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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: ¿ 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.
| Autorius: | Yong Yin, Jianming Zhu, Jiafu Tang, Ikou Kaku, |
| Serija: | Decision Engineering |
| Leidėjas: | Springer London |
| Išleidimo metai: | 2011 |
| Knygos puslapių skaičius: | 328 |
| ISBN-10: | 1849963371 |
| ISBN-13: | 9781849963374 |
| Formatas: | 241 x 160 x 25 mm. Knyga kietu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Data Mining: Concepts, Methods and Applications in Management and Engineering Design“
