ENGLISH

Developing multi-database mining applications

By Witold Pedrycz (auth.) , Animesh Adhikari , Pralhad Ramachandrarao

Book information

Publisher
Springer-Verlag London
Year
2010
ISBN
1849960437, 978-1-4471-2563-1, 978-1-84996-043-4, 978-1-84996-044-1
DOI
10.1007/978-1-84996-044-1
LCC
QA76.9.D343 A3316 2010
Google Books ID
nCn5k9KCID8C
Language
english
Format
PDF
Filesize
2 MB (1818911 bytes)
Series
Advanced information and knowledge processing
Edition
1
Pages
130\136
Orientation
yes
Scanned
no
Time added
2011-06-04 13:46:07
Data Mining and Knowledge Discovery; Information S

Description

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 different branches, demonstrating how carefully selected multi-database mining techniques contribute to successful real-world applications. In showing and quantifying how the efficiency of a multi-database mining application can be improved by processing more patterns, the book also covers other essential design aspects. These are carefully investigated and include a determination of an appropriate multi-database mining model, how to select relevant databases, choosing an appropriate pattern synthesizing technique, representing pattern space, and constructing an efficient algorithm. The authors illustrate each of these development issues either in the context of a specific problem at hand, or via some general settings. Developing Multi-Database Mining Applications will be welcomed by practitioners, researchers and students working in the area of data mining and knowledge discovery.

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