DocumentCode
2971331
Title
Process mining in business process management: Concepts and challenges
Author
Saylam, Rabia ; Sahingoz, Ozgur Koray
Author_Institution
Dept. of Comput. Eng., Turkish Air Force Acad., Istanbul, Turkey
fYear
2013
fDate
7-9 Nov. 2013
Firstpage
131
Lastpage
134
Abstract
Process mining is an emerging research area that aims to improve the analysis of Business Process Models (BPMs) by extracting knowledge from event logs. What actually happened in the organization is set forth for consideration, not what people think about the organization. Therefore, it can be used in various industrial and scientific applications. This paper aims to provide information about the process mining concept, by revealing the differences with data mining, which is more commonly known in the literature, to point out the challenges in the use of BPM, to introduce the studies on this subject, to serve as a guide and to provide meta-information for researchers, scientists, software developers, etc. who are interested in the process mining.
Keywords
business data processing; data mining; knowledge management; BPM; business process management; business process models; data mining; event logs; industrial applications; knowledge extraction; meta-information; organization; process mining; scientific applications; Analytical models; Business; Data mining; Data models; Process control; Software; Unified modeling language; Data Mining; Process Mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Computer and Computation (ICECCO), 2013 International Conference on
Conference_Location
Ankara
Type
conf
DOI
10.1109/ICECCO.2013.6718246
Filename
6718246
Link To Document