Advances in Knowledge Discovery and Management

Volume 8

Bruno Pinaud, Fabrice Guillet, Fabien Gandon, Christine Largeron (Herausgeber)

Buch | Hardcover

XVIII, 183 Seiten

2019
Springer International Publishing (Verlag)
978-3-030-18128-4 (ISBN)

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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.

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.

Erscheinungsdatum	03.07.2019
Reihe/Serie	Studies in Computational Intelligence
Zusatzinfo	XVIII, 183 p. 75 illus., 33 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	463 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Themenwelt	Technik
Schlagworte	clustering and classification • Computational Intelligence • Data Science • knowledge management • semantic web
ISBN-10	3-030-18128-6 / 3030181286
ISBN-13	978-3-030-18128-4 / 9783030181284
Zustand	Neuware