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 into greater depth on subjects such as customer analysis.

It covers almost all managerial activities of a company, including:

• supply chain design
• product development
• manufacturing system design
• product quality control and preservation of privacy

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.

Table of Contents

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