Foundations and Advances in Data Mining

Tsau Young Lin

ISBN 10: 3540250573 / ISBN 13: 9783540250579

Published by Springer Berlin Heidelberg, 2005

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9783540250579

Bibliographic Details

• Title: Foundations and Advances in Data Mining
• Publisher: Springer Berlin Heidelberg
• Publication Date: 2005
• Language: English
• ISBN 10: 3540250573
• ISBN 13: 9783540250579
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 24D millimeters 241 millimeters width by 160 millimeters height by 24 millimeters depth
• Weight: 694 grams

About this title

Synopsis

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.