A Process Data Eztracting Method in Process Planning Knowledge discovery

摘要：

Data Mining (DM) and Knowledge Discovery in Database (KDD) are adopted to obtain the plentiful and effective process planning knowledge (PPK) in the process database. The data extracting is to get the better data which is benefit to mining PPK. This paper presents a process data extracting method in the PPK discovery. In this method, the mining target is defined. Mining target model is built and presented on the base of the entity -relation method. The process data extracting markup language is defined to describe Mining target model into the format which is understood by the computer. The experiment of extracting data for typical process route verified that the method is effective and practical.

关键词： mining target model process data eztracting process planning knowledge discovery process data eztracting markup language

作者: Shunuan Liu Xitian Tian Zhenming Zhang

作者单位: School of Mechatronics Nortwestern Polytechnical University Xian,P.R.China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 517-521

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）