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Full Description
Data Mining introduces in clear and simple ways how to use existing data mining methods to obtain effective solutions for a variety of management and engineering design problems.
Data Mining is organised into two parts: the first provides a focused introduction to data mining and the second goes into greater depth on subjects such as customer analysis. It covers almost all managerial activities of a company, including:
• supply chain design,
• product development,
• manufacturing system design,
• product quality control, and
• preservation of privacy.
Incorporating recent developments of data mining that have made it possible to deal with management and engineering design problems with greater efficiency and efficacy, Data Mining presents a number of state-of-the-art topics. It will be an informative source of information for researchers, but will also be a useful reference work for industrial and managerial practitioners.
Contents
1. Decision Analysis and Cluster Analysis.- 2. Association Rules Mining in Inventory Data Base.- 3. Fuzzy Modeling and Optimization: Theory and Methods.- 4. Genetic Algorithm Based Fuzzy Nonlinear Programming.- 5. Neural Network and Self Organizing Maps.- 6. Privacy Preserving Data Mining.- 7. Supply Chain Design by Using Decision Analysis.- 8. Product Architecture and Product Development Process for Global Performance.- 9. Application of Cluster Analysis to Cellular Manufacturing.- 10. Manufacturing Cells Design by Cluster Analysis.- 11. Fuzzy Approach to Quality Function Deployment-based Product Planning.- 12. Decision Making with Consideration of Association in Supply Chains.- 13. Applying Self Organizing Maps to Master Data Making in Automatic Exterior Inspection.- 14. Application for Privacy Preserving Data Mining.
