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ORCIDNicolas Pasquier
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- affiliation: University of Nice Sophia Antipolis, Nice, France
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2020 – today
- 2022
[j9]Tianshu Yang
, Nicolas Pasquier, Frédéric Precioso:
Semi-supervised consensus clustering based on closed patterns. Knowl. Based Syst. 235: 107599 (2022)- 2020
- [c22]Tianshu Yang, Nicolas Pasquier, Antoine Hom, Laurent Dollé, Frédéric Precioso:
Semi-supervised Consensus Clustering Based on Frequent Closed Itemsets. CIKM 2020: 3341-3344 - [c21]Tianshu Yang, Nicolas Pasquier, Frédéric Precioso:
Ensemble Clustering based Semi-supervised Learning for Revenue Accounting Workflow Management. DATA 2020: 283-293 - [i1]Sujoy Chatterjee, Nicolas Pasquier, Simon Nanty, Maria A. Zuluaga:
Multi-objective Consensus Clustering Framework for Flight Search Recommendation. CoRR abs/2002.10241 (2020)
2010 – 2019
- 2018
- [c20]Sujoy Chatterjee, Nicolas Pasquier, Anirban Mukhopadhyay:
Multi-objective Clustering Ensemble for Varying Number of Clusters. SITIS 2018: 387-395 - 2016
- [j8]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): 1379-1398 (2016) - [c19]Atheer Al-Najdi, Nicolas Pasquier, Frédéric Precioso:
Frequent Closed Patterns Based Multiple Consensus Clustering. ICAISC (2) 2016: 14-26 - [c18]Atheer Al-Najdi, Nicolas Pasquier, Frédéric Precioso:
Multiple Consensuses Clustering by Iterative Merging/Splitting of Clustering Patterns. MLDM 2016: 790-804 - [c17]Atheer Al-Najdi, Nicolas Pasquier, Frédéric Precioso:
Using Frequent Closed Pattern Mining to Solve a Consensus Clustering Problem. SEKE 2016: 454-461 - 2014
- [c16]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: 131-142 - 2012
- [c15]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: 164-173 - [c14]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: 86-101 - 2010
- [c13]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: 174-187
2000 – 2009
- 2008
- [j7]Ricardo Martínez, Nicolas Pasquier, Claude Pasquier:
GenMiner: mining non-redundant association rules from integrated gene expression data and annotations. Bioinform. 24(22): 2643-2644 (2008) - [j6]Nicolas Pasquier, Claude Pasquier, Laurent Brisson, Martine Collard:
Mining Gene Expression Data using Domain Knowledge. Int. J. Softw. Informatics 2(2): 215-231 (2008) - [c12]Ricardo Martínez, Nicolas Pasquier, Claude Pasquier:
Mining Association Rule Bases from Integrated Genomic Data and Annotations. CIBB 2008: 78-90 - 2007
- [c11]Ricardo Martínez, Claude Pasquier, Nicolas Pasquier:
GenMiner: Mining Informative Association Rules from Genomic Data. BIBM 2007: 15-22 - 2006
- [j5]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) - [c10]Ricardo Martínez, Nicolas Pasquier, Claude Pasquier, Lucero Lopez-Perez:
Interpreting Microarray Experiments Via Co-expressed Gene Groups Analysis (CGGA). Discovery Science 2006: 316-320 - 2005
- [j4]Nicolas Pasquier, Rafik Taouil, Yves Bastide, Gerd Stumme, Lotfi Lakhal:
Generating a Condensed Representation for Association Rules. J. Intell. Inf. Syst. 24(1): 29-60 (2005) - 2002
- [j3]Gerd Stumme, Rafik Taouil, Yves Bastide, Nicolas Pasquier, Lotfi Lakhal:
Computing iceberg concept lattices with T. Data Knowl. Eng. 42(2): 189-222 (2002) - 2001
- [c9]Gerd Stumme, Rafik Taouil, Yves Bastide, Nicolas Pasquier, Lotfi Lakhal:
Intelligent Structuring and Reducing of Association Rules with Formal Concept Analysis. KI/ÖGAI 2001: 335-350 - 2000
- [b1]Nicolas Pasquier:
Data Mining : algorithmes d'extraction et de réduction des règles d'association dans les bases de données. Blaise Pascal University, Clermont-Ferrand, France, 2000 - [j2]Yves Bastide, Rafik Taouil, Nicolas Pasquier, Gerd Stumme, Lotfi Lakhal:
Mining Frequent Patterns with Counting Inference. SIGKDD Explor. 2(2): 66-75 (2000) - [c8]Yves Bastide, Rafik Taouil, Nicolas Pasquier, Gerd Stumme, Lotfi Lakhal:
Levelwise Search of Frequent Patterns with Counting Inference. BDA 2000 - [c7]Yves Bastide, Nicolas Pasquier, Rafik Taouil, Gerd Stumme, Lotfi Lakhal:
Mining Minimal Non-redundant Association Rules Using Frequent Closed Itemsets. Computational Logic 2000: 972-986 - [c6]Rafik Taouil, Nicolas Pasquier, Yves Bastide, Lotfi Lakhal:
Mining Bases for Association Rules Using Closed Sets. ICDE 2000: 307 - [c5]Nicolas Pasquier:
Extraction de bases pour les règles d'association à partir des itemsets fermés fréquents. INFORSID 2000: 56-77 - [c4]Gerd Stumme, Rafik Taouil, Yves Bastide, Nicolas Pasquier, Lotfi Lakhal:
Fast Computation of Concept lattices Using Data Mining Techniques. KRDB 2000: 129-139
1990 – 1999
- 1999
- [j1]Nicolas Pasquier, Yves Bastide, Rafik Taouil, Lotfi Lakhal:
Efficient Mining of Association Rules Using Closed Itemset Lattices. Inf. Syst. 24(1): 25-46 (1999) - [c3]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: 361-381 - [c2]Nicolas Pasquier, Yves Bastide, Rafik Taouil, Lotfi Lakhal:
Discovering Frequent Closed Itemsets for Association Rules. ICDT 1999: 398-416 - 1998
- [c1]Nicolas Pasquier, Yves Bastide, Rafik Taouil, Lotfi Lakhal:
Pruning closed itemset lattices for associations rules. BDA 1998
Coauthor Index
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