Data Mining for Design and Manufacturing

. Ed(s): Braha, Dan

ISBN 10: 1402000340 / ISBN 13: 9781402000348

Published by Kluwer Academic Publishers, 2001

About this Item

Brings together research and applications for data mining within design and manufacturing. This book aims: to clarify the integration of data mining in engineering design and manufacturing, to present a range of domains to which data mining can be applied, and to show the need for symbiotic collaboration of expertise in design and manufacturing. Editor(s): Braha, Dan. Series: Massive Computing. Num Pages: 542 pages, biography. BIC Classification: UN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 30. Weight in Grams: 940. . 2001. Hardback. . . . . Books ship from the US and Ireland.

Seller Inventory # V9781402000348

Bibliographic Details

• Title: Data Mining for Design and Manufacturing
• Publisher: Kluwer Academic Publishers
• Publication Date: 2001
• Language: English
• ISBN 10: 1402000340
• ISBN 13: 9781402000348
• Binding: Hardcover
• Condition: New

About this title

Synopsis

Data Mining for Design and Manufacturing: Methods and Applications is the first book that brings together research and applications for data mining within design and manufacturing. The aim of the book is 1) to clarify the integration of data mining in engineering design and manufacturing, 2) to present a wide range of domains to which data mining can be applied, 3) to demonstrate the essential need for symbiotic collaboration of expertise in design and manufacturing, data mining, and information technology, and 4) to illustrate how to overcome central problems in design and manufacturing environments. The book also presents formal tools required to extract valuable information from design and manufacturing data, and facilitates interdisciplinary problem solving for enhanced decision making.
Audience: The book is aimed at both academic and practising audiences. It can serve as a reference or textbook for senior or graduate level students in Engineering, Computer, and Management Sciences who are interested in data mining technologies. The book will be useful for practitioners interested in utilizing data mining techniques in design and manufacturing as well as for computer software developers engaged in developing data mining tools.