| Description |
1 online resource (216 pages). |
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text file |
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74.95 |
| Series |
Chapman & Hall/CRC data mining and knowledge discovery series |
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Chapman & Hall/CRC data mining and knowledge discovery series.
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| Summary |
A culmination of the authors' years of extensive research on this topic, Relational Data Clustering: Models, Algorithms, and Applications addresses the fundamentals and applications of relational data clustering. It describes theoretic models and algorithms and, through examples, shows how to apply these models and algorithms to solve real-world problems. After defining the field, the book introduces different types of model formulations for relational data clustering, presents various algorithms for the corresponding models, and demonstrates applications of the models and algorithms through extensive experimental results. The authors cover six topics of relational data clustering: Clustering on bi-type heterogeneous relational data Multi-type heterogeneous relational data Homogeneous relational data clustering Clustering on the most general case of relational data Individual relational clustering framework Recent research on evolutionary clustering This book focuses on both practical algorithm derivation and theoretical framework construction for relational data clustering. It provides a complete, self-contained introduction to advances in the field. |
| Subject |
Data mining.
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Relational databases.
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Cluster analysis.
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Exploration de données (Informatique) |
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Bases de données relationnelles. |
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Classification automatique (Statistique) |
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Cluster analysis |
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Data mining |
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Relational databases |
| Added Author |
Zhang, Zhongfei, author.
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Yu, Philip S.
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Zhang, Zhongfei.
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Long, Bo.
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Yu, Philip, author.
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O'Reilly for Higher Education (Firm), distributor.
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Safari, an O'Reilly Media Company.
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| Other Form: |
Print version: Relational data clustering. Boca Raton : Chapman & Hall/CRC, ©2010 9781420072617 (DLC) 2010009487 (OCoLC)176924810 |
| ISBN |
9781420072624 |
|
1420072625 |
| Standard No. |
KE81309 |
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9781420072624 |
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