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 Petri net in modelling, simulation and optimization of process model, and studied the method for reengineering and optimization of information system based on function 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