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Discovering frequent closed itemsets for association rules

Nicolas Pasquier , Yves Bastide , Rafik Taouil , Lotfi Lakhal
ICDT'1999 International Conference on Database Theory, Jan 1999, Jerusalem, Israel. pp.398-416
Communication dans un congrès hal-00467747v1
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Closed sets based discovery of association rules

Nicolas Pasquier
GDR-I3'1999 Meeting, Mar 1999, Marseille, France. pp.55-64
Communication dans un congrès hal-00467749v1

Multi-objective Consensus Clustering Framework for Flight Search Recommendation

Sujoy Chatterjee , Nicolas Pasquier , Simon Nanty , Maria A Zuluaga
ICTIS'2020 International Conference on Information and Communication Technology for Intelligent Systems (Acceptance Rate: 23%), May 2020, Ahmedabad, India. p. 385-394, ⟨10.1007/978-981-15-7106-0_38⟩
Communication dans un congrès hal-02567400v1

A Multi-Level Consensus Clustering Framework for Customer Choice Modelling in Travel Industry

Sujoy Chatterjee , Nicolas Pasquier
iCETiC'2020 International Conference on Emerging Technologies in Computing (iCETiC'2020 Best Paper Award), Aug 2020, London, United Kingdom. pp. 142-157, ⟨10.1007/978-3-030-60036-5_10⟩
Communication dans un congrès hal-02889946v1
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HASAR : mining sequential association rules for atherosclerosis risk factor analysis

Laurent Brisson , Nicolas Pasquier , Céline Hebert , Martine Collard
Workshop in 8th PKDD conference (Principles and Practice of Knowledge Discovery in Databases), Sep 2004, Pisa, Italy
Communication dans un congrès hal-02341338v1
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Mining association rule bases from integrated genomic data and annotations

Ricardo Martinez , Nicolas Pasquier , Claude Pasquier
Sth International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB'09), Oct 2008, Vietri sul Mare, Salerno, Italy. pp.78-90, ⟨10.1007/978-3-642-02504-4_7⟩
Communication dans un congrès hal-01154860v1
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Analyse des groupes de gènes co-exprimés (AGGC) : un outil automatique pour l’interpretation des expériences de biopuces

Ricardo Martinez , Nicolas Pasquier , Claude Pasquier , Martine Collard , Lucero Lopez-Perez
13ème Rencontres de la Société Francophone de Classification (SFC’06), Sep 2006, Metz, France
Communication dans un congrès hal-01151505v1

Intelligent Structuring and Reducing of Association Rules with Formal Concept Analysis

Gerd Stumme , Rafik Taouil , Yves Bastide , Nicolas Pasquier , Lotfi Lakhal
24th German / 9th Austrian Conference on Artificial Intelligence - KI 2001, Sep 2001, Vienna, Austria, 15 p
Communication dans un congrès inria-00100665v1
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Mining association rule bases from integrated genomic data and annotations

Ricardo Martinez , Nicolas Pasquier , Claude R. Pasquier
CIBB international conference on Computational Intelligence methods for Bioinformatics and Biostatistics, Oct 2008, Salerno, Italy. pp.33-43
Communication dans un congrès hal-00361729v1
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Simultaneous Clustering and Gene Ranking: A Multiobjective Genetic Approach

Kartick Chandra Mondal , Anirban Mukhopadhyay , Ujjwal Maulik , Sanghamitra Bandhyapadhyay , Nicolas Pasquier
International Conference on Computational Intelligence for Bioinformatics and Biostatistics (CIBB'2010), Sep 2010, Palermo, Italy. pp.104-114
Communication dans un congrès hal-00578845v1

The BioKET Plant Data Warehouse: Ontology Mapping Concept and Visualization

Somsack Inthasone , Nicolas Pasquier , Andrea G. B. Tettamanzi
Botanical Research in Tropical Asia, International Congress, Dec 2015, Vientiane, Laos. , 2015
Poster de conférence hal-01531039v1

Galois Closure Based Association Rule Mining from Biological Data

Kartick Chandra Mondal , Nicolas Pasquier
Mourad Elloumi, Albert Y. Zomaya. Biological Knowledge Discovery Handbook: Preprocessing, Mining and Postprocessing of Biological Data, John Wiley & Sons, chapter 35, p. 761-802, 2014, Wiley Series in Bioinformatics, 978-1-118-13273-9. ⟨10.1002/9781118617151.ch35⟩
Chapitre d'ouvrage hal-01305776v1

Management Turnover, Strategic Ambiguity and Supply Incentives

Nicolas Pasquier , Pascal Toquebeuf
B.E. Journal in Theoretical Economics, Topics in Theoretical Economics, 2022, ⟨10.1515/bejte-2021-0070⟩
Article dans une revue hal-03729487v1
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Levelwise search of frequent patterns with counting inference

Yves Bastide , Rafik Taouil , Nicolas Pasquier , Gerd Stumme , Lotfi Lakhal
Bases de Données Avancées - BDA'00, Oct 2000, Blois, 16 p
Communication dans un congrès inria-00099065v1

Using Closed Patterns to Solve the Consensus Clustering Problem

Atheer Al-Najdi , Nicolas Pasquier , Frédéric Precioso
International Journal of Software Engineering and Knowledge Engineering, 2017, 26 (09n10), pp.1379-1397. ⟨10.1142/S021819401640009X⟩
Article dans une revue hal-02540835v1

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 , et al.
International Conference on Bioinformatics Models, Methods and Algorithms, Feb 2012, Vilamoura, Portugal. pp.164-173
Communication dans un congrès hal-00684571v1
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Exploratory analysis of cancer SAGE data

Ricardo Martinez , Richard Christen , Claude R. Pasquier , Nicolas Pasquier
PKDD'2005 International Conference, Oct 2005, Porto, Portugal. 6 p
Communication dans un congrès hal-00363020v1
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Analyse des groupes de gènes co-exprimés : un outil automatique pour l'interprétation des expériences de biopuces (version étendue)

Ricardo Martinez , Nicolas Pasquier , Claude R. Pasquier , Martine Collard , Lucero Lopez-Perez
Revue des Nouvelles Technologies de l'Information, 2008, Classification : points de vue croisés, Chapitre XXI
Article dans une revue hal-00361718v1
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Pascal : un algorithme d'extraction des motifs fréquents

Yves Bastide , Rafik Taouil , Nicolas Pasquier , Gerd Stumme , Lotfi Lakhal
Revue des Sciences et Technologies de l'Information - Série TSI : Technique et Science Informatiques, 2002, 21 (1), pp.65-95
Article dans une revue hal-00467760v1

Ensemble Clustering Based Semi-Supervised Learning for Revenue Accounting Workflow Management

Tianshu Yang , Nicolas Pasquier , Frédéric Precioso
DATA'2020 International Conference on Data Science, Technology and Applications (Acceptance Rate: 14%), Jul 2020, Paris, France. pp. 283-293, ⟨10.5220/0009883802830293⟩
Communication dans un congrès hal-02540832v1
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Mining association rules using formal concept analysis

Nicolas Pasquier
ICCS'2000 International Conference on Conceptual Structures, Aug 2000, Darmstadt, Germany. pp.259-264
Communication dans un congrès hal-00467752v1

The Pervasiveness of Machine Learning in Omics Science

Ronnie Alves , Claude Pasquier , Nicolas Pasquier
ECML/PKDD 2014 - International Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases Tutorial T3, Sep 2014, Nancy, France
Communication dans un congrès hal-01330594v1
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Generating a condensed representation for association rules

Nicolas Pasquier , Rafik Taouil , Yves Bastide , Gerd Stumme , Lotfi Lakhal
Journal of Intelligent Information Systems, 2005, 24 (1), pp.29-60. ⟨10.1007/s10844-005-0266-z⟩
Article dans une revue hal-00363015v1
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MOSCFRA: A Multi-objective Genetic Approach for Simultaneous Clustering and Gene Ranking

Kartick Chandra Mondal , Anirban Mukhopadhyay , Ujjwal Maulik , Sanghamitra Bandhyapadhyay , Nicolas Pasquier
Computational Intelligence Methods for Bioinformatics and Biostatistics, LNCS 6685, , pp.174-187, 2011, Lecture Notes in Bioinformatics, ⟨10.1007/978-3-642-21946-7_14⟩
Chapitre d'ouvrage hal-00616714v1

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

Kartick Chandra Mondal , Nicolas Pasquier , Mukhopadhyay Anirban , Ujjwal Maulik , Bandhopadyay Sanghamitra
MLDM'2012 International Conference on Machine Learning and Data Mining, Jul 2012, Berlin, Germany. pp.86-101, ⟨10.1007/978-3-642-31537-4_8⟩
Communication dans un congrès hal-01330095v1

Frequent Closed Patterns Based Multiple Consensus Clustering

Atheer Al-Najdi , Nicolas Pasquier , Frédéric Precioso
International Conference on Artificial Intelligence and Soft Computing, Jun 2016, Zakopane, Poland. pp.14-26, ⟨10.1007/978-3-319-39384-1_2⟩
Communication dans un congrès hal-01329545v1

Semi-supervised Consensus Clustering Based on Frequent Closed Itemsets

Tianshu Yang , Nicolas Pasquier , Antoine Hom , Laurent Dollé , Frédéric Precioso
CIKM'2020 29th ACM International Conference on Information and Knowledge Management (Acceptance Rate: 18%), Oct 2020, Galway, Ireland. pp.3341-3344, ⟨10.1145/3340531.3417453⟩
Communication dans un congrès hal-02917863v1

Clustering Techniques for Revenue Accounting Error-Handling Automation

Tianshu Yang , Nicolas Pasquier , Frédéric Precioso , Antoine Hom , Laurent Dollé
France, Patent n° : ID2326WW00. 2020
Brevet hal-02926737v1

Exploratory analysis of cancer SAGE data

Ricardo Martinez , Richard Christen , Claude Pasquier , Nicolas Pasquier
9th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'05), Discovery Challenge, Oct 2005, Porto, Portugal
Communication dans un congrès hal-01154853v1
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GenMiner: mining informative association rules from genomic data

Ricardo Martinez , Claude Pasquier , Nicolas Pasquier
IEEE International Conference on Bioinformatics and Biomedicine (BIBM'07), Nov 2007, Fremont, United States. ⟨10.1109/BIBM.2007.49⟩
Communication dans un congrès hal-01154856v1