000			03215nam a2200409za04500
001			17400
008			050703s2011 xxk eng d
020			_a9781849963381 99781849963381
082			_a006.312 _b223
100			_aYin, Yong. _eauthor. _934424
245			_aData Mining _h[electronic resource]: _bConcepts, Methods and Applications in Management and Engineering Design / _cby Yong Yin, Ikou Kaku, Jiafu Tang, JianMing Zhu.
250			_a1.
300			_aXIV, 312p. 68 illus. _bonline resource.
490			_aDecision Engineering
490			_x-1619-5736
505			_a1. 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.
520			_aData 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: "ó market segmentation, "ó product design, "ó organization design, "ó manufacturing design, and "ó 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.
650			_934429 _aOPERATION RESEARCH, DECISION THEORY
650			_934428 _aDATA MINING AND KNOWLEDGE DISCOVERY
650			_934427 _aOPERATION RESEARCH
650			_934425 _aDATA MINING
650			_933559 _aENGINEERING DESIGN
650			_933559 _aENGINEERING DESIGN
650			_923206 _aCOMPUTER SCIENCE
650			_923206 _aCOMPUTER SCIENCE
650			_933581 _aENGINEERING ECONOMY
650			_933581 _aENGINEERING ECONOMY
700			_aKaku, Ikou. _934431
700			_eauthor. _934432
700			_aTang, Jiafu. _934433
700			_eauthor. _934432
700			_aZhu, JianMing. _934434
700			_eauthor. _934432
710			_aSpringerLink (Online service) _9111
856			_uhttp://springer.escuelaing.metaproxy.org/book/10.1007/978-3-642-19721-5 _yir a documento _qURL
942			_2ddc _cCF
999			_c14025 _d14025