International Journals
Tianshu Yang, Nicolas Pasquier, Frédéric Precioso. Semi-supervised Consensus Clustering Based on Closed Patterns in Knowledge-Based Systems (Impact Factor 8.038), Volume 235, Article 107599, Elsevier, January 2022, DOI 10.1016/j.knosys.2021.107599.
Nicolas Pasquier, Sujoy Chatterjee. Customer Choice Modelling: A Multi-Level Consensus Clustering Approach in Annals of Emerging Technologies in Computing, 5(2):103-120, International Association for Educators and Researchers (IAER), April 2021, DOI 10.33166/AETiC.2021.02.009.
Sujoy Chatterjee, Nicolas Pasquier, Simon Nanty, Maria A. Zuluaga. Multi-objective Consensus Clustering Framework for Flight Search Recommendation, Extended Version in Arxiv, https://arxiv.org/abs/
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 (Impact Factor 0.476), 26(10):1379-1397, World Scientific Publishing, December 2016, DOI 10.1142/S021819401640009X.
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 (Impact Factor 5.013), 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 (Impact Factor 1.979), 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 (Impact Factor 1.337), 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 (Impact Factor 1.621), 24(1):25-46, Elsevier, March 1999.