Advances in Knowledge Discovery and Management Volume 8 /

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 s...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Pinaud, Bruno (Editor, http://id.loc.gov/vocabulary/relators/edt), Guillet, Fabrice (Editor, http://id.loc.gov/vocabulary/relators/edt), Gandon, Fabien (Editor, http://id.loc.gov/vocabulary/relators/edt), Largeron, Christine (Editor, http://id.loc.gov/vocabulary/relators/edt)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:Studies in Computational Intelligence, 834
Subjects:
Online Access:Full Text via HEAL-Link
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.