Data Mining

Concepts, Methods and Applications in Management and Engineering Design

By: Yong Yin, Ikou Kaku, Jiafu Tang

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Paperback | 26 November 2014

At a Glance

Paperback
328 Pages

Dimensions(cm)
23.5 x 15.49 x 1.75

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$249.00

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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: â¢ supply chain design, â¢ product development, â¢ manufacturing system design, â¢ product quality control, and â¢ 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.

Industry Reviews

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)

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