Title :
A dynamic data mining model for engineering management
Author :
Zhu, Ji-Wei ; Tang, Yu-Guo
Abstract :
Data mining has become increasingly critical for the success of companies in this emerging era of engineering management. As engineering management activities increasingly shift to the Web, the challenge facing corporate management is maintaining competitive advantage by building strong relations with employees, customers, and suppliers and partners. A good data mining strategy can help achieve this goal. Unfortunately, many companies use data mining technologies that do not suit today´s new information era. This paper addresses the definitions about data mining, area of data mining, development of data mining, then provide an summary of the driving and impeding forces that help and hinder proper deployment of data mining strategies in engineering management. Finally, the paper advocates the strategy of data mining for engineering management.
Keywords :
Internet; data mining; knowledge management; Internet; corporate management; customer partner relationship; dynamic data mining model; engineering management; Communication system control; Data mining; Engineering management; Impedance; Information management; Information technology; Knowledge management; Physics; Research and development management; Technology management; Data mining; Engineering Management; Intellectual Capital;
Conference_Titel :
Computing, Communication, Control, and Management, 2009. CCCM 2009. ISECS International Colloquium on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-4247-8
DOI :
10.1109/CCCM.2009.5268123