DocumentCode
619646
Title
Process mining: Matrix representation for bloc discovery
Author
Souhail, Boushaba ; Kabbaj, Mohammed Issam ; Bakkoury, Zohra
Author_Institution
Dept. of Comput. Sci., MOHAMMED V Univ. Agdal, Rabat, Morocco
fYear
2013
fDate
8-9 May 2013
Firstpage
1
Lastpage
5
Abstract
Modeling is practically time-consuming and error-prone task. To help making process modeling easier, the use of process discovery is considered to be an efficient way to create a fitting process model. In this paper, we propose a new method for process discovery based on a process matrix representation to reduce the complexity of discovered processes.
Keywords
business data processing; data mining; matrix algebra; bloc discovery; business process model; complexity reduction; fitting process model; process matrix representation; process mining; Parallel processing; Bloc Discovery; Petri Nets; Process Discovery; Process Mining; Workflow Mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems: Theories and Applications (SITA), 2013 8th International Conference on
Conference_Location
Rabat
Print_ISBN
978-1-4799-0297-2
Type
conf
DOI
10.1109/SITA.2013.6560816
Filename
6560816
Link To Document