International Conferences

Tianshu Yang, Nicolas Pasquier, Antoine Hom, Laurent Dolle, Frédéric Precioso. Semi-supervised Consensus Clustering Based on Frequent Closed Itemsets in Proceedings of the CIKM'2020 29th ACM International Conference on Information and Knowledge Management, pages 3341-3344, Galway, Ireland, October 2020, ACM Association for Computing Machinery, DOI 10.1145/3340531.3417453 (Acceptance Rate: 18%). Amadeus Intellectual Property Invention Patent ID2326WW00 "Clustering Techniques for Revenue Accounting Error-Handling Automation" Defensive Paper.

Sujoy Chatterjee, Nicolas Pasquier. A Multi-Level Consensus Clustering Framework for Customer Choice Modelling in Travel Industry in Proceedings of the iCETiC'2020 International Conference on Emerging Technologies in Computing, pages 142-157, London, United Kingdom, August 2020, LNICST Vol. 332, Springer International Publishing, DOI 10.1007/978-3-030-60036-5_10, ISBN 978-3-030-60035-8. iCETiC'2020 Best Paper Award.

Tianshu Yang, Nicolas Pasquier, Frédéric Precioso. Ensemble Clustering Based Semi-Supervised Learning for Revenue Accounting Workflow Management in Proceedings of the DATA'2020 International Conference on Data Science, Technology and Applications, pages 283-293, Paris, France, July 2020, SciTePress Science and Technology Publications, DOI: 10.5220/0009883802830293 (Acceptance Rate: 14%). Amadeus Intellectual Property Invention Patent ID2326WW00 "Clustering Techniques for Revenue Accounting Error-Handling Automation" Defensive Paper.

Sujoy Chatterjee, Nicolas Pasquier, Simon Nanty, Maria A. Zuluaga. Multi-objective Consensus Clustering Framework for Flight Search Recommendation in Proceedings of the ICTIS'2020 International Conference on Information and Communication Technology for Intelligent Systems, pages 385-394, Ahmedabad, India, May 2020, Machine Learning for Predictive Analysis, Lecture Notes in Networks and Systems vol. 141, Springer International Publishing, ISBN 978-981-15-7077-3 (Acceptance Rate: 23%).

Sujoy Chatterjee, Nicolas Pasquier, Anirban Mukhopadhyay. Multi-objective Clustering Ensemble for Varying Number of Clusters in Proceedings of the IEEE SITIS'2018 International Conference on Signal-Image Technology & Internet-Based Systems, pages 387-395, Las Palmas de Gran Canaria, Spain, 2018, IEEE Computer Society, ISBN 978-1-5386-9385-8.

Atheer Al-Najdi, Nicolas Pasquier, Frédéric Precioso. Multiple Consensuses Clustering by Iterative Merging/Splitting of Clustering Patterns in Proceedings of the MLDM'2016 International Conference on Machine Learning and Data Mining in Pattern Recognition, pages 790-804, New York, United States of America, 16-21 July 2016, LNAI 9729, Springer International Publishing, ISBN 978-3-319-41920-6 (Acceptance Rate: 34%).

Atheer Al-Najdi, Nicolas Pasquier, Frédéric Precioso. Using Frequent Closed Pattern Mining to Solve a Consensus Clustering Problem in Proceedings of the SEKE'2016 International Conference on Software Engineering & Knowledge Engineering, pages 454-461, Redwood City, United States of America, 1-3 July 2016, KSI Research Inc., ISBN 1-891706-39-X (Acceptance Rate: 29%). SEKE'2016 Third Place Award.

Atheer Al-Najdi, Nicolas Pasquier, Frédéric Precioso. Frequent Closed Patterns Based Multiple Consensus Clustering in Proceedings of the ICAISC'2016 International Conference on Artificial Intelligence and Soft Computing, Part II, pages 14-26, Zakopane, Poland, 12-16 June 2016, LNCS 9693, Springer, ISBN 978-3-319-39384-1.

Somsack Inthasone, Nicolas Pasquier, Andrea G. B. Tettamanzi, Célia da Costa Pereira. The BioKET Biodiversity Data Warehouse: Data and Knowledge Integration and Extraction in Proceedings of the IDA'2014 International Symposium on Intelligent Data Analysis, pages 131-142, Leuven, Belgium, 30th October-1st November 2014, Springer, LNCS 8819, ISBN 978-3-319-12570-1.

Ronnie Alves, Claude Pasquier, Nicolas Pasquier. The Pervasiveness of Machine Learning in Omics Science. ECML/PKDD'2014 International Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases Tutorial T3, Loria, Nancy, France, 15th-19th September 2014.

Kartick Chandra Mondal, Nicolas Pasquier, Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay. A New Approach for Association Rule Mining and Bi-clustering using Formal Concept Analysis in Proceedings of the MLDM'2012 International Conference on Machine Learning and Data Mining, pages 86-101, Berlin, Germany, 13-20 July 2012, LNAI 7376, Springer, ISBN 978-3-642-31536-7 (Acceptance Rate: 24%).

Kartick Chandra Mondal, Nicolas Pasquier, Anirban Mukhopadhyay, Célia da Costa Pereira, Ujjwal Maulik, Andrea G. B. Tettamanzi. Prediction of Protein Interactions on HIV-1 - Human PPI Data Using a Novel Closure-Based Integrated Approach in Proceedings of the BIOINFORMATICS'2012 International Conference on Bioinformatics Models, Methods and Algorithms, pages 164-173, INSTICC, Vilamoura, Portugal, 1-4 February 2012, ISBN 978-989-8425-90-4 (Acceptance Rate: 10%).

Kartick Chandra Mondal, Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Nicolas Pasquier. Simultaneous Clustering and Gene Ranking: A Multiobjective Genetic Approach in Proceedings of the CIBB'2010 International Conference on Computational Intelligence for Bioinformatics and Biostatistics, 10 pages, Proceedings of DMI, Palermo, Italy, 16-18 September 2010, ISBN 978-88-95272-87-0.

Ricardo Martinez, Nicolas Pasquier, Claude Pasquier. Mining Association Rule bases from Integrated Genomic Data and Annotations in Proceedings of the CIBB'2008 International Conference on Computational Intelligence for Bioinformatics and Biostatistics, pages 33-43, Proceedings of DMI, Salerno, Italy, October 2008, ISBN 978-88-903537-1-0.

Ricardo Martinez, Nicolas Pasquier, Claude Pasquier. GenMiner: Mining Informative Association Rules from Genomic Data in Proceedings of the IEEE BIBM'2007 International Conference on Bioinformatics and Biomedicine, pages 15-22, IEEE Computer Science, Silicon Valley, United States, November 2007.

Ricardo Martinez, Nicolas Pasquier, Claude Pasquier, Lucero Lopez-Perez. Interpreting Microarray Experiments via Co-Expressed Gene Groups Analysis in Proceedings of the DS'2006 International Conference on Discovery Science, LNCS 4265, pages 321-325, Springer, Barcelona, Spain, October 2006.

Laurent Brisson, Martine Collard, Nicolas Pasquier. Improving the Knowledge Discovery Process using Ontologies in Proceedings of the First IEEE ICDM'2005 International Workshop on Mining Complex Data, 7 pages, Houston, United States, November 2005.

Ricardo Martinez, Richard Christen, Claude Pasquier, Nicolas Pasquier. Exploratory Analysis of Cancer SAGE Data in Proceedings of the Discovery Challenge of the PKDD'2005 International Conference on Principles of Knowledge Discovery in Databases, LNAI 3721, 6 pages, Springer, Porto, Portugal, October 2005.

Laurent Brisson, Nicolas Pasquier, Céline Hebert, Martine Collard. HASAR: Mining Sequential Association Rules for Atherosclerosis Risk Factor Analysis in Proceedings of the Discovery Challenge of the PKDD'2004 international conference on Principles of Knowledge Discovery in Databases, LNAI 3202, 12 pages, September 2004.

Gerd Stumme, Rafik Taouil, Yves Bastide, Nicolas Pasquier, Lotfi Lakhal. Intelligent Structuring and Reducing of Association Rules with Formal Concept Analysis in Proceedings of the KI'2001 Joint German/Austrian Conference on Artificial Intelligence, LNAI 2174, pages 335-350, Springer, Vienna, Austria, September 2001.

Nicolas Pasquier. Mining Association Rules using Formal Concept Analysis in Proceedings of the ICCS'2000 International Conference on Conceptuel Structures, LNCS 1867, pages 259-264, Springer, Darmstadt, Germany, August 2000.

Gerd Stumme, Rafik Taouil, Yves Bastide, Nicolas Pasquier, Lotfi Lakhal. Fast Computation of Concept Lattices using Data Mining Techniques in Proceedings of the KRDB'2000 7th International Workshop on Knowledge Representation meets Databases, pages 129-139, CEUR Workshop Proceedings, Berlin, Germany, August 2000.

Yves Bastide, Nicolas Pasquier, Rafik Taouil, Gerd Stumme, Lotfi Lakhal. Mining Minimal Non-Redundant Association Rules using Frequent Closed Itemsets in Proceedings of the CL'2000 International Conference on Computational Logic, LNCS 1861, pages 972-986, Springer, London, United Kingdom, July 2000.

Rafik Taouil, Nicolas Pasquier, Yves Bastide, Lotfi Lakhal. Mining Bases for Association Rules using Closed Sets in Proceedings of the ICDE'2000 International Conference on Data Engineering, IEEE Computer Science, San Diego, United States, Febuary 2000.

Nicolas Pasquier, Yves Bastide, Rafik Taouil, Lotfi Lakhal. Discovering Frequent Closed Itemsets for Association Rules in Proceedings of the ICDT'1999 International Conference on Database Theory, LNCS 1540, pages 398-416, Jerusalem, Israel, January 1999.