Authors:
- Introduces data mining methods for the solution of design issues
- Presents methods for preprocessing data prior to mining
- Written by experts
- Includes supplementary material: sn.pub/extras
Part of the book series: Decision Engineering (DECENGIN)
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Table of contents (14 chapters)
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Front Matter
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Back Matter
About this book
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)
Authors and Affiliations
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Department of Economics and Business Management, Yamagata University, Yamagata-shi, Japan
Yong Yin
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Department of Management Science and Engineering, Akita Prefectural University, Yulihonjo, Japan
Ikou Kaku
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Department of Systems Engineering, Northeastern University, Shenyang, China
Jiafu Tang
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School of Information, Central University of Finance and Economics, Beijing, China
JianMing Zhu
About the authors
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.
Bibliographic Information
Book Title: Data Mining
Book Subtitle: Concepts, Methods and Applications in Management and Engineering Design
Authors: Yong Yin, Ikou Kaku, Jiafu Tang, JianMing Zhu
Series Title: Decision Engineering
DOI: https://doi.org/10.1007/978-1-84996-338-1
Publisher: Springer London
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag London Limited 2011
Hardcover ISBN: 978-1-84996-337-4Published: 07 January 2011
Softcover ISBN: 978-1-4471-6118-9Published: 26 November 2014
eBook ISBN: 978-1-84996-338-1Published: 16 March 2011
Series ISSN: 1619-5736
Series E-ISSN: 2197-6589
Edition Number: 1
Number of Pages: XIV, 312
Topics: Data Mining and Knowledge Discovery, Engineering Economics, Organization, Logistics, Marketing, Operations Research/Decision Theory, Engineering Design