Data Mining Concepts, Methods and Applications in Management and Engineering Design /

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 int...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Yin, Yong (Autor), Kaku, Ikou (Autor), Tang, Jiafu (Autor), Zhu, JianMing (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2011.
Edición:1st ed. 2011.
Colección:Decision Engineering,
Temas:
Data mining.
Industrial Management.
Operations research.
Engineering design.
Data Mining and Knowledge Discovery.
Operations Research and Decision Theory.
Engineering Design.
Acceso en línea:Texto Completo

MARC

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250 |a 1st ed. 2011. 
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300 |a XIV, 312 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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490 1 |a Decision Engineering,  |x 2197-6589 
505 0 |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. 
520 |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. 
650 0 |a Data mining. 
650 0 |a Industrial Management. 
650 0 |a Operations research. 
650 0 |a Engineering design. 
650 1 4 |a Data Mining and Knowledge Discovery. 
650 2 4 |a Industrial Management. 
650 2 4 |a Operations Research and Decision Theory. 
650 2 4 |a Engineering Design. 
700 1 |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.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9781849963374 
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830 0 |a Decision Engineering,  |x 2197-6589 
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912 |a ZDB-2-SXE 
950 |a Engineering (SpringerNature-11647) 
950 |a Engineering (R0) (SpringerNature-43712) 

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