Relational data clustering : models, algorithms, and applications /

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This is the first book available that presents a comprehensive overview of relational data clustering in data mining research. The book reflects the recent emergence of relational data clustering as an important field of data clustering, with applications in text mining, social network analysis, col...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Long, Bo, Zhang, Zhongfei, Yu, Philip S.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton : CRC Press, ©2010.
Colección:Chapman & Hall/CRC data mining and knowledge discovery series.
Temas:
Data mining.
Cluster analysis.
Relational databases.
Data Mining
Cluster Analysis
Exploration de données (Informatique)
Classification automatique (Statistique)
Bases de données relationnelles.
COMPUTERS > Programming Languages > SQL.
Cluster analysis
Data mining
Relational databases
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Front cover; Contents; List of Tables; List of Figures; Preface; Chapter 1: Introduction; Part I: Models; Chapter 2: Co-Clustering; Chapter 3: Heterogeneous Relational Data Clustering; Chapter 4: Homogeneous Relational Data Clustering; Chapter 5: General Relational Data Clustering; Chapter 6: Multiple-View Relational Data Clustering; Chapter 7: Evolutionary Data Clustering; Part II: Algorithms; Chapter 8: Co-Clustering; Chapter 9: Heterogeneous Relational Data Clustering; Chapter 10: Homogeneous Relational Data Clustering; Chapter 11: General Relational Data Clustering.

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