Data Mining Concepts, Methods and Applications in Management and Engineering Design / by Yong Yin, Ikou Kaku, Jiafu Tang, JianMing Zhu.

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 int...

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Bibliographic Details
Main Authors: Yin, Yong (Author), Kaku, Ikou (Author), Tang, Jiafu (Author), Zhu, JianMing (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: London : Springer London : Imprint: Springer, 2011.
Edition:1st ed. 2011.
Series:Decision Engineering,
Springer eBook Collection.
Subjects:
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Description
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: • 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.
Physical Description:XIV, 312 p. online resource.
ISBN:9781849963381
ISSN:1619-5736
DOI:10.1007/978-1-84996-338-1