Pruning closed itemset lattices for associations rules. - Nicolas Pasquier; Yves Bastide; Rafik Taouil; Lotfi Lakhal (BDA, 1998)

Closed Set Based Discovery of Small Covers for Association Rules. - Nicolas Pasquier; Yves Bastide; Rafik Taouil; Lotfi Lakhal (Proc. 15èmes Journées Bases de Données Avancées, BDA, 1999)

Discovering Frequent Closed Itemsets for Association Rules. - Nicolas Pasquier; Yves Bastide; Rafik Taouil; Lotfi Lakhal (ICDT, 1999)

Efficient Mining of Association Rules Using Closed Itemset Lattices. - Nicolas Pasquier; Yves Bastide; Rafik Taouil; Lotfi Lakhal (Inf. Syst., 1999)

Levelwise Search of Frequent Patterns with Counting Inference. - Yves Bastide; Rafik Taouil; Nicolas Pasquier; Gerd Stumme; Lotfi Lakhal (BDA, 2000)

Mining Minimal Non-redundant Association Rules Using Frequent Closed Itemsets. - Yves Bastide; Nicolas Pasquier; Rafik Taouil; Gerd Stumme; Lotfi Lakhal (Computational Logic, 2000)

Mining Bases for Association Rules Using Closed Sets. - Rafik Taouil; Nicolas Pasquier; Yves Bastide; Lotfi Lakhal (ICDE, 2000)

Extraction de bases pour les règles d'association à partir des itemsets fermés fréquents. - Nicolas Pasquier (INFORSID, 2000)

Fast Computation of Concept lattices Using Data Mining Techniques. - Gerd Stumme; Rafik Taouil; Yves Bastide; Nicolas Pasquier; Lotfi Lakhal (KRDB, 2000)

Mining Frequent Patterns with Counting Inference. - Yves Bastide; Rafik Taouil; Nicolas Pasquier; Gerd Stumme; Lotfi Lakhal (SIGKDD Explor., 2000)

Data Mining : algorithmes d'extraction et de réduction des règles d'association dans les bases de données. - Nicolas Pasquier (2000)

Intelligent Structuring and Reducing of Association Rules with Formal Concept Analysis. - Gerd Stumme; Rafik Taouil; Yves Bastide; Nicolas Pasquier; Lotfi Lakhal (KI/ÖGAI, 2001)

Computing iceberg concept lattices with T. - Gerd Stumme; Rafik Taouil; Yves Bastide; Nicolas Pasquier; Lotfi Lakhal (Data Knowl. Eng., 2002)

Generating a Condensed Representation for Association Rules. - Nicolas Pasquier; Rafik Taouil; Yves Bastide; Gerd Stumme; Lotfi Lakhal (J. Intell. Inf. Syst., 2005)

Interpreting Microarray Experiments Via Co-expressed Gene Groups Analysis (CGGA). - Ricardo Martínez; Nicolas Pasquier; Claude Pasquier; Lucero Lopez-Perez (Discovery Science, 2006)

Co-expressed gene group analysis (CGGA): An automatic tool for the interpretation of microarray experiments. - Ricardo Martínez; Nicolas Pasquier; Claude Pasquier; Martine Collard; Lucero Lopez-Perez (J. Integr. Bioinform., 2006)

GenMiner: Mining Informative Association Rules from Genomic Data. - Ricardo Martínez; Claude Pasquier; Nicolas Pasquier (BIBM, 2007)

Mining Association Rule Bases from Integrated Genomic Data and Annotations. - Ricardo Martínez; Nicolas Pasquier; Claude Pasquier (CIBB, 2008)

GenMiner: mining non-redundant association rules from integrated gene expression data and annotations. - Ricardo Martínez; Nicolas Pasquier; Claude Pasquier (Bioinform., 2008)

Mining Gene Expression Data using Domain Knowledge. - Nicolas Pasquier; Claude Pasquier; Laurent Brisson; Martine Collard (Int. J. Softw. Informatics, 2008)

MOSCFRA: A Multi-objective Genetic Approach for Simultaneous Clustering and Gene Ranking. - Kartick Chandra Mondal; Anirban Mukhopadhyay 001; Ujjwal Maulik; Sanghamitra Bandyopadhyay; Nicolas Pasquier (CIBB, 2010)

Prediction of Protein Interactions on HIV-1-Human PPI Data using a Novel Closure-based Integrated Approach. - Kartick Chandra Mondal; Nicolas Pasquier; Anirban Mukhopadhyay 001; Célia da Costa Pereira; Ujjwal Maulik; Andrea Tettamanzi (BIOINFORMATICS, 2012)

A New Approach for Association Rule Mining and Bi-clustering Using Formal Concept Analysis. - Kartick Chandra Mondal; Nicolas Pasquier; Anirban Mukhopadhyay 001; Ujjwal Maulik; Sanghamitra Bandyopadhyay (MLDM, 2012)

The BioKET Biodiversity Data Warehouse: Data and Knowledge Integration and Extraction. - Somsack Inthasone; Nicolas Pasquier; Andrea G. B. Tettamanzi; Célia da Costa Pereira (IDA, 2014)

Frequent Closed Patterns Based Multiple Consensus Clustering. - Atheer Al-Najdi; Nicolas Pasquier; Frédéric Precioso (ICAISC (2), 2016)

Multiple Consensuses Clustering by Iterative Merging/Splitting of Clustering Patterns. - Atheer Al-Najdi; Nicolas Pasquier; Frédéric Precioso (MLDM, 2016)

Using Frequent Closed Pattern Mining to Solve a Consensus Clustering Problem. - Atheer Al-Najdi; Nicolas Pasquier; Frédéric Precioso (SEKE, 2016)

Using Closed Patterns to Solve the Consensus Clustering Problem. - Atheer Al-Najdi; Nicolas Pasquier; Frédéric Precioso (Int. J. Softw. Eng. Knowl. Eng., 2016)

Multi-objective Clustering Ensemble for Varying Number of Clusters. - Sujoy Chatterjee; Nicolas Pasquier; Anirban Mukhopadhyay 001 (SITIS, 2018)

Semi-supervised Consensus Clustering Based on Frequent Closed Itemsets. - Tianshu Yang; Nicolas Pasquier; Antoine Hom; Laurent Dollé; Frédéric Precioso (CIKM, 2020)

Ensemble Clustering based Semi-supervised Learning for Revenue Accounting Workflow Management. - Tianshu Yang; Nicolas Pasquier; Frédéric Precioso (DATA, 2020)

Multi-objective Consensus Clustering Framework for Flight Search Recommendation. - Sujoy Chatterjee; Nicolas Pasquier; Simon Nanty; Maria A. Zuluaga (CoRR, 2020)

Semi-supervised consensus clustering based on closed patterns. - Tianshu Yang; Nicolas Pasquier; Frédéric Precioso (Knowl. Based Syst., 2022)