Intelligent Data Mining : Techniques and Applications

Da Ruan

ISBN 10: 3540262563 / ISBN 13: 9783540262565

Published by Springer, Springer, 2005

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 'Intelligent Data Mining - Techniques and Applications' is an organized edited collection of contributed chapters covering basic knowledge for intelligent systems and data mining, applications in economic and management, industrial engineering and other related industrial applications. The main objective of this book is to gather a number of peer-reviewed high quality contributions in the relevant topic areas. The focus is especially on those chapters that provide theoretical/analytical solutions to the problems of real interest in intelligent techniques possibly combined with other traditional tools, for data mining and the corresponding applications to engineers and managers of different industrial sectors. Academic and applied researchers and research students working on data mining can also directly benefit from this book.

Seller Inventory # 9783540262565

Bibliographic Details

• Title: Intelligent Data Mining : Techniques and Applications
• Publisher: Springer, Springer
• Publication Date: 2005
• Language: English
• ISBN 10: 3540262563
• ISBN 13: 9783540262565
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 33D millimeters 241 millimeters width by 160 millimeters height by 33 millimeters depth
• Weight: 951 grams

About this title

Synopsis

"Intelligent Data Mining – Techniques and Applications" is an organized edited collection of contributed chapters covering basic knowledge for intelligent systems and data mining, applications in economic and management, industrial engineering and other related industrial applications. The main objective of this book is to gather a number of peer-reviewed high quality contributions in the relevant topic areas. The focus is especially on those chapters that provide theoretical/analytical solutions to the problems of real interest in intelligent techniques possibly combined with other traditional tools, for data mining and the corresponding applications to engineers and managers of different industrial sectors. Academic and applied researchers and research students working on data mining can also directly benefit from this book.