| 16 |  | Benoît Vaillant,
Philippe Lenca,
Stéphane Lallich:
A Clustering of Interestingness Measures.
Discovery Science 2004: 290-297 |
| 15 |  | Fabrice Muhlenbach,
Stéphane Lallich,
Djamel A. Zighed:
Outlier Handling in the Neighbourhood-Based Learning of a Continuous Class.
Discovery Science 2004: 314-321 |
| 14 |  | Stéphane Lallich,
Elie Prudhomme,
Olivier Teytaud:
Contrôle du risque multiple pour la sélection de règles d'association significatives.
EGC 2004: 305-316 |
| 13 |  | Benoît Vaillant,
Philippe Lenca,
Stéphane Lallich:
Etude expérimentale de mesures de qualité de règles d'associations.
EGC 2004: 341-352 |
| 12 |  | Amandine Duffoux,
Omar Boussaid,
Stéphane Lallich,
Fadila Bentayeb:
Fouille dans la structure de documents XML.
EGC 2004: 519-524 |
| 11 |  | Fabrice Muhlenbach,
Stéphane Lallich,
Djamel A. Zighed:
Identifying and Handling Mislabelled Instances.
J. Intell. Inf. Syst. 22(1): 89-109 (2004) |
| 2003 |
| 10 |  | Stéphane Lallich,
Fabrice Muhlenbach,
Djamel A. Zighed:
Traitement des exemples atypiques en apprentissage par la régression.
EGC 2003: 399-410 |
| 9 |  | Stéphane Lallich,
Fabrice Muhlenbach,
Jean-Michel Jolion:
A test to control a region growing process within a hierarchical graph.
Pattern Recognition 36(10): 2201-2211 (2003) |
| 2002 |
| 8 |  | Fabrice Muhlenbach,
Stéphane Lallich,
Djamel A. Zighed:
Amélioration d'une classification par filtrage des exemples mal étiquetés.
EGC 2002: 155-166 |
| 7 |  | Stéphane Lallich,
Fabrice Muhlenbach,
Djamel A. Zighed:
Improving Classification by Removing or Relabeling Mislabeled Instances.
ISMIS 2002: 5-15 |
| 6 |  | Djamel A. Zighed,
Stéphane Lallich,
Fabrice Muhlenbach:
Separability Index in Supervised Learning.
PKDD 2002: 475-487 |
| 5 |  | Marc Sebban,
Richard Nock,
Stéphane Lallich:
Stopping Criterion for Boosting-Based Data Reduction Techniques: from Binary to Multiclass Problem.
Journal of Machine Learning Research 3: 863-885 (2002) |
| 2001 |
| 4 |  | Marc Sebban,
Richard Nock,
Stéphane Lallich:
Boosting Neighborhood-Based Classifiers.
ICML 2001: 505-512 |
| 2000 |
| 3 |  | Stéphane Lallich,
Ricco Rakotomalala:
Fast Feature Selection Using Partial Correlation for Multi-vaslued Attributes.
PKDD 2000: 221-231 |
| 1999 |
| 2 |  | Stéphane Lallich:
ZigZag, a New Clustering Algorithm to Analyze Categorical Variable Cross-Classification Tables.
PKDD 1999: 398-405 |
| 1 |  | 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 |