Data Mining

Concepts, Methods and Applications in Management and Engineering Design

Nonfiction, Computers, Database Management, General Computing, Science & Nature, Technology
Cover of the book Data Mining by Yong Yin, JianMing Zhu, Ikou Kaku, Jiafu Tang, Springer London
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Author: Yong Yin, JianMing Zhu, Ikou Kaku, Jiafu Tang ISBN: 9781849963381
Publisher: Springer London Publication: March 16, 2011
Imprint: Springer Language: English
Author: Yong Yin, JianMing Zhu, Ikou Kaku, Jiafu Tang
ISBN: 9781849963381
Publisher: Springer London
Publication: March 16, 2011
Imprint: Springer
Language: English

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: • supply chain design, • product development, • manufacturing system design, • product quality control, and • preservation of privacy. 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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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: • supply chain design, • product development, • manufacturing system design, • product quality control, and • preservation of privacy. 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.

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