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Data Mining For Design And Manufacturing Methods And Applications 1st Edition Ishwar K Sethi Auth

  • SKU: BELL-4199230
Data Mining For Design And Manufacturing Methods And Applications 1st Edition Ishwar K Sethi Auth
$ 31.00 $ 45.00 (-31%)

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Data Mining For Design And Manufacturing Methods And Applications 1st Edition Ishwar K Sethi Auth instant download after payment.

Publisher: Springer US
File Extension: PDF
File size: 20.21 MB
Pages: 524
Author: Ishwar K. Sethi (auth.), Dan Braha (eds.)
ISBN: 9781441952059, 9781475749113, 1441952055, 1475749112
Language: English
Year: 2001
Edition: 1

Product desciption

Data Mining For Design And Manufacturing Methods And Applications 1st Edition Ishwar K Sethi Auth by Ishwar K. Sethi (auth.), Dan Braha (eds.) 9781441952059, 9781475749113, 1441952055, 1475749112 instant download after payment.

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.

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