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Advances in Knowledge Discovery and Management : Volume 8 / / edited by Bruno Pinaud, Fabrice Guillet, Fabien Gandon, Christine Largeron



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Titolo: Advances in Knowledge Discovery and Management : Volume 8 / / edited by Bruno Pinaud, Fabrice Guillet, Fabien Gandon, Christine Largeron Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Edizione: 1st ed. 2019.
Descrizione fisica: 1 online resource (XVIII, 183 p. 75 illus., 33 illus. in color.)
Disciplina: 006.3
006.312
Soggetto topico: Computational intelligence
Artificial intelligence
Computational Intelligence
Artificial Intelligence
Persona (resp. second.): PinaudBruno
GuilletFabrice
GandonFabien
LargeronChristine
Nota di contenuto: Part I: Clustering -- Chapter 1. Model based co-clustering of mixed numerical and binary data -- Chapter 2. Co-clustering based exploratory analysis of mixed-type data tables -- Part II: Textual Data -- Chapter 3. Automatically selecting complementary vector representations for semantic textual similarity, etc.
Sommario/riassunto: This book highlights novel research in Knowledge Discovery and Management (KDM), gathering the extended, peer-reviewed versions of outstanding papers presented at the annual conferences EGC’2017 & EGC’2018. The EGC conference cycle was founded by the International French-speaking EGC society (“Extraction et Gestion des Connaissances”) in 2003, and has since become a respected fixture among the French-speaking community. In addition to the annual conference, the society organizes various other events in order to promote exchanges between researchers and companies concerned with KDM and its applications to business, administration, industry and public organizations. Addressing novel research in data science, semantic Web, clustering, and classification, the content presented here will chiefly benefit researchers interested in these fields, including Ph.D./M.Sc. students, at public and private laboratories alike.
Titolo autorizzato: Advances in Knowledge Discovery and Management  Visualizza cluster
ISBN: 3-030-18129-4
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910483681703321
Lo trovi qui: Univ. Federico II
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Serie: Studies in Computational Intelligence, . 1860-949X ; ; 834