Data Mining
Concepts, Methods and Applications in Management and Engineering Design
Nonfiction, Computers, Database Management, General Computing, Science & Nature, Technology
| 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.
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.
