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

fYear

2012

fDate

11-13 Aug. 2012

Firstpage

380

Lastpage

384

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science & Service System (CSSS), 2012 International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4673-0721-5

Type

conf

DOI

10.1109/CSSS.2012.102

Filename

6394340