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 :
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