Data Mining for Design and Manufacturing

I: Overview of Data Mining.- 1 Data Mining: An Introduction.- 2 A Survey of Methodologies and Techniques for Data Mining and Intelligent Data Discovery.- II: Data Mining in Product Design.- 3 Data Mining in Scientific Data.- 4 Learning to Set Up Numerical Optimizations of Engineering Designs.- 5 Automatic Classification and Creation of Classification Systems Using Methodologies of “Knowledge Discovery in Databases (KDD)”.- 6 Data Mining for Knowledge Acquisition in Engineering Design.- 7 A Data Mining-Based Engineering Design Support System: A Research Agenda.- III: Data Mining in Manufacturing.- 8 Data Mining for High Quality and Quick Response Manufacturing.- 9 Data Mining for Process and Quality Control in the Semiconductor Industry.- 10 Analyzing Maintenance Data Using Data Mining Methods.- 11 Methodology of Mining Massive Data Sets for Improving Manufacturing Quality/Efficiency.- 12 Intelligent Process Control System for Quality Improvement by Data Mining in the Process Industry.- 13 Data Mining by Attribute Decomposition with Semiconductor Manufacturing Case Study.- 14 Derivation of Decision Rules for the Evaluation of Product Performance Using Genetic Algorithms and Rough Set Theory.- 15 An Evaluation of Sampling Methods for Data Mining with Fuzzy C-Means.- 16 Colour Space Mining for Industrial Monitoring.- 17 Non-Traditional Applications of Data Mining.- 18 Fuzzy-Neural-Genetic Layered Multi-Agent Reactive Control of Robotic Soccer.- IV: Enabling Technologies for Data Mining in Design and Manufacturing.- 19 Method-Specific Knowledge Compilation.- 20 A Study of Technical Challenges in Relocation of a Manufacturing Site.- 21 Using Imprecise Analogical Reasoning to Refine the Query Answers for Heterogeneous Multidatabase Systems in Virtual Enterprises.- 22 TheUse of Process Capability Data in Design.