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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Détails bibliographiques
Cote:Libro Electrónico
Auteurs principaux: Adhikari, Animesh (Auteur), Ramachandrarao, Pralhad (Auteur), Pedrycz, Witold (Auteur)
Collectivité auteur: SpringerLink (Online service)
Format: Électronique eBook
Langue:Inglés
Publié: London : Springer London : Imprint: Springer, 2010.
Édition:1st ed. 2010.
Collection:Advanced Information and Knowledge Processing,
Sujets:
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.
Accès en ligne:Texto Completo
Table des matières:
  • 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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