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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Bibliographic Details
Main Authors: Adhikari, Animesh, Ramachandrarao, Pralhad (Author), Pedrycz, Witold (Author)
Format: eBook
Language:English
Published: London Springer London 2010, 2010
Edition:1st ed. 2010
Series:Advanced Information and Knowledge Processing
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 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