Advances in Knowledge Discovery and Management
Volume 8
Published on 20. June 2019
XVIII, 183 pages
978-3-030-18129-1 (ISBN)
Description
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.More details
Series
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XVIII, 183 p. 75 illus., 33 illus. in color.
File size
5,29 MB
ISBN-13
978-3-030-18129-1 (9783030181291)
DOI
10.1007/978-3-030-18129-1
Schweitzer Classification
Other editions
Additional editions
Bruno Pinaud | Fabrice Guillet | Fabien Gandon
Advances in Knowledge Discovery and Management
Volume 8
Book
07/2019
Springer
€106.99
Shipment within 7-9 days
Content
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.
