ENGLISH

Foundations and Advances in Data Mining

By T. Poggio , S. Smale (auth.) , Professor Wesley Chu , Professor Tsau Young Lin (eds.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2005
ISBN
978-3-540-25057-9, 978-3-540-32393-8
DOI
10.1007/b104039
Language
english
Format
PDF
Filesize
8 MB (8451433 bytes)
Series
Studies in Fuzziness and Soft Computing 180
Edition
1
Pages
342\346
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Appl.Mathematics/Computational Methods of EngineerCircuits

Description

With the growing use of information technology and the recent advances in web systems, the amount of data available to users has increased exponentially. Thus, there is a critical need to understand the content of the data. As a result, data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor" syndrome. In this carefully edited volume a theoretical foundation as well as important new directions for data-mining research are presented. It brings together a set of well respected data mining theoreticians and researchers with practical data mining experiences. The presented theories will give data mining practitioners a scientific perspective in data mining and thus provide more insight into their problems, and the provided new data mining topics can be expected to stimulate further research in these important directions.

Similar books