From the reviews:
“The book is a combination of a textbook and a collection of papers. … useful for industrial and managerial practitioners who want to understand DM-related methods and how they could use DM to support their decisions. Beginning researchers might also benefit because the book reflects the diversity of DM methods without providing complex details of the algorithms. … this book will inspire and motivate decision makers to consider DM as a useful approach for solving some decision problems.” (Robert Stahlbock, Interfaces, Vol. 42 (4), July-August, 2012)
“The authors spend the first six chapters of this book introducing the various methods of data analysis, focusing on programming algorithms for data mining related to the fields of business management and engineering design. … Each chapter ends with a number of references that provide additional resources for those who wish to explore the issues further. … I recommend this book to practitioners and researchers who are interested in data mining applications for business management and engineering design.” (E. Y. Lee, ACM Computing Reviews, June, 2011)
Data Mining
Concepts, Methods and Applications in Management and Engineering Design
von Yong Yin, Ikou Kaku, Jiafu Tang und JianMing ZhuData 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.
