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ORCIDMehdi Kaytoue-Uberall
Mehdi Kaytoue
Person information
- affiliation: Institut National des Sciences Appliquées de Lyon (INSA Lyon)
- affiliation: Federal University of Minas Gerais, Belo Horizonte, Brazil
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2020 – today
- 2024
[c66]Anes Bendimerad, Romain Mathonat, Youcef Remil, Mehdi Kaytoue:
Exploiting Formal Concept Analysis for Data Modeling in Data Lakes. CONCEPTS 2024: 270-285- [c65]Youcef Remil
, Anes Bendimerad, Romain Mathonat, Chedy Raïssi, Mehdi Kaytoue:
DeepLSH: Deep Locality-Sensitive Hash Learning for Fast and Efficient Near-Duplicate Crash Report Detection. ICSE 2024: 198:1-198:12 - [i14]Youcef Remil, Anes Bendimerad, Romain Mathonat, Mehdi Kaytoue:
AIOps Solutions for Incident Management: Technical Guidelines and A Comprehensive Literature Review. CoRR abs/2404.01363 (2024) - [i13]Anes Bendimerad, Romain Mathonat, Youcef Remil, Mehdi Kaytoue:
Exploiting Formal Concept Analysis for Data Modeling in Data Lakes. CoRR abs/2408.13265 (2024) - 2023
- [c64]Youcef Remil, Anes Bendimerad, Mathieu Chambard, Romain Mathonat, Marc Plantevit, Mehdi Kaytoue:
Mining Java Memory Errors using Subjective Interesting Subgroups with Hierarchical Targets. ICDM (Workshops) 2023: 1221-1230 - [c63]Jaume Baixeries, Víctor Codocedo, Mehdi Kaytoue, Amedeo Napoli:
Three Views on Dependency Covers from an FCA Perspective. ICFCA 2023: 78-94 - [c62]Jaume Baixeries, Víctor Codocedo, Mehdi Kaytoue, Amedeo Napoli:
Dependency Covers from an FCA Perspective. FCA4AI@IJCAI 2023: 57-68 - [c61]Anes Bendimerad, Youcef Remil, Romain Mathonat, Mehdi Kaytoue:
On-Premise AIOps Infrastructure for a Software Editor SME: An Experience Report. ESEC/SIGSOFT FSE 2023: 1820-1831 - [i12]Anes Bendimerad, Youcef Remil, Romain Mathonat, Mehdi Kaytoue:
On-Premise AIOps Infrastructure for a Software Editor SME: An Experience Report. CoRR abs/2308.11225 (2023) - [i11]Youcef Remil, Anes Bendimerad, Mathieu Chambard, Romain Mathonat, Marc Plantevit, Mehdi Kaytoue:
Mining Java Memory Errors using Subjective Interesting Subgroups with Hierarchical Targets. CoRR abs/2310.00781 (2023) - [i10]Youcef Remil, Anes Bendimerad, Romain Mathonat, Chedy Raïssi, Mehdi Kaytoue:
DeepLSH: Deep Locality-Sensitive Hash Learning for Fast and Efficient Near-Duplicate Crash Report Detection. CoRR abs/2310.06703 (2023) - 2022
- [c60]Youcef Remil, Anes Bendimerad, Marc Plantevit, Céline Robardet, Mehdi Kaytoue:
Découverte de sous-groupes de prédictions interprétables pour le triage d'incidents. EGC 2022: 411-418 - [p3]Jaume Baixeries, Víctor Codocedo, Mehdi Kaytoue, Amedeo Napoli:
Computing Dependencies Using FCA. Complex Data Analytics with Formal Concept Analysis 2022: 135-150 - 2021
- [j11]Romain Mathonat, Diana Nurbakova, Jean-François Boulicaut, Mehdi Kaytoue:
Anytime mining of sequential discriminative patterns in labeled sequences. Knowl. Inf. Syst. 63(2): 439-476 (2021) - [c59]Romain Mathonat, Diana Nurbakova, Jean-François Boulicaut, Mehdi Kaytoue:
Anytime Subgroup Discovery in High Dimensional Numerical Data. DSAA 2021: 1-10 - [c58]Youcef Remil, Anes Bendimerad, Marc Plantevit, Céline Robardet, Mehdi Kaytoue:
Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery. DSAA 2021: 1-10 - [c57]Youcef Remil, Anes Bendimerad, Romain Mathonat, Philippe Chaleat, Mehdi Kaytoue:
"What makes my queries slow?": Subgroup Discovery for SQL Workload Analysis. ASE 2021: 642-652 - [i9]Youcef Remil, Anes Bendimerad, Marc Plantevit, Céline Robardet, Mehdi Kaytoue:
Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery. CoRR abs/2108.03013 (2021) - [i8]Youcef Remil, Anes Bendimerad, Romain Mathonat, Philippe Chaleat, Mehdi Kaytoue:
"What makes my queries slow?": Subgroup Discovery for SQL Workload Analysis. CoRR abs/2108.03906 (2021) - 2020
- [b2]Mehdi Kaytoue:
Contributions to Pattern Discovery and Formal Concept Analysis. INSA de Lyon, France, 2020 - [j10]Aimene Belfodil, Sergei O. Kuznetsov, Mehdi Kaytoue:
On pattern setups and pattern multistructures. Int. J. Gen. Syst. 49(8): 785-818 (2020) - [c56]Romain Mathonat, Jean-François Boulicaut, Mehdi Kaytoue:
A Behavioral Pattern Mining Approach to Model Player Skills in Rocket League. CoG 2020: 267-274 - [c55]Jaume Baixeries, Víctor Codocedo, Mehdi Kaytoue, Amedeo Napoli:
Building a Representation Context Based on Attribute Exploration Algorithms. FCA4AI@ECAI 2020: 141-152 - [p2]Sébastien Ferré, Marianne Huchard, Mehdi Kaytoue, Sergei O. Kuznetsov, Amedeo Napoli:
Formal Concept Analysis: From Knowledge Discovery to Knowledge Processing. A Guided Tour of Artificial Intelligence Research (2) (II) 2020: 411-445
2010 – 2019
- 2019
- [j9]Carmen C. Licon, Guillaume Bosc, Mohammed Sabri, Marylou Mantel, Arnaud P. Fournel, Caroline Bushdid, Jérôme Golebiowski, Céline Robardet, Marc Plantevit, Mehdi Kaytoue, Moustafa Bensafi:
Chemical features mining provides new descriptive structure-odor relationships. PLoS Comput. Biol. 15(4) (2019) - [c54]Romain Mathonat, Diana Nurbakova, Jean-François Boulicaut, Mehdi Kaytoue:
SeqScout: Using a Bandit Model to Discover Interesting Subgroups in Labeled Sequences. DSAA 2019: 81-90 - [c53]Adnene Belfodil, Aimene Belfodil, Anes Bendimerad, Philippe Lamarre, Céline Robardet, Mehdi Kaytoue, Marc Plantevit:
FSSD - A Fast and Efficient Algorithm for Subgroup Set Discovery. DSAA 2019: 91-99 - [c52]Romain Mathonat, Jean-François Boulicaut, Mehdi Kaytoue:
Découverte de sous-groupes à partir de données séquentielles par échantillonnage et optimisation locale. EGC 2019: 153-164 - [c51]Nyoman Juniarta, Víctor Codocedo, Miguel Couceiro, Mehdi Kaytoue, Amedeo Napoli:
Pattern Structures for Identifying Biclusters with Coherent Sign Changes. ICFCA (Supplements) 2019: 1-13 - [c50]Aimene Belfodil, Adnene Belfodil, Mehdi Kaytoue:
Mining Formal Concepts Using Implications Between Items. ICFCA 2019: 173-190 - [c49]Víctor Codocedo, Jaume Baixeries, Mehdi Kaytoue, Amedeo Napoli:
Sampling Representation Contexts with Attribute Exploration. ICFCA 2019: 307-314 - [i7]Aimene Belfodil, Sergei O. Kuznetsov, Mehdi Kaytoue:
On Pattern Setups and Pattern Multistructures. CoRR abs/1906.02963 (2019) - 2018
- [j8]Jaume Baixeries, Víctor Codocedo, Mehdi Kaytoue, Amedeo Napoli:
Characterizing approximate-matching dependencies in formal concept analysis with pattern structures. Discret. Appl. Math. 249: 18-27 (2018) - [j7]Guillaume Bosc, Jean-François Boulicaut, Chedy Raïssi, Mehdi Kaytoue:
Anytime discovery of a diverse set of patterns with Monte Carlo tree search. Data Min. Knowl. Discov. 32(3): 604-650 (2018) - [c48]Aimene Belfodil, Sergei O. Kuznetsov, Mehdi Kaytoue:
Pattern Setups and Their Completions. CLA 2018: 243-253 - [c47]Víctor Codocedo, Jaume Baixeries, Mehdi Kaytoue, Amedeo Napoli:
Characterizing Covers of Functional Dependencies using FCA. CLA 2018: 279-290 - [c46]Aimene Belfodil, Adnene Belfodil, Mehdi Kaytoue:
Anytime Subgroup Discovery in Numerical Domains with Guarantees. ECML/PKDD (2) 2018: 500-516 - 2017
- [j6]Mehdi Kaytoue, Marc Plantevit, Albrecht Zimmermann, Ahmed Anes Bendimerad, Céline Robardet:
Exceptional contextual subgraph mining. Mach. Learn. 106(8): 1171-1211 (2017) - [j5]Guillaume Bosc, Philip Tan, Jean-François Boulicaut, Chedy Raïssi, Mehdi Kaytoue:
A Pattern Mining Approach to Study Strategy Balance in RTS Games. IEEE Trans. Comput. Intell. AI Games 9(2): 123-132 (2017) - [c45]Guillaume Bosc, Jean-François Boulicaut, Chedy Raïssi, Mehdi Kaytoue:
Découverte de sous-groupes avec les arbres de recherche de Monte Carlo. EGC 2017: 273-284 - [c44]Víctor Codocedo, Guillaume Bosc, Mehdi Kaytoue, Jean-François Boulicaut, Amedeo Napoli:
A Proposition for Sequence Mining Using Pattern Structures. ICFCA 2017: 106-121 - [c43]Quentin Labernia, Víctor Codocedo, Céline Robardet, Mehdi Kaytoue:
Mining the Lattice of Binary Classifiers for Identifying Duplicate Labels in Behavioral Data. IEA/AIE (2) 2017: 12-21 - [c42]Aimene Belfodil, Sergei O. Kuznetsov, Céline Robardet, Mehdi Kaytoue:
Mining Convex Polygon Patterns with Formal Concept Analysis. IJCAI 2017: 1425-1432 - [e3]Jan Van Haaren, Mehdi Kaytoue, Jesse Davis:
Proceedings of the Workshop on Machine Learning and Data Mining for Sports Analytics 2016 co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, MLSA@PKDD/ECML 2016, Riva del Garda, Italy, September 19, 2016. CEUR Workshop Proceedings 1842, CEUR-WS.org 2017 [contents] - [e2]Jesse Davis, Mehdi Kaytoue, Albrecht Zimmermann:
Proceedings of the 4th Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2017), Skopje, Macedonia, September 18th, 2017. CEUR Workshop Proceedings 1971, CEUR-WS.org 2017 [contents] - 2016
- [c41]Víctor Codocedo, Jaume Baixeries, Mehdi Kaytoue, Amedeo Napoli:
Characterization of Order-like Dependencies with Formal Concept Analysis. CLA 2016: 123-134 - [c40]Guillaume Bosc, Jérôme Golebiowski, Moustafa Bensafi, Céline Robardet, Marc Plantevit, Jean-François Boulicaut, Mehdi Kaytoue:
Local Subgroup Discovery for Eliciting and Understanding New Structure-Odor Relationships. DS 2016: 19-34 - [c39]Olivier Cavadenti, Víctor Codocedo, Jean-François Boulicaut, Mehdi Kaytoue:
What Did I Do Wrong in My MOBA Game? Mining Patterns Discriminating Deviant Behaviours. DSAA 2016: 662-671 - [c38]Víctor Codocedo, Jaume Baixeries, Mehdi Kaytoue, Amedeo Napoli:
Characterization of Order-like Dependencies with Formal Concept Analysis. FCA4AI@ECAI 2016: 121-128 - [c37]Olivier Cavadenti, Víctor Codocedo, Mehdi Kaytoue, Jean-François Boulicaut:
Découverte de motifs intelligibles et caractéristiques d'anomalies dans les traces unitaires. EGC 2016: 27-38 - [c36]Aimene Belfodil, Mehdi Kaytoue, Céline Robardet, Marc Plantevit, Julien Zarka:
Une méthode de découverte de motifs contextualisés dans les traces de mobilité d'une personne. EGC 2016: 63-68 - [c35]Quentin Labernia, Víctor Codocedo, Mehdi Kaytoue, Céline Robardet:
Découverte de labels dupliqués par l'exploration du treillis des classifieurs binaires. EGC 2016: 255-266 - [c34]Guillaume Bosc, Marc Plantevit, Jean-François Boulicaut, Moustafa Bensafi, Mehdi Kaytoue:
h(odor): Interactive Discovery of Hypotheses on the Structure-Odor Relationship in Neuroscience. ECML/PKDD (3) 2016: 17-21 - [i6]Guillaume Bosc, Chedy Raïssi, Jean-François Boulicaut, Mehdi Kaytoue:
Any-time Diverse Subgroup Discovery with Monte Carlo Tree Search. CoRR abs/1609.08827 (2016) - 2015
- [j4]Mehdi Kaytoue, Yoann Pitarch, Marc Plantevit, Céline Robardet:
What effects topological changes in dynamic graphs? - Elucidating relationships between vertex attributes and the graph structure. Soc. Netw. Anal. Min. 5(1): 55:1-55:17 (2015) - [c33]Olivier Cavadenti, Víctor Codocedo, Jean-François Boulicaut, Mehdi Kaytoue:
When cyberathletes conceal their game: Clustering confusion matrices to identify avatar aliases. DSAA 2015: 1-10 - [c32]Guillaume Bosc, Mehdi Kaytoue, Marc Plantevit, Fabien De Marchi, Moustafa Bensafi, Jean-François Boulicaut:
Vers la découverte de modèles exceptionnels locaux : des règles descriptives liant les molécules à leurs odeurs. EGC 2015: 305-316 - [c31]Albrecht Zimmermann, Mehdi Kaytoue, Marc Plantevit, Céline Robardet, Jean-François Boulicaut:
Profiling Users of the Velo'v Bike Sharing System. MUD@ICML 2015: 63-64 - [c30]Olivier Cavadenti, Víctor Codocedo, Mehdi Kaytoue, Jean-François Boulicaut:
Identifying Avatar Aliases in StarCraft 2. MLSA@PKDD/ECML 2015: 28-35 - [c29]Mehdi Kaytoue, Víctor Codocedo, Aleksey Buzmakov, Jaume Baixeries, Sergei O. Kuznetsov, Amedeo Napoli:
Pattern Structures and Concept Lattices for Data Mining and Knowledge Processing. ECML/PKDD (3) 2015: 227-231 - [c28]Pierre Houdyer, Albrecht Zimmermann, Mehdi Kaytoue, Marc Plantevit, Joseph Mitchell, Céline Robardet:
Gazouille: Detecting and Illustrating Local Events from Geolocalized Social Media Streams. ECML/PKDD (3) 2015: 276-280 - [i5]Olivier Cavadenti, Víctor Codocedo, Jean-François Boulicaut, Mehdi Kaytoue:
Identifying Avatar Aliases in Starcraft 2. CoRR abs/1508.00801 (2015) - 2014
- [j3]Mehdi Kaytoue, Sergei O. Kuznetsov, Juraj Macko, Amedeo Napoli:
Biclustering meets triadic concept analysis. Ann. Math. Artif. Intell. 70(1-2): 55-79 (2014) - [j2]Jaume Baixeries, Mehdi Kaytoue, Amedeo Napoli:
Characterizing functional dependencies in formal concept analysis with pattern structures. Ann. Math. Artif. Intell. 72(1-2): 129-149 (2014) - [c27]Jaume Baixeries, Mehdi Kaytoue, Amedeo Napoli:
Characterization of Database Dependencies with FCA and Pattern Structures. AIST 2014: 3-14 - [c26]Mehdi Kaytoue, Yoann Pitarch, Marc Plantevit, Céline Robardet:
Triggering patterns of topology changes in dynamic graphs. ASONAM 2014: 158-165 - [c25]Mehdi Kaytoue, Víctor Codocedo, Jaume Baixeries, Amedeo Napoli:
Three Interrelated FCA Methods for Mining Biclusters of Similar Values on Columns. CLA 2014: 243-254 - [c24]Guillaume Bosc, Mehdi Kaytoue-Uberall, Chedy Raïssi, Jean-François Boulicaut, Philip Tan:
Mining Balanced Sequential Patterns in RTS Games. ECAI 2014: 975-976 - [c23]Guillaume Bosc, Mehdi Kaytoue-Uberall, Chedy Raïssi, Jean-François Boulicaut:
Fouille de motifs séquentiels pour l'élicitation de stratégies à partir de traces d'interactions entre agents en compétition. EGC 2014: 359-370 - [c22]Gustavo Nascimento, Manoel Horta Ribeiro, Loïc Cerf, Natalia Cesario, Mehdi Kaytoue, Chedy Raïssi, Thiago Vasconcelos, Wagner Meira Jr.:
Modeling and Analyzing the Video Game Live-Streaming Community. LA-WEB 2014: 1-9 - [e1]Cynthia Vera Glodeanu, Mehdi Kaytoue, Christian Sacarea:
Formal Concept Analysis - 12th International Conference, ICFCA 2014, Cluj-Napoca, Romania, June 10-13, 2014. Proceedings. Lecture Notes in Computer Science 8478, Springer 2014, ISBN 978-3-319-07247-0 [contents] - 2013
- [c21]Jaume Baixeries, Mehdi Kaytoue, Amedeo Napoli:
Computing Similarity Dependencies with Pattern Structures. CLA 2013: 33-44 - [c20]Cécile Low-Kam, Chedy Raïssi, Mehdi Kaytoue, Jian Pei:
Mining Statistically Significant Sequential Patterns. ICDM 2013: 488-497 - [c19]Adrien Coulet, Florent Domenach, Mehdi Kaytoue, Amedeo Napoli:
Using Pattern Structures for Analyzing Ontology-Based Annotations of Biomedical Data. ICFCA 2013: 76-91 - [c18]Guillaume Bosc, Mehdi Kaytoue, Chedy Raïssi, Jean-François Boulicaut:
Strategic Patterns Discovery in RTS-games for E-Sport with Sequential Pattern Mining. MLSA@PKDD/ECML 2013: 11-20 - 2012
- [c17]Jaume Baixeries, Mehdi Kaytoue, Amedeo Napoli:
Computing Functional Dependencies with Pattern Structures. CLA 2012: 175-186 - [c16]Mehdi Kaytoue, Sergei O. Kuznetsov, Amedeo Napoli, Juraj Macko, Wagner Meira Jr.:
Caractérisation et extraction de biclusters de valeurs similaires avec l'analyse de concepts triadiques. EGC 2012: 65-76 - [c15]Mehdi Kaytoue, Amedeo Napoli, Laszlo Szathmary:
Une brève présentation du système de fouille de données Coron. EGC 2012: 603-606 - [c14]Mehdi Kaytoue, Arlei Silva, Loïc Cerf, Wagner Meira Jr., Chedy Raïssi:
Watch me playing, i am a professional: a first study on video game live streaming. WWW (Companion Volume) 2012: 1181-1188 - 2011
- [b1]Mehdi Kaytoue:
Mining numerical data with formal concept analysis and pattern structures. (Traitement de données numériques par analyse formelle de concepts et structures de patrons). Henri Poincaré University, Nancy, France, 2011 - [j1]Mehdi Kaytoue, Sergei O. Kuznetsov, Amedeo Napoli, Sébastien Duplessis:
Mining gene expression data with pattern structures in formal concept analysis. Inf. Sci. 181(10): 1989-2001 (2011) - [c13]Mehdi Kaytoue, Sergei O. Kuznetsov, Juraj Macko, Wagner Meira Jr., Amedeo Napoli:
Mining Biclusters of Similar Values with Triadic Concept Analysis. CLA 2011: 175-190 - [c12]Zainab Assaghir, Mehdi Kaytoue, Wagner Meira Jr., Jean Villerd:
Extracting Decision Trees from Interval Pattern Concept Lattices. CLA 2011: 319-332 - [c11]Mehdi Kaytoue, Sergei O. Kuznetsov, Amedeo Napoli:
Biclustering Numerical Data in Formal Concept Analysis. ICFCA 2011: 135-150 - [c10]Zainab Assaghir, Amedeo Napoli, Mehdi Kaytoue, Didier Dubois, Henri Prade:
Numerical Information Fusion: Lattice of Answers with Supporting Arguments. ICTAI 2011: 621-628 - [c9]Mehdi Kaytoue, Sergei O. Kuznetsov, Amedeo Napoli:
Revisiting Numerical Pattern Mining with Formal Concept Analysis. IJCAI 2011: 1342-1347 - [c8]P. Agarwal, Mehdi Kaytoue, Sergei O. Kuznetsov, Amedeo Napoli, Géraldine Polaillon:
Symbolic Galois Lattices with Pattern Structures. RSFDGrC 2011: 191-198 - [p1]Zainab Assaghir, Mehdi Kaytoue-Uberall, Amedeo Napoli, Henri Prade:
Organiser la fusion d'informations par l'analyse formelle de concepts. Fouille de données complexes 2011: 267-287 - [i4]Mehdi Kaytoue, Sergei O. Kuznetsov, Juraj Macko, Wagner Meira Jr., Amedeo Napoli:
Mining Biclusters of Similar Values with Triadic Concept Analysis. CoRR abs/1111.3270 (2011) - [i3]Baptiste Ducatel, Mehdi Kaytoue, Florent Marcuola, Amedeo Napoli, Laszlo Szathmary:
Coron : Plate-forme d'extraction de connaissances dans les bases de données. CoRR abs/1111.5687 (2011) - [i2]Mehdi Kaytoue, Sergei O. Kuznetsov, Amedeo Napoli:
Revisiting Numerical Pattern Mining with Formal Concept Analysis. CoRR abs/1111.5689 (2011) - [i1]Mehdi Kaytoue, Florent Marcuola, Amedeo Napoli, Laszlo Szathmary, Jean Villerd:
The Coron System. CoRR abs/1111.5690 (2011) - 2010
- [c7]Mehdi Kaytoue, Zainab Assaghir, Amedeo Napoli, Sergei O. Kuznetsov:
Embedding tolerance relations in formal concept analysis: an application in information fusion. CIKM 2010: 1689-1692 - [c6]Mehdi Kaytoue-Uberall, Zainab Assaghir, Nizar Messai, Amedeo Napoli:
Two Complementary Classification Methods for Designing a Concept Lattice from Interval Data. FoIKS 2010: 345-362 - [c5]Zainab Assaghir, Mehdi Kaytoue, Amedeo Napoli, Henri Prade:
Managing Information Fusion with Formal Concept Analysis. MDAI 2010: 104-115 - [c4]Zainab Assaghir, Mehdi Kaytoue, Henri Prade:
A Possibility Theory-Oriented Discussion of Conceptual Pattern Structures. SUM 2010: 70-83
2000 – 2009
- 2009
- [c3]Mehdi Kaytoue-Uberall, Sébastien Duplessis, Amedeo Napoli:
L'analyse formelle de concepts pour l'extraction de connaissances dans les données d'expression de gènes. EGC 2009: 439-440 - [c2]Mehdi Kaytoue-Uberall, Sébastien Duplessis, Sergei O. Kuznetsov, Amedeo Napoli:
Two FCA-Based Methods for Mining Gene Expression Data. ICFCA 2009: 251-266 - 2008
- [c1]Mehdi Kaytoue-Uberall, Sébastien Duplessis, Amedeo Napoli:
Using Formal Concept Analysis for the Extraction of Groups of Co-expressed Genes. MCO 2008: 439-449
Coauthor Index
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