Mehdi Kaytoue
Publications
Publications
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Atomic Patterns for Efficient Computation with Pattern StructuresCONCEPTS 2025 - Second International Joint Conference on Conceptual Knowledge Structures, Sep 2025, Cluj-Napoca, Romania. pp.178-194, ⟨10.1007/978-3-032-03364-2_11⟩ |
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AutoCluster: Un agent pour le clustering basé sur les grands modèles de langue20e Conférence en Recherche d’Information et Applications (CORIA) 32ème Conférence sur le Traitement Automatique des Langues Naturelles (TALN) 27ème Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RECITAL) Les 18e Rencontres Jeunes Chercheurs en RI (RJCRI), 2025, Marseille, France. pp.31-49 |
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DeepLSH: Deep Locality-Sensitive Hash Learning for Fast and Efficient Near-Duplicate Crash Report DetectionIEEE/ACM International Conference on Software Engineering, IEEE/ACM, Apr 2024, Lisbon (Portugal), Portugal |
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Exploiting Formal Concept Analysis for Data Modeling in Data Lakes1st International Joint Conference on Conceptual Knowledge Structures (CONCEPTS 2024), Sep 2024, Cadix, Spain. pp.270-285, ⟨10.1007/978-3-031-67868-4_18⟩ |
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On-Premise AIOps Infrastructure for a Software Editor SME: An Experience ReportESEC/FSE 2023, Dec 2023, San Francisco (California), United States. ⟨10.1145/3611643.3613876⟩ |
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Mining Java Memory Errors using Subjective Interesting Subgroups with Hierarchical TargetsIEEE International Conference on Data Mining Workshops (ICDM Workshops), IEEE, Dec 2023, Shanghai (Chine), China. ⟨10.1109/ICDMW60847.2023.00159⟩ |
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Découverte de sous-groupes de prédictions interprétables pour le triage d'incidentsExtraction et Gestion des Connaissances (EGC'2022), Jan 2022, Blois, France |
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Anytime Subgroup Discovery in High Dimensional Numerical DataIEEE International Conference on Data Science and Advanced Analytics (DSAA), Oct 2021, Porto, Portugal. ⟨10.1109/DSAA53316.2021.9564223⟩ |
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What makes my queries slow?": Subgroup Discovery for SQL Workload Analysis36th IEEE/ACM International Conference on Automated Software Engineering, ASE 2021, Nov 2021, Melbourne, Australia. pp.642-652, ⟨10.1109/ASE51524.2021.9678915⟩ |
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A Behavioral Pattern Mining Approach to Model Player Skills in Rocket LeagueIEEE Conference on Games 2020, Aug 2020, Online, Japan. pp. 267-274, ⟨10.1109/CoG47356.2020.9231739⟩ |
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Building a Representation Context Based on Attribute Exploration AlgorithmsFCA4AI 2020 - 8th International Workshop "What can {FCA} do for Artificial Intelligence?", Sergei O. Kuznetsov; Amedeo Napoli; Sebastian Rudolph, Aug 2020, Santiago de Compostela/Virtual, Spain. pp.141--152 |
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Anytime Subgroup Discovery in Numerical Domains with GuaranteesMachine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Sep 2018, Dublin, Ireland. pp.500-516, ⟨10.1007/978-3-030-10928-8_30⟩ |
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Mining Formal Concepts using Implications between ItemsInternational Conference on Formal Concept Analysis (ICFCA 2019), 2019, Frankfurt, Germany. ⟨10.1007/978-3-030-21462-3_12⟩ |
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Découverte de sous-groupes à partir de données séquentielles par échantillonnage et optimisation localeExtraction et Gestion des Connaissances, Jan 2019, Metz, France. pp.153-164 |
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SeqScout: Using a Bandit Model to Discover Interesting Subgroups in Labeled SequencesIEEE International Conference on Data Science and Advanced Analytics (DSAA), Oct 2019, Washington, United States. pp. 81-90, ⟨10.1109/DSAA.2019.00022⟩ |
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Sampling Representation Contexts with Attribute ExplorationICFCA 2019 - 15th International Conference on Formal Concept Analysis, Jun 2019, Frankfurt, Germany. pp.307-314, ⟨10.1007/978-3-030-21462-3_20⟩ |
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FSSD - A Fast and Efficient Algorithm for Subgroup Set DiscoveryIEEE International Conference on Data Science and Advanced Analytics (DSAA), Oct 2019, Washington DC, United States. ⟨10.1109/DSAA.2019.00023⟩ |
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Pattern Structures for Identifying Biclusters with Coherent Sign ChangesICFCA 2019 - 15th International Conference on Formal Concept Analysis, Jun 2019, Frankfurt, Germany. pp.1-13 |
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Pattern Setups and Their CompletionsThe 14th International Conference on Concept Lattices and Their Applications (CLA 2018), Jun 2018, Olomouc, Czech Republic. pp.243-253 |
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Characterizing Covers of Functional Dependencies using FCACLA 2018 - The 14th International Conference on Concept Lattices and Their Applications, Jun 2018, Olomouc, Czech Republic. pp.279-290 |
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Mining Convex Polygon Patterns with Formal Concept AnalysisThe Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI), Aug 2017, Melbourne, Australia. pp.1425 - 1432, ⟨10.24963/ijcai.2017/197⟩ |
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A Proposition for Sequence Mining Using Pattern StructuresICFCA 2017 - 14th International Conference on Formal Concept Analysis, Peggy Cellier and Sébastien Ferré, Jun 2017, Rennes, France. pp.106-121, ⟨10.1007/978-3-319-59271-8_7⟩ |
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Mining the Lattice of Binary Classifiers for Identifying Duplicate Labels in Behavioral Data30th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, Jun 2017, Arras, France. pp.40-21, ⟨10.1007/978-3-319-60045-1_2⟩ |
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Découverte de sous-groupes avec les arbres de recherche de Monte CarloExtraction et Gestion de Connaissances EGC 2017, Jan 2017, Grenoble, France |
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Contributions to the Formalization of Order-like Dependencies using FCAWhat can FCA do for Artificial Intelligence?, Aug 2016, The Hague, Netherlands |
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Une méthode de découverte de motifs contextualisés dans les traces de mobilité d'une personne16ème Journées Francophones Extraction et Gestion des Connaissances, Jan 2016, Reims, France. pp.63-68 |
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Découverte de labels dupliqués par l'exploration du treillis des classifieurs binaires16 ème journées Francophones Extraction et Gestion des Connaissances, Jan 2016, Reims, France. pp.255--266 |
Évaluation des performances réelles de double-peaux PV ventilées en milieu urbain suivant une approche orientée données2e journées nationales de l’énergie solaire - JNES 2015, Jul 2015, Perpignan, France |
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h(odor): Interactive Discovery of Hypotheses on the Structure-Odor Relationship in NeuroscienceECML/PKDD 2016 (Demo), Sep 2016, Riva del Garda, Italy. pp.17--21 |
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Découverte de motifs intelligibles et caractéristiques d'anomalies dans les traces unitaires16ème Conférence Internationale Francophone sur l'Extraction et la Gestion des Connaissances, Jan 2016, Reims, France |
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What did I do Wrong in my MOBA Game?: Mining Patterns Discriminating Deviant BehavioursInternational Conference on Data Science and Advanced Analytics, Oct 2016, Montréal, Canada |
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Local subgroup discovery for eliciting and understanding new structure-odor relationshipsDiscovery Science: 19th International Conference, DS 2016, Oct 2016, Bari, Italy. pp.19-34, ⟨10.1007/978-3-319-46307-0_2⟩ |
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Characterization of Order-like Dependencies with Formal Concept AnalysisThirteenth International Conference on Concept Lattices and Their Applications (CLA 2016), Jul 2016, Moscou, Russia. pp.123-134 |
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Data-driven performance evaluation of ventilated photovoltaic double-skin facades in the built environment6th International Building Physics Conference, Jun 2015, Turin, Italy. pp.447-452, ⟨10.1016/j.egypro.2015.11.694⟩ |
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Pattern Structures and Concept Lattices for Data Mining and Knowledge ProcessingMachine Learning and Knowledge Discovery in Databases - European Conference, ECMLPKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings., 2015, Porto, Portugal. pp.227-231, ⟨10.1007/978-3-319-23461-8_19⟩ |
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Vers la découverte de modèles exceptionnels locaux : des règles descriptives liant les molécules à leurs odeurs15e Journées Internationales Francophones Extraction et Gestion des Connaissances (EGC 2015), Jan 2015, Luxembourg, Luxembourg. pp.305-316 |
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When cyberathletes conceal their game: Clustering confusion matrices to identify avatar aliasesIEEE International Conference on Data Science and Advanced Analytics, Oct 2015, Paris, France. ⟨10.1109/DSAA.2015.7344824⟩ |
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Gazouille: Detecting and Illustrating Local Events from Geolocalized Social Media StreamsEuropean Conference on Machine Learning and Knowledge Discovery in Databases, 2015, Porto, Portugal. pp.276-280, ⟨10.1007/978-3-319-23461-8_29⟩ |
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Profiling users of the Vélo 'v bike sharing system2nd International Workshop on Mining Urban Data (MUD), Ioannis Katakis, François Schnitzler, Thomas Liebig, Dimitrios Gunopulos, Katharina Morik,Gennady L. Andrienko, Shie Mannor, Jul 2015, Lille, France. pp.63-64 |
Fouille de données pour l’analyse du comportement complexe de systèmes photovoltaïque-thermiques en vrai grandeur et in situ intégrés aux bâtimentsCongrès français de thermique, la thermique de l'habitat et de la ville, May 2015, La Rochelle, France |
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Evaluation des performances réelles de double‑peaux PV ventilées en milieu urbain suivant une approche orientée données,XIIe Colloque Inter-Universitaire Franco-Québécois, Jun 2015, Sherbrooke, Canada. pp.01-09 |
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Triggering Patterns of Topology Changes in Dynamic GraphsThe 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Aug 2014, Beijing, China, China. pp.55:1--55:17, ⟨10.1109/ASONAM.2014.6921577⟩ |
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Characterization of Database Dependencies with FCA and Pattern StructuresThird International Conference, Analysis of Images, Social Networks and Texts (AIST 2014), 2014, Yekaterinburg, Russia. pp.3 - 14, ⟨10.1007/978-3-319-12580-0_1⟩ |
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Mining Balanced Sequential Patterns in RTS Games 1ECAI 2014 - 21st European Conference on Artificial Intelligence, Aug 2014, Prague, Czech Republic. ⟨10.3233/978-1-61499-419-0-975⟩ |
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Three Related FCA Methods for Mining Biclusters of Similar Values on ColumnsProceedings of the Eleventh International Conference on Concept Lattices and Their Applications, Kosice, Slovakia, October 7-10, 2014, Oct 2014, Kosice, Slovakia |
Fouille de motifs séquentiels pour l'élicitation de stratégies à partir de traces d'interactions entre agents en compétitionExtraction et Gestion de Connaissances EGC 2014, Jan 2014, Rennes, France. pp.359-370 |
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Computing Similarity Dependencies with Pattern StructuresThe Tenth International Conference on Concept Lattices and their Applications - CLA 2013,, Karell Bertet, 2013, La Rochelle, France, France. pp.33-44 |
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Using pattern structures for analyzing ontology-based annotations of biomedical dataSeptièmes Journées d'Intelligence Artificielle Fondamentale, Jun 2013, Aix-en-Provence, France. pp.97--106 |
Mining Statistically Significant Sequential PatternsIEEE International Conference on Data Mining, Dec 2013, Dallas, United States |
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Using Pattern Structures for Analyzing Ontology-Based Annotations of Biomedical DataInternational Conference on Formal Concept Analysis, May 2013, Dresden, Germany |
Computing Functional Dependencies with Pattern StructuresThe 9th International Conference on Concept Lattices and Their Applications - CLA 2012, Oct 2012, Malaga, Spain |
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Watch me playing, I am a professional: a first study on video game live streamingMSND@WWW - International Workshop on Mining Social Network Dynamics - 2012 (in conjunction with WWW - World Wild Web - 2012), May 2012, Lyon, France. pp.1181-1188, ⟨10.1145/2187980.2188259⟩ |
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Mining Biclusters of Similar Values with Triadic Concept AnalysisThe Eighth International Conference on Concept Lattices and their Applications - CLA 2011, INRIA Nancy Grand Est - LORIA, Oct 2011, Nancy, France |
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Numerical information fusion: Lattice of answers with supporting arguments23rd IEEE International Conference on Tools with Artificial Intelligence - ICTAI 2011, Nov 2011, Boca-Raton, United States. pp.621-628 |
Revisiting Numerical Pattern Mining with Formal Concept AnalysisJIAF - Cinquièmes Journées de l'Intelligence Artificielle Fondamentale - 2011, Jun 2011, Lyon, France |
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Extracting Decision Trees from Interval Pattern Concept LatticesThe Eighth International Conference on Concept Lattices and their Applications - CLA 2011, INRIA Nancy Grand Est - LORIA, Oct 2011, Nancy, France |
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Symbolic Data Analysis and Formal Concept AnalysisXVIIIeme Rencontres de la Société Francophone de Classification - SFC 2011, MAPMO - LIFO Orléans, Sep 2011, Orléans, France |
Biclustering Numerical Data in Formal Concept Analysis9th International Conference on Formal Concept Analysis - ICFCA 2011, May 2011, Nicosia, Cyprus. pp.135-150, ⟨10.1007/978-3-642-20514-9⟩ |
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Symbolic Galois Lattices with Pattern StructuresThirteenth International Conference on Rough Sets, Fuzzy Sets and Granular Computing - RSFDGrC-2011, Jun 2011, Moscou, Russia. pp.191-198, ⟨10.1007/978-3-642-21881-1_31⟩ |
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Revisiting Numerical Pattern Mining with Formal Concept AnalysisTwenty second International Joint Conference on Artificial Intelligence - IJCAI 2011, Jul 2011, Barcelona, Spain |
Complémentarité de deux méthodes de classification pour la construction de treillis de concepts à partir de données numériques17ème conférence en Reconnaissance des Formes et Intelligence Artificielle, 2010, Caen, France |
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Organisation de la fusion d'information avec l'analyse formelle de concepts (LFA 2010)Rencontres francophones sur la Logique Floue et ses Applications (LFA 2010), Enssat, Nov 2010, Lannion, France |
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The Coron System8th International Conference on Formal Concept Analsis - ICFCA 2010, Mar 2010, Agadir, Morocco. pp.55--58 |
Embedding tolerance relations in formal concept analysis: an application in information fusionACM Conference on Information and Knowledge Management, Oct 2010, Toronto, Canada. pp.1689-1692 |
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Two Complementary Classification Methods for Designing a Concept Lattice from Interval Data.Foundations of Information and Knowledge Systems, 6th International Symposium, Feb 2010, Sofia, Bulgaria. pp.345-362, ⟨10.1007/978-3-642-11829-6_22⟩ |
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Coron : Plate-forme d'extraction de connaissances dans les bases de données17ème conférence en Reconnaissance des Formes et Intelligence Artificielle - RFIA 2010, Jan 2010, Caen, France. pp.883-884 |
Organisation de la fusion d'information avec l'analyse formelle de concepts (JIAF 2010)Journées Nationales de l'Intelligence Artificielle Fondamentale (JIAF 2010), Jun 2010, Strasbourg, France |
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Classification de données numériques par treillis de concepts basée sur une similarité symbolique/numériqueSociété Francophone de Classification - SFC 2010, 2010, Saint-Denis de la Réunion, France. pp.99-102 |
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Managing Information Fusion with Formal Concept Analysis7th International Conference Modeling Decisions for Artificial Intelligence (MDAI 2010), Oct 2010, Perpignan, France. pp.104-115, ⟨10.1007/978-3-642-16292-3_12⟩ |
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A Possibility Theory-Oriented Discussion of Conceptual Pattern Structures4th International Conference on Scalable Uncertainty Management (SUM 2010), Sep 2010, Toulouse, France. pp.70-83, ⟨10.1007/978-3-642-15951-0_12⟩ |
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Organiser la fusion d'informations par l'Analyse Formelle de Concepts (LFA 2010)Rencontres Francophones sur la Logique Floue et ses Applications (LFA 2010), ENSSAT : École Nationale Supérieure des Sciences Appliquées et de Technologie (Lannion), Nov 2010, Lannion, France. pp.133--140 |
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L'analyse formelle de concepts pour l'extraction de connaissances dans les données d'expression de gènesExtraction et gestion des connaissances, Jan 2009, Strasbourg, France. pp.439-440 |
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Classification de données numériques par treillis de concepts et structures de patronsJournées Nationales de l'Intelligence Artificielle Fondamentale, Oct 2009, Marseille, France |
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L’analyse formelle de concepts pour l’extraction de connaissances dans les données d’expression de gènesExtraction et gestion des connaissances (EGC’2009), Jan 2009, Strasbourg, France. pp.439-440 |
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On the mining of numerical data with Formal Concept Analysis and similaritySociété Francophone de Classification, 2009, Grenoble, France |
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Two FCA-Based Methods for Mining Gene Expression DataFormal Concept Analysis, 7th International Conference, ICFCA 2009, Apr 2009, Darmstadt, Germany. pp.251-266, ⟨10.1007/978-3-642-01815-2_19⟩ |
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Toward the discovery of itemsets with significant variations in gene expression matricesFirst joint meeting of the Société Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society - SFC - CLADAG 2008, Jun 2008, Caserta, Italy |
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Using Formal Concept Analysis for the Extraction of Groups of Co-expressed GenesModelling, Computation and Optimization in Information Systems and Management Sciences, Sep 2008, Metz, France. pp.439-449, ⟨10.1007/978-3-540-87477-5_47⟩ |
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Computing Dependencies Using Formal Concept AnalysisRokia Missaoui; Léonard Kwuida; Talel Abdessalem. Complex Data Analytics with Formal Concept Analysis, Springer, pp.135-150, 2022, 978-3-030-93277-0. ⟨10.1007/978-3-030-93278-7_6⟩ |
Formal Concept Analysis: From Knowledge Discovery to Knowledge ProcessingPierre Marquis; Odile Papini; Henri Prade. A Guided Tour of Artificial Intelligence Research, 2, Springer International Publishing, pp.411-445, 2020, AI Algorithms, 978-3-030-06167-8. ⟨10.1007/978-3-030-06167-8_13⟩ |
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Toward the Discovery of Itemsets with Significant Variations in Gene Expression MatricesFichet, Bernard and Piccolo, Domenico and Verde, Rosanna and Vichi, Maurizio. Classification and Multivariate Analysis for Complex Data Structures, Springer Berlin Heidelberg, pp.463--471, 2011, Studies in Classification, Data Analysis, and Knowledge Organization, 978-3-642-13312-1. ⟨10.1007/978-3-642-13312-1_49⟩ |
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Identifying Avatar Aliases in Starcraft 22015 |
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On Pattern Setups and Pattern Multistructures2019 |
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Anytime Discovery of a Diverse Set of Patterns with Monte Carlo Tree Search2016 |
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Anytime Subgroup Discovery in Numerical Domains with Guarantees - Technical Report[Technical Report] LIRIS UMR 5205 CNRS/INSA de Lyon/Université Claude Bernard Lyon 1/Université Lumière Lyon 2/École Centrale de Lyon. 2019 |
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Embedding Tolerance Relations in Concept Lattices - An application in Information Fusion[Research Report] RR-7353, INRIA. 2010, pp.23 |
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Pattern Mining in Numerical Data: Extracting Closed Patterns and their Generators[Research Report] RR-7416, INRIA. 2010, pp.25 |
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Mining numerical data with formal concept analysis and pattern structuresComputer Science [cs]. Université Henri Poincaré - Nancy 1, 2011. English. ⟨NNT : 2011NAN10015⟩ |
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Contributions to Pattern Discovery and Formal Concept AnalysisArtificial Intelligence [cs.AI]. INSA LYON; Université Claude Bernard Lyon 1, 2020 |