Developing Multi-Database Mining Applications

Multi-database mining is recognized as an important and strategic area of research in data mining. The authors discuss the essential issues relating to the systematic and efficient development of multi-database mining applications, and present approaches to the development of data warehouses at diff...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Adhikari, Animesh (Autor), Ramachandrarao, Pralhad (Autor), Pedrycz, Witold (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Colección:Advanced Information and Knowledge Processing,
Temas:
Data mining.
Information storage and retrieval systems.
Computer science.
Application software.
Data Mining and Knowledge Discovery.
Information Storage and Retrieval.
Computer Science.
Computer and Information Systems Applications.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • An Extended Model of Local Pattern Analysis
  • Mining Multiple Large Databases
  • Mining Patterns of Select Items in Multiple Databases
  • Enhancing Quality of Knowledge Synthesized from Multi-database Mining
  • Efficient Clustering of Databases Induced by Local Patterns
  • A Framework for Developing Effective Multi-database Mining Applications.

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