Data Mining, 9781849963374
Hardcover
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.

Data Mining

concepts, methods and applications in management and engineering design

$473.76

  • Hardcover

    312 pages

  • Release Date

    7 January 2011

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Summary

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,• …

Book Details

ISBN-13:9781849963374
ISBN-10:1849963371
Author:Yong Yin, Ikou Kaku, Jiafu Tang, JianMing Zhu
Publisher:Springer London Ltd
Imprint:Springer London Ltd
Format:Hardcover
Number of Pages:312
Edition:2011th
Release Date:7 January 2011
Weight:599g
Dimensions:235mm x 155mm
Series:Decision Engineering
What They're Saying

Critics Review

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)

About The Author

Yong Yin

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.

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