Nicolas Pasquier

33 papers A* 1A 2B 2C 2Journal 10Unranked 15

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	Semi-supervised consensus clustering based on closed patterns. Knowl. Based Syst. Tianshu Yang, Nicolas Pasquier, Frédéric Precioso
2020	C	`conf`	Ensemble Clustering based Semi-supervised Learning for Revenue Accounting Workflow Management. DATA Tianshu Yang, Nicolas Pasquier, Frédéric Precioso
2020	J	`jnl`	Multi-objective Consensus Clustering Framework for Flight Search Recommendation. CoRR Sujoy Chatterjee, Nicolas Pasquier, Simon Nanty, Maria A. Zuluaga
2020	A	`conf`	Semi-supervised Consensus Clustering Based on Frequent Closed Itemsets. CIKM Tianshu Yang, Nicolas Pasquier, Antoine Hom, Laurent Dollé, Frédéric Precioso
2018	—	`conf`	Multi-objective Clustering Ensemble for Varying Number of Clusters. SITIS Sujoy Chatterjee, Nicolas Pasquier, Anirban Mukhopadhyay
2016	—	`conf`	Frequent Closed Patterns Based Multiple Consensus Clustering. ICAISC (2) Atheer Al-Najdi, Nicolas Pasquier, Frédéric Precioso
2016	—	`conf`	Multiple Consensuses Clustering by Iterative Merging/Splitting of Clustering Patterns. MLDM Atheer Al-Najdi, Nicolas Pasquier, Frédéric Precioso
2016	J	`jnl`	Using Closed Patterns to Solve the Consensus Clustering Problem. Int. J. Softw. Eng. Knowl. Eng. Atheer Al-Najdi, Nicolas Pasquier, Frédéric Precioso
2016	C	`conf`	Using Frequent Closed Pattern Mining to Solve a Consensus Clustering Problem. SEKE Atheer Al-Najdi, Nicolas Pasquier, Frédéric Precioso
2014	B	`conf`	The BioKET Biodiversity Data Warehouse: Data and Knowledge Integration and Extraction. IDA Somsack Inthasone, Nicolas Pasquier, Andrea G. B. Tettamanzi, Célia da Costa Pereira
2012	—	`conf`	A New Approach for Association Rule Mining and Bi-clustering Using Formal Concept Analysis. MLDM Kartick Chandra Mondal, Nicolas Pasquier, Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay
2012	—	`conf`	Prediction of Protein Interactions on HIV-1-Human PPI Data using a Novel Closure-based Integrated Approach. BIOINFORMATICS Kartick Chandra Mondal, Nicolas Pasquier, Anirban Mukhopadhyay, Célia da Costa Pereira, Ujjwal Maulik, Andrea Tettamanzi
2010	—	`conf`	MOSCFRA: A Multi-objective Genetic Approach for Simultaneous Clustering and Gene Ranking. CIBB Kartick Chandra Mondal, Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Nicolas Pasquier
2008	J	`jnl`	GenMiner: mining non-redundant association rules from integrated gene expression data and annotations. Bioinform. Ricardo Martínez, Nicolas Pasquier, Claude Pasquier
2008	—	`conf`	Mining Association Rule Bases from Integrated Genomic Data and Annotations. CIBB Ricardo Martínez, Nicolas Pasquier, Claude Pasquier
2008	J	`jnl`	Mining Gene Expression Data using Domain Knowledge. Int. J. Softw. Informatics Nicolas Pasquier, Claude Pasquier, Laurent Brisson, Martine Collard
2007	—	`conf`	GenMiner: Mining Informative Association Rules from Genomic Data. BIBM Ricardo Martínez, Claude Pasquier, Nicolas Pasquier
2006	J	`jnl`	Co-expressed gene group analysis (CGGA): An automatic tool for the interpretation of microarray experiments. J. Integr. Bioinform. Ricardo Martínez, Nicolas Pasquier, Claude Pasquier, Martine Collard, Lucero Lopez-Perez
2006	B	`conf`	Interpreting Microarray Experiments Via Co-expressed Gene Groups Analysis (CGGA). Discovery Science Ricardo Martínez, Nicolas Pasquier, Claude Pasquier, Lucero Lopez-Perez
2005	J	`jnl`	Generating a Condensed Representation for Association Rules. J. Intell. Inf. Syst. Nicolas Pasquier, Rafik Taouil, Yves Bastide, Gerd Stumme, Lotfi Lakhal
2002	J	`jnl`	Computing iceberg concept lattices with T. Data Knowl. Eng. Gerd Stumme, Rafik Taouil, Yves Bastide, Nicolas Pasquier, Lotfi Lakhal
2001	—	`conf`	Intelligent Structuring and Reducing of Association Rules with Formal Concept Analysis. KI/ÖGAI Gerd Stumme, Rafik Taouil, Yves Bastide, Nicolas Pasquier, Lotfi Lakhal
2000	—	`—`	Data Mining : algorithmes d'extraction et de réduction des règles d'association dans les bases de données. Nicolas Pasquier
2000	—	`conf`	Extraction de bases pour les règles d'association à partir des itemsets fermés fréquents. INFORSID Nicolas Pasquier
2000	—	`conf`	Fast Computation of Concept lattices Using Data Mining Techniques. KRDB Gerd Stumme, Rafik Taouil, Yves Bastide, Nicolas Pasquier, Lotfi Lakhal
2000	—	`conf`	Levelwise Search of Frequent Patterns with Counting Inference. BDA Yves Bastide, Rafik Taouil, Nicolas Pasquier, Gerd Stumme, Lotfi Lakhal
2000	A*	`conf`	Mining Bases for Association Rules Using Closed Sets. ICDE Rafik Taouil, Nicolas Pasquier, Yves Bastide, Lotfi Lakhal
2000	J	`jnl`	Mining Frequent Patterns with Counting Inference. SIGKDD Explor. Yves Bastide, Rafik Taouil, Nicolas Pasquier, Gerd Stumme, Lotfi Lakhal
2000	—	`conf`	Mining Minimal Non-redundant Association Rules Using Frequent Closed Itemsets. Computational Logic Yves Bastide, Nicolas Pasquier, Rafik Taouil, Gerd Stumme, Lotfi Lakhal
1999	—	`conf`	Closed Set Based Discovery of Small Covers for Association Rules. Proc. 15èmes Journées Bases de Données Avancées, BDA Nicolas Pasquier, Yves Bastide, Rafik Taouil, Lotfi Lakhal
1999	A	`conf`	Discovering Frequent Closed Itemsets for Association Rules. ICDT Nicolas Pasquier, Yves Bastide, Rafik Taouil, Lotfi Lakhal
1999	J	`jnl`	Efficient Mining of Association Rules Using Closed Itemset Lattices. Inf. Syst. Nicolas Pasquier, Yves Bastide, Rafik Taouil, Lotfi Lakhal
1998	—	`conf`	Pruning closed itemset lattices for associations rules. BDA Nicolas Pasquier, Yves Bastide, Rafik Taouil, Lotfi Lakhal