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Data Mining
Yin, Yong; Kaku, Ikou; Tang, Jiafu; Zhu, Jianming
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Description for Data Mining
Paperback. This clear and accessible introduction to the subject shows how to use existing data mining methods to obtain effective solutions for a variety of management and engineering design problems. It also covers subjects such as customer analysis in greater depth. Series: Decision Engineering. Num Pages: 326 pages, 35 black & white tables, biography. BIC Classification: KJT; TBC; TBD; UNF. Category: (G) General (US: Trade). Dimension: 235 x 155 x 18. Weight in Grams: 504.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2014
Publisher
Springer London Ltd United Kingdom
Number of pages
326
Condition
New
Series
Decision Engineering
Number of Pages
312
Place of Publication
England, United Kingdom
ISBN
9781447161189
SKU
V9781447161189
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Yin, Yong; Kaku, Ikou; Tang, Jiafu; Zhu, Jianming
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 ... Read more
Reviews for Data Mining
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 ... Read more