Dominique Li's Publications


Big Data

  1. K.-C. Duong, M. Bamha, A. Giacometti, D. Li, A. Soulet, and C. Vrain. MapFIM+: Memory Aware Parallelized Frequent Itemset Mining In Very Large Datasets. In Transactions on Large-Scale Data- and Knowledge-Centered Systems, 39:200-225, 2018.

  2. K.-C. Duong, M. Bamha, A. Giacometti, D. Li, A. Soulet, and C. Vrain. MapFIM: Memory Aware Parallelized Frequent Itemset Mining in Very Large Datasets. In Proceedings of the 28th International Conference on Database and Expert Systems Applications (DEXA 2017), pages 478-495, Lyon, France, August 2017.

Database

  1. J. Aligon, D. Li, P. Marcel, and A. Soulet. Towards a logical framework for OLAP query log manipulation. In Proceedings of the 6th International Workshop on Personalized Access, Profile Management, and Context Awareness in Databases (PersDB 2012), Istanbul, Turkey, August 2012.

Pattern mining

  1. L. Diop, C. T. Diop, A. Giacometti, D. Li, and A. Soulet. Sequential Pattern Sampling with Norm Constraints. In 2018 IEEE International Conference on Data Mining (ICDM 2018), pages 89--98, Singapore, November 2018.

  2. K.-C. Duong, M. Bamha, A. Giacometti, D. Li, A. Soulet, and C. Vrain. MapFIM+: Memory Aware Parallelized Frequent Itemset Mining In Very Large Datasets. In Transactions on Large-Scale Data- and Knowledge-Centered Systems, 39:200-225, 2018.

  3. L. Diop, C. T. Diop, A. Giacometti, D. Li, and A. Soulet. Echantillonnage de motifs séquentiels sous contrainte sur la norme. In Actes des 18ièmes Journées Francophones Extraction et Gestion des Connaissances (EGC 2018), pages 35-46, Paris, France, January 2018.

  4. K.-C. Duong, M. Bamha, A. Giacometti, D. Li, A. Soulet, and C. Vrain. MapFIM: Memory Aware Parallelized Frequent Itemset Mining in Very Large Datasets. In Proceedings of the 28th International Conference on Database and Expert Systems Applications (DEXA 2017), pages 478-495, Lyon, France, August 2017.

  5. S. de Amo, M. Saliou Diallo, C. Talibouya Diop, A. Giacometti, D. Li, and A. Soulet. Contextual preference mining for user profile construction. In Information Systems, 49:182-199, 2015.

  6. A. Giacometti, D. Li, and A. Soulet. Balancing the Analysis of Frequent Patterns. In Proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2014), 53-64, Tainan, Taiwan, May 2014.

  7. A. Giacometti, D. Li, and A. Soulet. Construction de profils de préférences contextuelles basée sur l'extraction de motifs séquentiels. In Actes des 14ièmes Journées Francophones Extraction et Gestion des Connaissances (EGC 2014), 419-430, Rennes, France, January 2014.

  8. A. Giacometti, D. Li, P. Marcel, and A. Soulet. 20 years of pattern mining: a bibliometric survey. SIGKDD Explorations, 15(1):41-50, 2013.

  9. A. Giacometti, D. Li, and A. Soulet. 20 ans de découverte de motifs : une étude bibliographique quantitative. In Actes des 13ièmes Journées Francophones Extraction et Gestion des Connaissances (EGC 2013), 133-144, Toulouse, France, January 2013.

  10. D. H. Li, A. Laurent, and P. Poncelet. WebUser: Mining unexpected Web usage. International Journal of Business Intelligence and Data Mining (IJBIDM), 6(1):90-111, 2011.

  11. D. H. Li, A. Laurent, and P. Poncelet. Discovery of Unexpected Recurrence Behaviors in Sequence Databases. International Journal of Computer Information Systems and Industrial Management Applications (IJCISIM), 2:279–288, 2010.

  12. D. H. Li, A. Laurent, P. Poncelet, and M. Roche. Extraction of unexpected sentences: A sentiment classification assessed approach. Intelligent Data Analysis Journal (IDA), 14(1):31–46, 2010.

  13. D. H. Li, A. Laurent, and P. Poncelet. Discovering fuzzy unexpected sequences with concept hierarchies. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (IJUFKS), 17(Supplement-1):113–134, 2009.

  14. D. H. Li, A. Laurent, and P. Poncelet. Extraction de comportements inattendus dans le cadre du Web Usage Mining. La Revue des Nouvelles Technologies de l'Information, deuxième numéro spécial sur la : Fouille de données complexes (RNTI), E18:113–132, 2009.

  15. D. H. Li, A. Laurent, and P. Poncelet. Mining Unexpected Sequential Patterns and Implication Rules. In Yun Sing Koh and Nathan Rountree, editors, Rare Association Rule Mining and Knowledge Discovery: Technologies for Infrequent and Critical Event Detection, Advances in Data Warehousing and Mining Book Series. IGI Publishing, 2009.

  16. D. H. Li, A. Laurent, and P. Poncelet. Recognizing Unexpected Recurrence Behaviors with Fuzzy Methods in Sequence Databases. In Proceedings of the 5th International Conference on Soft Computing as Transdisciplinary Science and Technology (CSTST 2008), pages 37–43, Cergy Pontoise, France, October 2008.

  17. D. H. Li, A. Laurent, and P. Poncelet. Mining unexpected Web usage behaviors. In Proceedings of the 8th Industrial Conference on Data Mining (Industrial ICDM 2008), pages 283–297, Leipzig, Germany, July 2008. Best Paper Award.

  18. D. H. Li, A. Laurent, and P. Poncelet. Discovering fuzzy unexpected sequences with beliefs. In Proceedings of the 12th International Conference of Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2008), pages 1709–1716, Málaga, Spain, June 2008.

  19. D. H. Li, A. Laurent, and P. Poncelet. Découverte de motifs séquentiels et de règles inattendus. In Actes des 8ièmes Journées Francophones Extraction et Gestion des Connaissances (EGC 2008), pages 535–540, Sophia Antipolis, France, January 2008.

  20. D. H. Li, A. Laurent, and P. Poncelet. Mining unexpected sequential patterns and rules. Technical Report RR-07027 (2007), Laboratoire d’Informatique de Robotique et de Microélectronique de Montpellier, 2007. Revised 2008.

  21. D. H. Li, A. Laurent, and M. Teisseire. On transversal hypergraph enumeration in mining sequential patterns. In Proceedings of the 11th International Database Engineering and Applications Symposium (IDEAS 2007), pages 303–307, Banff, Canada, September 2007.

  22. D. H. Li, A. Laurent, and P. Poncelet. Towards unexpected sequential patterns. In Atelier Bases de Données Inductives, Plateforme Afia, Grenoble, France, July 2007.

Preference mining

  1. S. de Amo, M. Saliou Diallo, C. Talibouya Diop, A. Giacometti, D. Li, and A. Soulet. Contextual preference mining for user profile construction. In Information Systems, 49:182-199, 2015.

  2. A. Giacometti, D. Li, and A. Soulet. Construction de profils de préférences contextuelles basée sur l'extraction de motifs séquentiels. In Actes des 14ièmes Journées Francophones Extraction et Gestion des Connaissances (EGC 2014), 419-430, Rennes, France, January 2014.

  3. S. de Amo, M. S. Diallo, C. T. Diop, A. Giacometti, D. Li, and A. Soulet. Mining Contextual Preference Rules for Building User Profiles. In Proceedings of the 14th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2012), 229-242, Vienna, Austria, September 2012.

Text mining, opinion mining, and sentiment analysis

  1. D. H. Li, A. Laurent, P. Poncelet, and M. Roche. Extraction of unexpected sentences: A sentiment classification assessed approach. Intelligent Data Analysis Journal (IDA), 14(1):31–46, 2010.

  2. D. H. Li, A. Laurent, M. Roche, and P. Poncelet. Recherche de sentiments opposés par une approche floue à partir de textes libres. In Actes des Rencontres Francophones sur la Logique Floue et ses Applications (LFA 2008), pages 26–33, Lens, France, October 2008.

  3. D. H. Li, A. Laurent, M. Roche, and P. Poncelet. Extraction of opposite sentiments in classified free format text reviews. In Proceedings of the 19th International Conference on Database and Expert Systems Applications (DEXA 2008), pages 710–717, Turin, Italy, September 2008.

Vision and image processing

  1. D. Conte, D. Li, Y. Huang, and H. Niu. Une application de classification vidéo en mécanique des fluides diphasiques oscillatoires. In Actes des 20ièmes Journées Francophones Extraction et Gestion des Connaissances (EGC 2020), Bruxelles, Belgique, January 2020.

Web usage mining for content recommendation and personalization

  1. D. H. Li, A. Laurent, and P. Poncelet. WebUser: Mining unexpected Web usage. International Journal of Business Intelligence and Data Mining (IJBIDM), 6(1):90-111, 2011.

  2. D. H. Li, A. Laurent, and P. Poncelet. Extraction de comportements inattendus dans le cadre du Web Usage Mining. La Revue des Nouvelles Technologies de l'Information, deuxième numéro spécial sur la : Fouille de données complexes (RNTI), E18:113–132, 2009.

  3. D. H. Li, A. Laurent, and P. Poncelet. Mining unexpected Web usage behaviors. In Proceedings of the 8th Industrial Conference on Data Mining (Industrial ICDM 2008), pages 283–297, Leipzig, Germany, July 2008. Best Paper Award.

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