Title :
Study of the Process Modeling Based on Petri Net
Author :
Ping, Zong ; Jun, Qin ; Chen, Han ; Xi, Lu
Author_Institution :
Coll. of Overseas Educ., Nanjing Univ. of Posts & Telecommun., Nanjing, China
Abstract :
Process mining is one key technology in PASI, it can extract the relevant knowledge according to the event log information recorded in the information system, then restructure a process instance model and makes all the information track in the event log can meet the process model. In this paper, based on α algorithm of process mining, we propose the process mining y algorithm which can discover the cycle activities and the activities with duplicate name in event log. Finally, , we validates the correctness and effectivity of the y algorithm in the process mining framework ProM5.2.
Keywords :
Petri nets; data mining; information systems; PASI; Petri net; ProM5.2; cycle activities; event log information; information system; process instance model; process mining algorithm; process modeling; process-aware information systems; relevant knowledge extraction; Algorithm design and analysis; Business; Classification algorithms; Data mining; Data models; Process control; Unified modeling language; ?algorithm; PASI Net; process mining; process modeling;
Conference_Titel :
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0721-5
DOI :
10.1109/CSSS.2012.102
