Data Mining for Design and Manufacturing: Methods and Applications

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D. Braha
Springer Science & Business Media, Mar 14, 2013 - Computers - 524 pages
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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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Contents

A Survey of Methodologies and Techniques for Data
41
DATA MINING IN PRODUCT DESIGN
60
Learning to Set Up Numerical Optimizations of
87
Automatic Classification and Creation of 127
126
Data Mining for Knowledge Acquisition in
145
A Data MiningBased Engineering Design Support
161
Data Mining for High Quality and Quick Response
179
Data Mining for Process and Quality Control in the 207
206
Derivation of Decision Rules for the Evaluation of
337
An Evaluation of Sampling Methods for Data Mining 355
354
Colour Space Mining for Industrial Monitoring
371
NonTraditional Applications of Data Mining
401
FuzzyNeuralGenetic Layered MultiAgent Reactive
417
MethodSpecific Knowledge Compilation
443
A Study of Technical Challenges in Relocation of a 465
464
Using Imprecise Analogical Reasoning to Refine the
487

Analyzing Maintenance Data Using Data Mining
235
Methodology of Mining Massive Data Sets for
255
Intelligent Process Control System for Quality
289
Data Mining by Attribute Decomposition with
311
The Use of Process Capability Data in Design
505
INDEX
519
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