Data Mining for Design and Manufacturing: Methods and Applications: Massive Computing, cartea 3
Editat de D. Brahaen Limba Engleză Hardback – 31 oct 2001
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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Specificații
ISBN-13: 9781402000348
ISBN-10: 1402000340
Pagini: 548
Ilustrații: XVIII, 524 p.
Dimensiuni: 155 x 235 x 35 mm
Greutate: 0.99 kg
Ediția:2002
Editura: Springer Us
Colecția Springer
Seria Massive Computing
Locul publicării:New York, NY, United States
ISBN-10: 1402000340
Pagini: 548
Ilustrații: XVIII, 524 p.
Dimensiuni: 155 x 235 x 35 mm
Greutate: 0.99 kg
Ediția:2002
Editura: Springer Us
Colecția Springer
Seria Massive Computing
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
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.