Hujun Yin; Yang Gao; Songcan Chen; Yimin Wen; Guoyong Cai; Tianlong Gu; Junping Du; Antonio J. Tallón-Ballesteros; Zhang Springer International Publishing AG (2017) Pehmeäkantinen kirja
Rui P. Martins; Pui-In Mak; Sai-Weng Sin; Man-Kay Law; Yan Zhu; Yan Lu; Jun Yin; Chi-Hang Chan; Yong Chen; Ka-Fai Un now publishers Inc (2021) Pehmeäkantinen kirja
Springer Sivumäärä: 312 sivua Asu: Kovakantinen kirja Painos: 2011 Julkaisuvuosi: 2011, 07.01.2011 (lisätietoa) Kieli: Englanti Tuotesarja:Decision Engineering
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.