Advances in knowledge discovery and management. Volume 8 / Bruno Pinaud, Fabrice Guillet, Fabien Gandon, Christine Largeron, editors.
2019
QA76.9.D343 A335 2019
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Details
Title
Advances in knowledge discovery and management. Volume 8 / Bruno Pinaud, Fabrice Guillet, Fabien Gandon, Christine Largeron, editors.
ISBN
9783030181291 (electronic book)
3030181294 (electronic book)
9783030181284
3030181286
3030181294 (electronic book)
9783030181284
3030181286
Published
Cham, Switzerland : Springer, [2019]
Language
English
Description
1 online resource (xviii, 183 pages) : illustrations.
Item Number
10.1007/978-3-030-18
Call Number
QA76.9.D343 A335 2019
Dewey Decimal Classification
006.312
Summary
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 EGC2017 & EGC2018. 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.
Note
Includes author index.
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Access limited to authorized users.
Digital File Characteristics
text file PDF
Source of Description
Description based on online resource; title from digital title page (viewed on August 01, 2019).
Added Author
Pinaud, Bruno, editor.
Guillet, Fabrice, editor.
Gandon, Fabien, editor.
Largeron, Christine, editor.
Guillet, Fabrice, editor.
Gandon, Fabien, editor.
Largeron, Christine, editor.
Series
Studies in computational intelligence ; v. 834.
Available in Other Form
Print version: 9783030181284
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Table of Contents
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.
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.