International Journals

Atheer Al-Najdi, Nicolas Pasquier, Frédéric Precioso. Using Frequent Closed Itemsets to Solve the Consensus Clustering Problem in International Journal of Software Engineering and Knowledge Engineering, World Scientific, 26(10):1379-1397, December 2016, DOI 10.1142/S021819401640009X.

Kartick Chandra Mondal, Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Nicolas Pasquier. MOSCFRA: A Multi-Objective Genetic Approach for Simultaneous Clustering and Gene Ranking in Lecture Notes in Bioinformatics, Post-proceedings of the 7th CIBB International Meeting, Revised Selected Papers, pages 174-187, LNCS 6685, Springer, August 2011, ISBN 978-3-642-21945-0

Ricardo Martinez, Nicolas Pasquier, Claude Pasquier. Mining Association Rule Bases from Integrated Genomic Data and Annotations in Lecture Notes in Bioinformatics, pages 78-90, LNCS 5488, Springer, April 2009, ISBN 978-3-642-02503-7

Nicolas Pasquier, Claude Pasquier, Laurent Brisson, Martine Collard. Mining Gene Expression Data using Domain Knowledge in International Journal of Software and Informatics, 2(2):215-231, December 2008

Ricardo Martinez, Nicolas Pasquier, Claude Pasquier. GenMiner: Mining Non-Redundant Association Rules from Integrated Gene Expression Data and Annotations in Bioinformatics, 24(22):2643-2644, Oxford University Press, November 2008

Ricardo Martinez, Nicolas Pasquier, Claude Pasquier, Martine Collard, Lucero Lopez-Perez. Co-expressed Gene Groups Analysis (CGGA): An Automatic Tool for the Interpretation of Microarray Experiments in Journal of Integrative Bioinformatics, 3(12):1-12, August 2006

Nicolas Pasquier, Rafik Taouil, Yves Bastide, Gerd Stumme, Lotfi Lakhal. Generating a Condensed Representation for Association Rules in Journal of Intelligent Information Systems, 24(1):29-60, Springer, February 2005

Gerd Stumme, Rafik Taouil, Yves Bastide, Nicolas Pasquier, Lotfi Lakhal. Computing Iceberg Concept Lattices with Titanic in Data and Knowledge Engineering, 42(2):189-222, Elsevier, August 2002

Nicolas Pasquier, Yves Bastide, Rafik Taouil, Lotfi Lakhal. Closed Sets based Discovery of Small Covers for Association Rules Extended Version in Networking and Information Systems, 3(2):349-377, June 2001

Yves Bastide, Rafik Taouil, Nicolas Pasquier, Gerd Stumme, Lotfi Lakhal. Mining Frequent Patterns with Counting Inference in SIGKDD Explorations, 2(2):66-75, ACM, December 2000

Nicolas Pasquier, Yves Bastide, Rafik Taouil, Lotfi Lakhal. Efficient Mining of Association Rules using Closed Itemset Lattices in Information Systems, 24(1):25-46, Elsevier, March 1999