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Shallow Text Clustering Does Not Mean Weak Topics: How Topic Identification Can Leverage Bigram Features.

, , и . DMNLP@PKDD/ECML, том 1646 из CEUR Workshop Proceedings, стр. 25-32. CEUR-WS.org, (2016)

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Stephan Poncelet

Stephan Poncelet

Claudia Poncelet

Stephan Poncelet

Stephan Poncelet

 

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Need For Speed : Mining Sequential Patterns in Data Streams., , и . BDA, (2005)Recherche de passages pertinents dans les fichiers logs par enrichissement de requêtes., , , , и . CORIA, стр. 239-254. Centre de Publication Universitaire, (2010)Une structure basée sur les hiérarchies pour synthétiser les itemsets fréquents extraits dans des fenêtres temporelles., , и . EGC, том RNTI-E-19 из Revue des Nouvelles Technologies de l'Information, стр. 711-712. Cépaduès-Éditions, (2010)Node Overlap Removal Algorithms: an Extended Comparative Study., , , и . J. Graph Algorithms Appl., 24 (4): 683-706 (2020)Mining Conjunctive Sequential Patterns., , и . ECML/PKDD (1), том 5211 из Lecture Notes in Computer Science, стр. 19. Springer, (2008)Shallow Text Clustering Does Not Mean Weak Topics: How Topic Identification Can Leverage Bigram Features., , и . DMNLP@PKDD/ECML, том 1646 из CEUR Workshop Proceedings, стр. 25-32. CEUR-WS.org, (2016)Fuzzy gradual patterns: What fuzzy modality for what result?, , , и . SoCPaR, стр. 224-230. IEEE, (2010)ICDiscovery : Aide à l'annotation par une méthode de budget pour le codage CIM-9 des textes hospitaliers., , , , , и . EGC, том E-39 из RNTI, стр. 605-612. Editions RNTI, (2023)Modélisation de parcours patients : graphes temporels pour la supervision médicale., , , , , и . EGC, том E-39 из RNTI, стр. 321-328. Editions RNTI, (2023)Dictionary-based Sentiment Analysis Applied to Specific Domain using a Web Mining Approach., , , и . SIMBig, том 1743 из CEUR Workshop Proceedings, стр. 80-88. CEUR-WS.org, (2016)