Decision Engineering

Data Mining

Concepts, Methods and Applications in Management and Engineering Design

Authors: Yin, Y., Kaku, I., Tang, J., Zhu, J.

  • Introduces data mining methods for the solution of design issues
  • Presents methods for preprocessing data prior to mining
  • Written by experts
see more benefits

Buy this book

eBook $149.00
price for USA
  • ISBN 978-1-84996-338-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $189.00
price for USA
  • ISBN 978-1-84996-337-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $189.00
price for USA
  • ISBN 978-1-4471-6118-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
About this book

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.

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.

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)


Table of contents (14 chapters)

  • Decision Analysis and Cluster Analysis

    Yin, Yong (et al.)

    Pages 1-8

  • Association Rules Mining in Inventory Database

    Yin, Yong (et al.)

    Pages 9-23

  • Fuzzy Modeling and Optimization: Theory and Methods

    Yin, Yong (et al.)

    Pages 25-54

  • Genetic Algorithm-based Fuzzy Nonlinear Programming

    Yin, Yong (et al.)

    Pages 55-86

  • Neural Network and Self-organizing Maps

    Yin, Yong (et al.)

    Pages 87-100

Buy this book

eBook $149.00
price for USA
  • ISBN 978-1-84996-338-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $189.00
price for USA
  • ISBN 978-1-84996-337-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $189.00
price for USA
  • ISBN 978-1-4471-6118-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
Loading...

Bibliographic Information

Bibliographic Information
Book Title
Data Mining
Book Subtitle
Concepts, Methods and Applications in Management and Engineering Design
Authors
Series Title
Decision Engineering
Copyright
2011
Publisher
Springer-Verlag London
Copyright Holder
Springer-Verlag London Limited
eBook ISBN
978-1-84996-338-1
DOI
10.1007/978-1-84996-338-1
Hardcover ISBN
978-1-84996-337-4
Softcover ISBN
978-1-4471-6118-9
Series ISSN
1619-5736
Edition Number
1
Number of Pages
XIV, 312
Topics