机构

• 长春光学精密机械与物... [2]

采集方式

• OAI收割 [2]

内容类型

• 会议论文 [2]

发表日期

• 2010 [1]
• 2009 [1]

学科主题

筛选

浏览/检索结果: 共2条，第1-2条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Research on software defect prediction based on data mining (EI CONFERENCE) 会议论文  OAI收割 2nd International Conference on Computer and Automation Engineering, ICCAE 2010, February 26, 2010 - February 28, 2010, Singapore, Singapore 作者:  Chen Y. 收藏  |  浏览/下载：36/0  |  提交时间：2013/03/25 As the development of computer technology  software system becomes more and more complicated. Because of human's ability limit  there must be a lot of defects generated in the software development life cycle. This paper reviewed the state of art in the field of software defect management and prediction  and presented data mining technology briefly. Finally  proposed an ideal software defect management and prediction system  researched and analyzed several software defect prediction methods based on data mining techniques and specific models (Bayesian Network and PRM). With this system  we can efficiently draw up some prevention and solution scheme to guide the development of new software. 2010 IEEE.   A dynamic data mining model for engineering management (EI CONFERENCE) 会议论文  OAI收割 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：29/0  |  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.