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hal-01330216v1
Communication dans un congrès
Atheer Al-Najdi, Nicolas Pasquier, Frédéric Precioso. Multiple Consensuses Clustering by Iterative Merging/Splitting of Clustering Patterns Machine Learning and Data Mining in Pattern Recognition, Jul 2016, New York, United States. Springer International Publishing, Proceedings of the MLDM'2016 International Conference, Lecture Notes in Artificial Intelligence 9729, pp.790-804, <http://www.mldm.de/>. <10.1007/978-3-319-41920-6> |
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hal-01330079v1
Communication dans un congrès
Atheer Al-Najdi, Nicolas Pasquier, Frédéric Precioso. Using Frequent Closed Pattern Mining to Solve a Consensus Clustering Problem KSI Research Inc. International Conference on Software Engineering & Knowledge Engineering, Jul 2016, Redwood City, United States. pp.454-461, Proceedings of the SEKE'2016 International Conference. SEKE'2016 Third Place Award. <http://ksiresearchorg.ipage.com/seke/seke16.html>. <10.18293/SEKE2016-117> |
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hal-01329545v1
Communication dans un congrès
Atheer Al-Najdi, Nicolas Pasquier, Frédéric Precioso. Frequent Closed Patterns Based Multiple Consensus Clustering International Conference on Artificial Intelligence and Soft Computing, Jun 2016, Zakopane, Poland. Springer International Publishing, Proceedings of the ICAISC'2016 International Conference, Part II, Lecture Notes in Computer Science 9693, pp.14-26, 2016, <http://www.icaisc.eu/>. <10.1007/978-3-319-39384-1_2> |
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hal-01245704v1
Rapport
Atheer Al-Najdi, Nicolas Pasquier, Frédéric Precioso. MultiCons: Multiple Consensus Clustering Method Using Frequent Closed Pattern Mining [Research Report] Laboratoire d'Informatique, Signaux et Systèmes de Sophia-Antipolis I3S - UMR7271 - UNS CNRS. 2015 |
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