Data Mining Concepts, Methods and Applications in Management and Engineering Design / by Yong Yin, Ikou Kaku, Jiafu Tang, JianMing Zhu.

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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Bibliographic Details
Main Authors: Yin, Yong (Author), Kaku, Ikou (Author), Tang, Jiafu (Author), Zhu, JianMing (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: London : Springer London : Imprint: Springer, 2011.
Edition:1st ed. 2011.
Series:Decision Engineering,
Springer eBook Collection.
Subjects:
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • 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.