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A process data extracting method in process planning knowledge discovery

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3 Author(s)
Shunuan Liu ; Sch. of Mechatron., Nortwestern Polytech. Univ., Xi''an, China ; Xitian Tian ; Zhenming Zhang

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.

Published in:

Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on  (Volume:1 )

Date of Conference:

20-22 Nov. 2009