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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Hauptverfasser: Yin, Yong, Kaku, Ikou (VerfasserIn), Tang, Jiafu (VerfasserIn), Zhu, JianMing (VerfasserIn)
Format: Livre numérique
Sprache:Anglais
Veröffentlicht: London : Springer London [20..].
Cham : Springer Nature
Ausgabe:1.
Schriftenreihe:Decision Engineering
Online Zugang:Accès sur la plateforme de l'éditeur
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Anmerkung: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Data mining, concepts, methods and applications in management and engineering design, Yong Yin, Ikou Kaku, Jiafu Tang... [et al.], London, Springer, 2011, 1 vol. (312 p.), Decision engineering, 978-1-84996-337-4
• Data mining, concepts, methods and applications in management and engineering design, Yong Yin, Ikou Kaku, Jiafu Tang... [et al.], London, Springer, 2011, 1 vol. (312 p.), Decision engineering, 978-1-84996-337-4
• Data Mining, Texte imprimé, 9781447161189
• Data Mining, Texte imprimé, 9781849963398
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505 1 |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 |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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700 1 |a Tang, Jiafu.  |4 aut 
700 1 |a Zhu, JianMing.  |4 aut 
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