Developing Multi-Database Mining Applications

• Main Authors: Adhikari, Animesh (Author), Ramachandrarao, Pralhad (Author), Pedrycz, Witold (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: London : Springer London : Imprint: Springer, 2010.
• Series: Advanced Information and Knowledge Processing,
• Subjects: Computer science.; Data mining.; Information storage and retrieval.; Computer Science.; Data Mining and Knowledge Discovery.; Information Storage and Retrieval.; Computer Science, general.; Information Systems Applications (incl. Internet).

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...

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.