Підписатись
Nicolas Pasquier
Nicolas Pasquier
Université Côte d'Azur, Laboratoire I3S
Підтверджена електронна адреса в i3s.unice.fr - Домашня сторінка
Назва
Посилання
Посилання
Рік
Discovering frequent closed itemsets for association rules
N Pasquier, Y Bastide, R Taouil, L Lakhal
Database Theory—ICDT’99: 7th International Conference Jerusalem, Israel …, 1999
21801999
Efficient mining of association rules using closed itemset lattices
N Pasquier, Y Bastide, R Taouil, L Lakhal
Information systems 24 (1), 25-46, 1999
12061999
Computing iceberg concept lattices with titanic
G Stumme, R Taouil, Y Bastide, N Pasquier, L Lakhal
Data & knowledge engineering 42 (2), 189-222, 2002
6452002
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
5132000
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
4692000
Generating a condensed representation for association rules
N Pasquier, R Taouil, Y Bastide, G Stumme, L Lakhal
Journal of intelligent information systems 24, 29-60, 2005
2552005
Pruning closed itemset lattices for association rules
N Pasquier, Y Bastide, R Taouil, L Lakhal
BDA'1998 international conference on Advanced Databases, 177-196, 1998
1501998
Intelligent structuring and reducing of association rules with formal concept analysis
G Stumme, R Taouil, Y Bastide, N Pasquier, L Lakhal
KI 2001: Advances in Artificial Intelligence: Joint German/Austrian …, 2001
1452001
Closed sets based discovery of small covers for association rules
N Pasquier, Y Bastide, R Taouil, L Lakhal
BDA'1999 international conference on Advanced Databases, 361-381, 1999
1381999
Fast Computation of Concept lattices Using Data Mining Techniques.
G Stumme, R Taouil, Y Bastide, N Pasquier, L Lakhal
KRDB 2, 129-139, 2000
1272000
Data mining: algorithmes d'extraction et de réduction des règles d'association dans les bases de données
N Pasquier
Université Blaise Pascal-Clermont-Ferrand II, 2000
1072000
Pascal: un algorithme d'extraction des motifs fréquents
Y Bastide, R Taouil, N Pasquier, G Stumme, L Lakhal
Revue des Sciences et Technologies de l'Information-Série TSI: Technique et …, 2002
842002
GenMiner: mining non-redundant association rules from integrated gene expression data and annotations
R Martinez, N Pasquier, C Pasquier
Bioinformatics 24 (22), 2643-2644, 2008
792008
Mining bases for association rules using closed sets
R Taouil, N Pasquier, Y Bastide, L Lakhal
ICDE'2000 International Conference, 307, 2000
672000
Mining association rules using formal concept analysis
N Pasquier
ICCS'2000 International Conference on Conceptual Structures 1867, 259-264, 2000
482000
A new approach for association rule mining and bi-clustering using formal concept analysis
KC Mondal, N Pasquier, A Mukhopadhyay, U Maulik, S Bandhopadyay
International Workshop on Machine Learning and Data Mining in Pattern …, 2012
452012
GenMiner: mining informative association rules from genomic data
R Martinez, C Pasquier, N Pasquier
2007 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2007
412007
Extraction de Bases pour les Règles d'Association à partir des Itemsets Fermés Fréquents
N Pasquier
Inforsid'2000 Congress, 56-77, 2000
262000
Semi-supervised consensus clustering based on closed patterns
T Yang, N Pasquier, F Precioso
Knowledge-Based Systems 235, 107599, 2022
252022
Mining gene expression data using domain knowledge
N Pasquier, C Pasquier, L Brisson, M Collard
International Journal of Software and Informatics (IJSI) 2 (2), 215-231, 2008
242008
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