Data Mining: Concepts, Methods and Applications in Management and Engineering Design

Yong Yin · Ikou Kaku · Jiafu Tang · JianMing Zhu

mars 2011 · Springer Science & Business Media

À propos de cet e-book

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.

À propos de l'auteur

Yong Yin has been Associate Professor at Yamagata University, Japan, since 2004. He was previously Assistant Professor at the same university from 2002 to 2004. His research areas are manufacturing strategy; product development; workforce agility; and supply chain management.

Ikou Kaku is a professor at the Department of Management Science and Engineering, Akita Prefectural University, Japan. His research interests are in human factors related to manufacturing; mathematical modeling and meta heuristics; data mining techniques and their application in inventory management; and supply chain management.

Jiafu Tang is a professor at Northeastern University, Shenyang, China. He works in the Institute of Systems Engineering's Key Laboratory of Integrated Automation of Process Industry of MOE.

JianMing Zhu is a professor at the Central University of Finance and Economics, Beijing, China. He works in the School of Information.