Nicolas Pasquier

Publication Activity (10 Years)

Years Active: 1998-2022
Publications (10 Years): 9

Top Venues

MLDM

DATA

CoRR

IDA

Blaise Pascal University, Clermont-Ferrand, France (PHD)

Education History

Blaise Pascal University, Clermont-Ferrand, France

PHD

Publications

Tianshu Yang, Nicolas Pasquier, Frédéric Precioso
Semi-supervised consensus clustering based on closed patterns. Knowl. Based Syst. 235 (2022)
Tianshu Yang, Nicolas Pasquier, Frédéric Precioso
Ensemble Clustering based Semi-supervised Learning for Revenue Accounting Workflow Management. DATA (2020)
Sujoy Chatterjee, Nicolas Pasquier, Simon Nanty, Maria A. Zuluaga
Multi-objective Consensus Clustering Framework for Flight Search Recommendation. CoRR (2020)
Tianshu Yang, Nicolas Pasquier, Antoine Hom, Laurent Dollé, Frédéric Precioso
Semi-supervised Consensus Clustering Based on Frequent Closed Itemsets. CIKM (2020)
Sujoy Chatterjee, Nicolas Pasquier, Anirban Mukhopadhyay
Multi-objective Clustering Ensemble for Varying Number of Clusters. SITIS (2018)
Atheer Al-Najdi, Nicolas Pasquier, Frédéric Precioso
Multiple Consensuses Clustering by Iterative Merging/Splitting of Clustering Patterns. MLDM (2016)
Atheer Al-Najdi, Nicolas Pasquier, Frédéric Precioso
Using Closed Patterns to Solve the Consensus Clustering Problem. Int. J. Softw. Eng. Knowl. Eng. 26 (9-10) (2016)
Atheer Al-Najdi, Nicolas Pasquier, Frédéric Precioso
Frequent Closed Patterns Based Multiple Consensus Clustering. ICAISC (2) (2016)
Atheer Al-Najdi, Nicolas Pasquier, Frédéric Precioso
Using Frequent Closed Pattern Mining to Solve a Consensus Clustering Problem. SEKE (2016)
Somsack Inthasone, Nicolas Pasquier, Andrea G. B. Tettamanzi, Célia da Costa Pereira
The BioKET Biodiversity Data Warehouse: Data and Knowledge Integration and Extraction. IDA (2014)
Kartick Chandra Mondal, Nicolas Pasquier, Anirban Mukhopadhyay, Célia da Costa Pereira, Ujjwal Maulik, Andrea Tettamanzi
Prediction of Protein Interactions on HIV-1-Human PPI Data using a Novel Closure-based Integrated Approach. BIOINFORMATICS (2012)
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. MLDM (2012)
Kartick Chandra Mondal, Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Nicolas Pasquier
MOSCFRA: A Multi-objective Genetic Approach for Simultaneous Clustering and Gene Ranking. CIBB (2010)
Ricardo Martínez, Nicolas Pasquier, Claude Pasquier
Mining Association Rule Bases from Integrated Genomic Data and Annotations. CIBB (2008)
Ricardo Martínez, Nicolas Pasquier, Claude Pasquier
GenMiner: mining non-redundant association rules from integrated gene expression data and annotations. Bioinform. 24 (22) (2008)
Nicolas Pasquier, Claude Pasquier, Laurent Brisson, Martine Collard
Mining Gene Expression Data using Domain Knowledge. Int. J. Softw. Informatics 2 (2) (2008)
Ricardo Martínez, Claude Pasquier, Nicolas Pasquier
GenMiner: Mining Informative Association Rules from Genomic Data. BIBM (2007)
Ricardo Martínez, Nicolas Pasquier, Claude Pasquier, Martine Collard, Lucero Lopez-Perez
Co-expressed gene group analysis (CGGA): An automatic tool for the interpretation of microarray experiments. J. Integr. Bioinform. 3 (2) (2006)
Ricardo Martínez, Nicolas Pasquier, Claude Pasquier, Lucero Lopez-Perez
Interpreting Microarray Experiments Via Co-expressed Gene Groups Analysis (CGGA). Discovery Science (2006)
Nicolas Pasquier, Rafik Taouil, Yves Bastide, Gerd Stumme, Lotfi Lakhal
Generating a Condensed Representation for Association Rules. J. Intell. Inf. Syst. 24 (1) (2005)
Gerd Stumme, Rafik Taouil, Yves Bastide, Nicolas Pasquier, Lotfi Lakhal
Computing iceberg concept lattices with T. Data Knowl. Eng. 42 (2) (2002)
Gerd Stumme, Rafik Taouil, Yves Bastide, Nicolas Pasquier, Lotfi Lakhal
Intelligent Structuring and Reducing of Association Rules with Formal Concept Analysis. KI/ÖGAI (2001)
Nicolas Pasquier
Extraction de bases pour les règles d'association à partir des itemsets fermés fréquents. INFORSID (2000)
Rafik Taouil, Nicolas Pasquier, Yves Bastide, Lotfi Lakhal
Mining Bases for Association Rules Using Closed Sets. ICDE (2000)
Yves Bastide, Nicolas Pasquier, Rafik Taouil, Gerd Stumme, Lotfi Lakhal
Mining Minimal Non-redundant Association Rules Using Frequent Closed Itemsets. Computational Logic (2000)
Gerd Stumme, Rafik Taouil, Yves Bastide, Nicolas Pasquier, Lotfi Lakhal
Fast Computation of Concept lattices Using Data Mining Techniques. KRDB (2000)
Yves Bastide, Rafik Taouil, Nicolas Pasquier, Gerd Stumme, Lotfi Lakhal
Mining Frequent Patterns with Counting Inference. SIGKDD Explor. 2 (2) (2000)
Yves Bastide, Rafik Taouil, Nicolas Pasquier, Gerd Stumme, Lotfi Lakhal
Levelwise Search of Frequent Patterns with Counting Inference. BDA (2000)
Nicolas Pasquier, Yves Bastide, Rafik Taouil, Lotfi Lakhal
Closed Set Based Discovery of Small Covers for Association Rules. Proc. 15èmes Journées Bases de Données Avancées, BDA (1999)
Nicolas Pasquier, Yves Bastide, Rafik Taouil, Lotfi Lakhal
Efficient Mining of Association Rules Using Closed Itemset Lattices. Inf. Syst. 24 (1) (1999)
Nicolas Pasquier, Yves Bastide, Rafik Taouil, Lotfi Lakhal
Discovering Frequent Closed Itemsets for Association Rules. ICDT (1999)
Nicolas Pasquier, Yves Bastide, Rafik Taouil, Lotfi Lakhal
Pruning closed itemset lattices for associations rules. BDA (1998)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nicolas Pasquier