Data Mining / Decision Engineering (PDF)
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.
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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.
Ikou Kaku is a professor at the Department of Management Science and Engineering, Akita Prefectural University, Japan. His research interests are in human factors related to manufacturing; mathematical modeling and meta heuristics; data mining techniques and their application in inventory management; and supply chain management.
Jiafu Tang is a professor at Northeastern University, Shenyang, China. He works in the Institute of Systems Engineering's Key Laboratory of Integrated Automation of Process Industry of MOE.
JianMing Zhu is a professor at the Central University of Finance and Economics, Beijing, China. He works in the School of Information.
- Autoren: Yong Yin , Ikou Kaku , Jiafu Tang , Jianming Zhu
- 2011, 2011, 312 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 184996338X
- ISBN-13: 9781849963381
- Erscheinungsdatum: 16.03.2011
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Grösse: 4.36 MB
- Ohne Kopierschutz
- Vorlesefunktion
“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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