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Data Mining: Concepts, Methods and Applications in Management and Engineering Design (2011)

Contributor(s): Yin, Yong (Author), Kaku, Ikou (Author), Tang, Jiafu (Author), Zhu, Jianming (Author)

ISBN: 9781447161189

Publisher: Springer

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Pub Date: November 26, 2014

Dewey: 006.312

Lexile Code: 0000

Features: Illustrated, Maps

Target Age Group: NA to NA

Physical Info: 0.69" H x 9.21" L x 6.14" W ( 1.01 lbs) 312 pages

Series: Decision Engineering

Descriptions, Reviews, etc.

Description:

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.

Review Quotes:

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)

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