Data Mining Concepts, Methods and Applications in Management and Engineering Design

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, Kaku, Ikou (Author), Tang, Jiafu (Author), Zhu, JianMing (Author)
Format: eBook
Language:English
Published: London Springer London 2011, 2011
Edition:1st ed. 2011
Series:Decision Engineering
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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