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Advances in Knowledge Discovery and Management: Volume 8 de Bruno Pinaud

Advances in Knowledge Discovery and Management: Volume 8: Studies in Computational Intelligence, cartea 834

Editat de Bruno Pinaud, Fabrice Guillet, Fabien Gandon, Christine Largeron
en Limba Engleză Paperback – 14 aug 2020
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.
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Specificații

ISBN-13: 9783030181314
ISBN-10: 3030181316
Pagini: 183
Ilustrații: XVIII, 183 p. 75 illus., 33 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.29 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Cham, Switzerland

Cuprins

​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.

Textul de pe ultima copertă

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.

Caracteristici

Presents representative and novel research in the fields of data science, semantic Web, clustering, and classification Provides recent research in Knowledge Discovery and Management Offers a carefully edited post-proceedings book