Data Mining

An essential text for readers wishing to use data mining methods to cope with management and engineering design problems within a company, Data Mining: Concepts, Methods and Applications in Management and Engineering Design stands out from other data mining books by introducing 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. Organized in two parts, the first part is a primer that introduces data mining to those readers who are not familiar with it. This section of the book discusses the methods that are commonly used in management and engineering design, including association rule mining, cluster analysis, grouping genetic algorithms, and fuzzy sets and fuzzy logic. The second part of the book focuses on applications in management and engineering design. This section covers almost all of the 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: Concepts, Methods and Applications in Management and Engineering Design presents a number of state-of-the-art topics not covered in any other publication.

This clear and accessible introduction to the subject shows how to use existing data mining methods to obtain effective solutions for a variety of management and engineering design problems. It also covers subjects such as customer analysis in greater depth.