Discovering frequent closed itemsets for association rules N Pasquier, Y Bastide, R Taouil, L Lakhal International Conference on Database Theory, 398-416, 1999 | 1971 | 1999 |
Efficient mining of association rules using closed itemset lattices N Pasquier, Y Bastide, R Taouil, L Lakhal Information systems 24 (1), 25-46, 1999 | 1093 | 1999 |
Computing iceberg concept lattices with TITANIC G Stumme, R Taouil, Y Bastide, N Pasquier, L Lakhal Data & knowledge engineering 42 (2), 189-222, 2002 | 561 | 2002 |
Mining minimal non-redundant association rules using frequent closed itemsets Y Bastide, N Pasquier, R Taouil, G Stumme, L Lakhal International Conference on Computational Logic, 972-986, 2000 | 463 | 2000 |
Mining frequent patterns with counting inference Y Bastide, R Taouil, N Pasquier, G Stumme, L Lakhal ACM SIGKDD Explorations Newsletter 2 (2), 66-75, 2000 | 426 | 2000 |
Efficient discovery of functional dependencies and armstrong relations S Lopes, JM Petit, L Lakhal International Conference on Extending Database Technology, 350-364, 2000 | 238 | 2000 |
Generating a condensed representation for association rules N Pasquier, R Taouil, Y Bastide, G Stumme, L Lakhal Journal of intelligent information systems 24 (1), 29-60, 2005 | 230 | 2005 |
Contrast data mining: concepts, algorithms, and applications G Dong, J Bailey CRC Press, 2012 | 137 | 2012 |
Intelligent structuring and reducing of association rules with formal concept analysis G Stumme, R Taouil, Y Bastide, N Pasquier, L Lakhal Annual Conference on Artificial Intelligence, 335-350, 2001 | 136 | 2001 |
Pruning closed itemset lattices for association rules N Pasquier, Y Bastide, R Taouil, L Lakhal | 135 | 1998 |
Closed sets based discovery of small covers for association rules N Pasquier, Y Bastide, R Taouil, L Lakhal | 125 | 1999 |
Fast computation of concept lattices using data mining techniques G Stumme, R Taouil, Y Bastide, N Pasquier, L Lakhal | 117 | 2000 |
Efficient mining of association rules based on formal concept analysis L Lakhal, G Stumme Formal concept analysis, 180-195, 2005 | 107 | 2005 |
Functional and approximate dependency mining: database and FCA points of view S Lopes, JM Petit, L Lakhal Journal of Experimental & Theoretical Artificial Intelligence 14 (2-3), 93-114, 2002 | 93 | 2002 |
Pascal: un algorithme d'extraction des motifs fréquents Y Bastide, R Taouil, N Pasquier, G Stumme, L Lakhal | 77 | 2002 |
Conceptual clustering with iceberg concept lattices G Stumme, R Taouil, Y Bastide, L Lakhal Proc. of GI-Fachgruppentreffen Maschinelles Lernen 1, 2001 | 61 | 2001 |
Mining bases for association rules using closed sets R Taouil, N Pasquier, Y Bastide, L Lakhal | 59 | 2000 |
Essential patterns: A perfect cover of frequent patterns A Casali, R Cicchetti, L Lakhal International Conference on Data Warehousing and Knowledge Discovery, 428-437, 2005 | 58 | 2005 |
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface M Abe, K Aoki, G Ateniese, R Avanzi, Z Beerliová, O Billet, A Biryukov, ... Lecture Notes in Computer Science (including subseries Lecture Notes in …, 2006 | 50* | 2006 |
iO2 An algorithmic method for building inheritance graphs in object database design A Yahia, L Lakhal, R Cicchetti, JP Bordat International Conference on Conceptual Modeling, 422-437, 1996 | 47 | 1996 |