Developing Multi-Database Mining Applications

• Main Authors: Adhikari, Animesh. (Author), Ramachandrarao, Pralhad. (Author), Pedrycz, Witold. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: London : Springer London : Imprint: Springer, 2010.
• Series: Advanced Information and Knowledge Processing,
• Subjects: Computer science.; Data mining.; Computer Science.; Data Mining and Knowledge Discovery.; Information Systems Applications (incl. Internet).
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-84996-044-1

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:

• Introduction
• 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.