Foundations and Advances in Data Mining

Wesley Chu

ISBN 10: 3642425380 / ISBN 13: 9783642425387

Published by Springer, Springer Nov 2014, 2014

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 352 pp. Englisch.

Seller Inventory # 9783642425387

Bibliographic Details

• Title: Foundations and Advances in Data Mining
• Publisher: Springer, Springer Nov 2014
• Publication Date: 2014
• Language: English
• ISBN 10: 3642425380
• ISBN 13: 9783642425387
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 20D millimeters 235 millimeters width by 155 millimeters height by 20 millimeters depth
• Weight: 534 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.