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|a Yin, Yong.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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| 245 |
1 |
0 |
|a Data Mining
|h [electronic resource] :
|b Concepts, Methods and Applications in Management and Engineering Design /
|c by Yong Yin, Ikou Kaku, Jiafu Tang, JianMing Zhu.
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| 250 |
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|a 1st ed. 2011.
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| 264 |
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1 |
|a London :
|b Springer London :
|b Imprint: Springer,
|c 2011.
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| 300 |
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|a XIV, 312 p.
|b online resource.
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|a Decision Engineering,
|x 1619-5736
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| 490 |
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|a Springer eBook Collection
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| 505 |
0 |
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|a 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.
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| 520 |
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|a 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.
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|a Loaded electronically.
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|a Electronic access restricted to members of the Holy Cross Community.
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| 650 |
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|a Data mining.
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| 650 |
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|a Engineering economics.
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| 650 |
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|a Engineering economy.
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| 650 |
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|a Operations research.
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| 650 |
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|a Decision making.
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| 650 |
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|a Engineering design.
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| 690 |
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|a Electronic resources (E-books)
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| 700 |
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|
|a Kaku, Ikou.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
|
| 700 |
1 |
|
|a Tang, Jiafu.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
|
| 700 |
1 |
|
|a Zhu, JianMing.
|e author.
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|4 http://id.loc.gov/vocabulary/relators/aut
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| 710 |
2 |
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