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[1]
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Etienne Lehembre, Bruno Crémilleux, Bertrand Cuissart, Abdelkader Ouali,
and Albrecht Zimmermann.
Wave k-top d-random family search : comment guider un expert dans un
espace structuré.
In Catherine Faron and Sabine Loudcher, editors, Extraction et
Gestion des Connaissances, EGC 2023, Lyon, France, 16 - 20 janvier 2023,
volume E-39 of RNTI, pages 103--114. Editions RNTI, 2023.
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[2]
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Arnold Hien, Samir Loudni, Noureddine Aribi, Abdelkader Ouali, and Albrecht
Zimmermann.
Interactive pattern mining using discriminant sub-patterns as dynamic
features.
In Hisashi Kashima, Tsuyoshi Idé, and Wen-Chih Peng, editors,
Advances in Knowledge Discovery and Data Mining - 27th Pacific-Asia
Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka,
Japan, May 25-28, 2023, Proceedings, Part I, volume 13935 of Lecture
Notes in Computer Science, pages 252--263. Springer, 2023.
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[3]
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Etienne Lehembre, Jean Luc Lamotte, Christophe Couronne, Bruno
Crémilleux, Jean-Luc Manguin, Bertrand Cuissart, Abdelkader Ouali,
and Albrecht Zimmermann.
Identification de concepts remarquables à partir de leur
voisinage dans un treillis.
In Sihem Amer-Yahia and Arnaud Soulet, editors, Extraction et
Gestion des Connaissances, EGC 2022, Blois, France, 24 au 28 janvier 2022,
volume E-38 of RNTI, pages 473--474. Editions RNTI, 2022.
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[4]
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Etienne Lehembre, Ronan Bureau, Bruno Crémilleux, Bertrand Cuissart,
Jean Luc Lamotte, Alban Lepailleur, Abdelkader Ouali, and Albrecht
Zimmermann.
Selecting outstanding patterns based on their neighbourhood.
In Tassadit Bouadi, Élisa Fromont, and Eyke Hüllermeier,
editors, Advances in Intelligent Data Analysis XX - 20th International
Symposium on Intelligent Data Analysis, IDA 2022, Rennes, France, April
20-22, 2022, Proceedings, volume 13205 of Lecture Notes in Computer
Science, pages 185--198. Springer, 2022.
[ DOI |
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[5]
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A. Hien, S. Loudni, N. Aribi, Y. Lebbah, A. Laghzaoui,
A. Ouali, and
A. Zimmermann.
Approche basée sur la relaxation pour la fouille de motifs fermés
et diversifiés.
In Conférence Internationale Francophone sur la Science des
Données, pages 101--112, jun 2021.
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[6]
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Arnold Hien, Samir Loudni, Noureddine Aribi, Yahia Lebbah, Mohammed El Amine
Laghzaoui, Abdelkader Ouali, and Albrecht Zimmermann.
A relaxation-based approach for mining diverse closed patterns.
In Frank Hutter, Kristian Kersting, Jefrey Lijffijt, and Isabel
Valera, editors, Machine Learning and Knowledge Discovery in Databases -
European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18,
2020, Proceedings, Part I, volume 12457 of Lecture Notes in Computer
Science, pages 36--54. Springer, 2020.
[ DOI |
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[7]
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Noureddine Aribi, Abdelkader Ouali, Yahia Lebbah, and Samir Loudni.
Equitable conceptual clustering using OWA operator.
In Dinh Q. Phung, Vincent S. Tseng, Geoffrey I. Webb, Bao Ho,
Mohadeseh Ganji, and Lida Rashidi, editors, Advances in Knowledge
Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018,
Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part III, volume
10939 of Lecture Notes in Computer Science, pages 465--477. Springer,
2018.
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[8]
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Abdelkader Ouali, Albrecht Zimmermann, Samir Loudni, Yahia Lebbah, Bruno
Crémilleux, Patrice Boizumault, and Lakhdar Loukil.
Integer linear programming for pattern set mining; with an
application to tiling.
In Jinho Kim, Kyuseok Shim, Longbing Cao, Jae-Gil Lee, Xuemin Lin,
and Yang-Sae Moon, editors, Advances in Knowledge Discovery and Data
Mining - 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May
23-26, 2017, Proceedings, Part II, volume 10235 of Lecture Notes in
Computer Science, pages 286--299, 2017.
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[9]
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Abdelkader Ouali, David Allouche, Simon de Givry, Samir Loudni, Yahia Lebbah,
and Lakhdar Loukil.
Iterative decomposition guided variable neighborhood search for
graphical model energy minimization.
In Gal Elidan, Kristian Kersting, and Alexander Ihler, editors,
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial
Intelligence, UAI 2017, Sydney, Australia, August 11-15, 2017. AUAI
Press, 2017.
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[10]
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Abdelkader Ouali, Samir Loudni, Yahia Lebbah, Patrice Boizumault, Albrecht
Zimmermann, and Lakhdar Loukil.
Efficiently finding conceptual clustering models with integer linear
programming.
In Subbarao Kambhampati, editor, Proceedings of the Twenty-Fifth
International Joint Conference on Artificial Intelligence, IJCAI 2016, New
York, NY, USA, 9-15 July 2016, pages 647--654. IJCAI/AAAI Press, 2016.
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[11]
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Abdelkader Ouali, Samir Loudni, Lakhdar Loukil, Patrice Boizumault, and Yahia
Lebbah.
Cooperative parallel decomposition guided VNS for solving weighted
CSP.
In Maria J. Blesa, Christian Blum, and Stefan Voß, editors,
Hybrid Metaheuristics - 9th International Workshop, HM 2014, Hamburg,
Germany, June 11-13, 2014. Proceedings, volume 8457 of Lecture Notes in
Computer Science, pages 100--114. Springer, 2014.
[ DOI |
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