Nicolas Pasquier

According to our database, Nicolas Pasquier authored at least 33 papers between 1998 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Semi-supervised consensus clustering based on closed patterns.

Tianshu Yang, Nicolas Pasquier, Frédéric Precioso

Knowl. Based Syst., 2022

2020

Multi-objective Consensus Clustering Framework for Flight Search Recommendation.

Sujoy Chatterjee, Nicolas Pasquier, Simon Nanty, Maria A. Zuluaga

CoRR, 2020

Ensemble Clustering based Semi-supervised Learning for Revenue Accounting Workflow Management.

Tianshu Yang, Nicolas Pasquier, Frédéric Precioso

Proceedings of the 9th International Conference on Data Science, 2020

Semi-supervised Consensus Clustering Based on Frequent Closed Itemsets.

Tianshu Yang, Nicolas Pasquier, Antoine Hom, Laurent Dollé, Frédéric Precioso

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2018

Multi-objective Clustering Ensemble for Varying Number of Clusters.

Sujoy Chatterjee, Nicolas Pasquier, Anirban Mukhopadhyay

Proceedings of the 14th International Conference on Signal-Image Technology & Internet-Based Systems, 2018

2016

Using Closed Patterns to Solve the Consensus Clustering Problem.

Atheer Al-Najdi, Nicolas Pasquier, Frédéric Precioso

Int. J. Softw. Eng. Knowl. Eng., 2016

Using Frequent Closed Pattern Mining to Solve a Consensus Clustering Problem.

Atheer Al-Najdi, Nicolas Pasquier, Frédéric Precioso

Proceedings of the 28th International Conference on Software Engineering and Knowledge Engineering, 2016

Multiple Consensuses Clustering by Iterative Merging/Splitting of Clustering Patterns.

Atheer Al-Najdi, Nicolas Pasquier, Frédéric Precioso

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016

Frequent Closed Patterns Based Multiple Consensus Clustering.

Atheer Al-Najdi, Nicolas Pasquier, Frédéric Precioso

Proceedings of the Artificial Intelligence and Soft Computing, 2016

2014

The BioKET Biodiversity Data Warehouse: Data and Knowledge Integration and Extraction.

Somsack Inthasone, Nicolas Pasquier, Andrea G. B. Tettamanzi, Célia da Costa Pereira

Proceedings of the Advances in Intelligent Data Analysis XIII, 2014

2012

A New Approach for Association Rule Mining and Bi-clustering Using Formal Concept Analysis.

Kartick Chandra Mondal, Nicolas Pasquier, Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2012

Prediction of Protein Interactions on HIV-1-Human PPI Data using a Novel Closure-based Integrated Approach.

Kartick Chandra Mondal, Nicolas Pasquier, Anirban Mukhopadhyay, Célia da Costa Pereira, Ujjwal Maulik, Andrea Tettamanzi

Proceedings of the BIOINFORMATICS 2012 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Vilamoura, Algarve, Portugal, 1, 2012

2010

MOSCFRA: A Multi-objective Genetic Approach for Simultaneous Clustering and Gene Ranking.

Kartick Chandra Mondal, Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Nicolas Pasquier

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2010

2008

Mining Gene Expression Data using Domain Knowledge.

Nicolas Pasquier, Claude Pasquier, Laurent Brisson, Martine Collard

Int. J. Softw. Informatics, 2008

GenMiner: mining non-redundant association rules from integrated gene expression data and annotations.

Ricardo Martínez, Nicolas Pasquier, Claude Pasquier

Bioinform., 2008

Mining Association Rule Bases from Integrated Genomic Data and Annotations.

Ricardo Martínez, Nicolas Pasquier, Claude Pasquier

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2008

2007

GenMiner: Mining Informative Association Rules from Genomic Data.

Ricardo Martínez, Claude Pasquier, Nicolas Pasquier

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2007

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

Interpreting Microarray Experiments Via Co-expressed Gene Groups Analysis (CGGA).

Ricardo Martínez, Nicolas Pasquier, Claude Pasquier, Lucero Lopez-Perez

Proceedings of the Discovery Science, 9th International Conference, 2006

2005

Generating a Condensed Representation for Association Rules.

Nicolas Pasquier, Rafik Taouil, Yves Bastide, Gerd Stumme, Lotfi Lakhal

J. Intell. Inf. Syst., 2005

2002

Computing iceberg concept lattices with T.

Gerd Stumme, Rafik Taouil, Yves Bastide, Nicolas Pasquier, Lotfi Lakhal

Data Knowl. Eng., 2002

2001

Intelligent Structuring and Reducing of Association Rules with Formal Concept Analysis.

Gerd Stumme, Rafik Taouil, Yves Bastide, Nicolas Pasquier, Lotfi Lakhal

Proceedings of the KI 2001: Advances in Artificial Intelligence, 2001

2000

Data Mining : algorithmes d'extraction et de réduction des règles d'association dans les bases de données.

Nicolas Pasquier

PhD thesis, 2000

Mining Frequent Patterns with Counting Inference.

Yves Bastide, Rafik Taouil, Nicolas Pasquier, Gerd Stumme, Lotfi Lakhal

SIGKDD Explor., 2000

Fast Computation of Concept lattices Using Data Mining Techniques.

Gerd Stumme, Rafik Taouil, Yves Bastide, Nicolas Pasquier, Lotfi Lakhal

Proceedings of the 7th International Workshop on Knowledge Representation meets Databases (KRDB 2000), 2000

Extraction de bases pour les règles d'association à partir des itemsets fermés fréquents.

Nicolas Pasquier

Proceedings of the Actes du XVIIIème Congrès INFORSID, Lyon, France, 16-19 mai, 2000, 2000

Mining Bases for Association Rules Using Closed Sets.

Rafik Taouil, Nicolas Pasquier, Yves Bastide, Lotfi Lakhal

Proceedings of the 16th International Conference on Data Engineering, San Diego, California, USA, February 28, 2000

Mining Minimal Non-redundant Association Rules Using Frequent Closed Itemsets.

Yves Bastide, Nicolas Pasquier, Rafik Taouil, Gerd Stumme, Lotfi Lakhal

Proceedings of the Computational Logic, 2000

Levelwise Search of Frequent Patterns with Counting Inference.

Yves Bastide, Rafik Taouil, Nicolas Pasquier, Gerd Stumme, Lotfi Lakhal

Proceedings of the 16èmes Journées Bases de Données Avancées, 2000

1999

Efficient Mining of Association Rules Using Closed Itemset Lattices.

Nicolas Pasquier, Yves Bastide, Rafik Taouil, Lotfi Lakhal

Inf. Syst., 1999

Discovering Frequent Closed Itemsets for Association Rules.

Nicolas Pasquier, Yves Bastide, Rafik Taouil, Lotfi Lakhal

Proceedings of the Database Theory, 1999

Closed Set Based Discovery of Small Covers for Association Rules.

Nicolas Pasquier, Yves Bastide, Rafik Taouil, Lotfi Lakhal

Proceedings of the 15èmes Journées Bases de Données Avancées, 1999

1998

Pruning closed itemset lattices for associations rules.

Nicolas Pasquier, Yves Bastide, Rafik Taouil, Lotfi Lakhal

Proceedings of the 14ème Journées Bases de Données Avancées, 1998