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:
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.
Chapter 1 Decision Analysis and Cluster Analysis
Chapter 2 Association Rules Mining in Inventory Database
Chapter 3 Fuzzy Modeling and Optimization: Theory and Methods
Chapter 4 Genetic Algorithm-based Fuzzy Nonlinear Programming
Chapter 5 Neural Network and Self-organizing Maps
Chapter 6 Privacy-preserving Data Mining
Chapter 7 Supply Chain Design Using Decision Analysis
Chapter 8 Product Architecture and Product Development Processfor Global Performance
Chapter 9 Application of Cluster Analysis to Cellular Manufacturing
Chapter 10 Manufacturing Cells Design by Cluster Analysis
Chapter 11 Fuzzy Approach to Quality Function Deployment-based Product Planning
Chapter 12 Decision Making with Consideration of Associationin Supply Chains
Chapter 13 Applying Self-organizing Maps to Master Data Makingin Automatic Exterior Inspection
Chapter 14 Application for Privacy-preserving Data Mining
