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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...
| Corporate Author: | |
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| Other Authors: | , , , |
| Format: | e-Book |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
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| Edition: | 1st ed. 2019. |
| Series: | Studies in Computational Intelligence,
834 |
| Subjects: | |
| Online Access: | Full-text access View in OPAC |
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.