Applying Data Mining and Petri Net in Reengineering of Manufacture Management Information System
This paper studied association rules mining algorithm for mining process model in workflow log of manufacture management information system with XML technology, applied Petti Net in modelling, simulation and optimization of process model, and studied the method for reengineering and optimization of information system based on Junction units in terms of optimized process model, it was pointed that the difference between actual process model and the process model implied in information system would lead to the decrease of efficiency of information system, and the reengineering and optimization of information system based on actual optimized process model would lead to improvement of efficiency. It was proved with experiments that the association rules mining algorithm put forward in this paper is better than traditional algorithm Apriori in performance.
Reengineering Data mining Petri nets Enterprise resource planning
Shaoqin Wu Chaoan Lai Yanming Sun
College of Mechanical Engineering, South China University of Technology, Guangzhou, Guangdong 510640 School of Business Administration, South China University of Technology, Guangzhou, Guangdong 510640
国际会议
2006 Asia-Pacific Services Computing Conference(IEEE亚太地区服务计算会议)
广州
英文
200-206
2006-12-12（万方平台首次上网日期，不代表论文的发表时间）