Yin, Yong.
Data Mining Concepts, Methods and Applications in Management and Engineering Design / [electronic resource] : by Yong Yin, Ikou Kaku, Jiafu Tang, JianMing Zhu. - 1. - XIV, 312p. 68 illus. online resource. - Decision Engineering, 1619-5736 . - Decision Engineering, .
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.
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: • market segmentation, • product design, • organization design, • manufacturing design, and • supply chain design. 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.
9781849963381
10.1007/978-1-84996-338-1 doi
Computer science.
Data mining.
Engineering design.
Engineering economy.
Operations research.
Computer Science.
Data Mining and Knowledge Discovery.
Engineering Economics, Organization, Logistics, Marketing.
Operation Research/Decision Theory.
Engineering Design.
QA76.9.D343
006.312
Data Mining Concepts, Methods and Applications in Management and Engineering Design / [electronic resource] : by Yong Yin, Ikou Kaku, Jiafu Tang, JianMing Zhu. - 1. - XIV, 312p. 68 illus. online resource. - Decision Engineering, 1619-5736 . - Decision Engineering, .
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.
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: • market segmentation, • product design, • organization design, • manufacturing design, and • supply chain design. 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.
9781849963381
10.1007/978-1-84996-338-1 doi
Computer science.
Data mining.
Engineering design.
Engineering economy.
Operations research.
Computer Science.
Data Mining and Knowledge Discovery.
Engineering Economics, Organization, Logistics, Marketing.
Operation Research/Decision Theory.
Engineering Design.
QA76.9.D343
006.312