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浏览/检索结果: 共1条，第1-1条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 A dynamic data mining model for engineering management (EI CONFERENCE) 会议论文 2009 Second ISECS International Colloquium on Computing, Communication, Control, and Management, CCCM 2009, August 8, 2009 - August 9, 2009, Sanya, China Zhu J.-W.; Tang Y.-G. 收藏  |  浏览/下载：19/0  |  提交时间：2013/03/25 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. 2009 IEEE.