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© 2011

Data Mining

Concepts, Methods and Applications in Management and Engineering Design

Book

Part of the Decision Engineering book series (DECENGIN)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Yong Yin, Ikou Kaku, Jiafu Tang, JianMing Zhu
    Pages 1-8
  3. Yong Yin, Ikou Kaku, Jiafu Tang, JianMing Zhu
    Pages 9-23
  4. Yong Yin, Ikou Kaku, Jiafu Tang, JianMing Zhu
    Pages 25-54
  5. Yong Yin, Ikou Kaku, Jiafu Tang, JianMing Zhu
    Pages 55-86
  6. Yong Yin, Ikou Kaku, Jiafu Tang, JianMing Zhu
    Pages 87-100
  7. Yong Yin, Ikou Kaku, Jiafu Tang, JianMing Zhu
    Pages 101-119
  8. Yong Yin, Ikou Kaku, Jiafu Tang, JianMing Zhu
    Pages 121-132
  9. Yong Yin, Ikou Kaku, Jiafu Tang, JianMing Zhu
    Pages 133-155
  10. Yong Yin, Ikou Kaku, Jiafu Tang, JianMing Zhu
    Pages 157-205
  11. Yong Yin, Ikou Kaku, Jiafu Tang, JianMing Zhu
    Pages 207-231
  12. Yong Yin, Ikou Kaku, Jiafu Tang, JianMing Zhu
    Pages 233-249
  13. Yong Yin, Ikou Kaku, Jiafu Tang, JianMing Zhu
    Pages 251-268
  14. Yong Yin, Ikou Kaku, Jiafu Tang, JianMing Zhu
    Pages 269-284
  15. Yong Yin, Ikou Kaku, Jiafu Tang, JianMing Zhu
    Pages 285-309
  16. Back Matter
    Pages 311-312

About this book

Introduction

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:
• 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 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.

Keywords

Data Mining Decision Sciences Industrial Engineering Management Science Operations Management

Authors and affiliations

  1. 1.Department of Economics and Business ManagementYamagata UniversityYamagata-shiJapan
  2. 2.Department of Management Science and EngineeringAkita Prefectural UniversityYulihonjoJapan
  3. 3.Department of Systems EngineeringNortheastern UniversityShenyangChina
  4. 4.School of InformationCentral University of Finance and EconomicsBeijingChina

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

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)