Data Mining for Design and Manufacturing Methods and Applications
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 eng
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Data Mining for Design and Manufacturing Methods and Applications
Edited by
Dan Braha Ben-Gurion University
SPRINGER-SCIENCE+BUSINESS MEDIA, B.V.
A C.I.P. Catalogue record for this book is available from the Library of Congress.
ISBN 978-1-4419-5205-9 DOI 10.1007/978-1-4757-4911-3
ISBN 978-1-4757-4911-3 (eBook)
Printed an acid-free paper
AII Rights Reserved © 2001 Springer Science+Business Media Dordrecht Originally published by Kluwer Academic Publishers in 2001 No part of the material protected by this copyright notice may be reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording or by any information storage and retrieval system, without written permission from the copyright owner.
TABLE OF CONTENTS
PREFACE Data Mining for Design and Manufacturing
ix
Dan Braha
PART I: OVERVIEW OF DATA MINING 1 Data Mining: An Introduction
1
Ishwar K. Sethi
2 A Survey of Methodologies and Techniques for Data Mining and Intelligent Data Discovery
41
Ricardo Gonzalez and Ali Kamrani
PART II: DATA MINING IN PRODUCT DESIGN 3 Data Mining in Scientific Data
61
Stephan Rudolph and Peter Hertkorn
4 Learning to Set Up Numerical Optimizations of Engineering Designs
87
Mark Schwabacher, Thomas Ellman, and Haym Hirsh
5 Automatic Classification and Creation of Classification Systems Using Methodologies of "Knowledge Discovery in Databases (KDD)"
127
Hans Grabowski, Ralf-Stefan Lossack, and Jorg Wei/3kopf
6 Data Mining for Knowledge Acquisition in
145
Engineering Design Yoko Ishino and Yan Jin
7 A Data Mining-Based Engineering Design Support System: A Research Agenda Carol J Romanowski and Rakesh Nagi
161
vi
OAT A MINING FOR DESIGN AND MANUFACTURING
PART III: DATA MINING IN MANUFACTURING 8 Data Mining for High Quality and Quick Response Manufacturing
179
Jang-Hee Lee and Sang-Chan Park
9 Data Mining for Process and Quality Control in the Semiconductor Industry
207
Mark Last and Abraham Kandel
10 Analyzing Maintenance Data Using Data Mining Methods
235
Carol J Romanowski and Rakesh Nagi
11 Methodology of Mining Massive Data Sets for Improving Manufacturing Quality/Efficiency
255
Jye-Chyi (JC) Lu
12 Intelligent Process Control System for Quality Improvement by Data Mining in the Process Industry
289
Sewon Oh, Jooyung Han, and Hyunbo Cho
13 Data Mining by Attribute Decomposition with Semiconductor Manufacturing Case Study
311
Oded Maimon and Lior S. Rokach
14 Derivation of Decision Rules for the Evaluation of Product Performance Using Genetic Algorithms and Rough Set Theory
337
Zhai Lian-Yin, Khoo Li-Pheng, and Fok Sai-Cheong
15 An Evaluation of Sampling Methods for Data Mining with Fuzzy C-Means
355
K. Josien, G. Wang, T. W. Liao, E. Triantaphyllou, and M. C. Liu
16 Colour Space Mining for Industrial Monitoring K.J. Brazier, A.G. Deakin, R.D. Cooke, P.C. Russell, and G.R. Jones
371
TABLE OF CONTENTS
17 Non-Traditional Applications of Data Mining
VII
401
Andrew Kusiak
18 Fuzzy-Neural-Genetic Layered Multi-Agent Reactive
