DocumentCode :
3107059
Title :
Finding Structure in Unstructured Processes: The Case for Process Mining
Author :
van der Aalst, W.M.P. ; Günth, C.W.
Author_Institution :
Eindhoven Univ. of Technol., Eindhoven
fYear :
2007
fDate :
10-13 July 2007
Firstpage :
3
Lastpage :
12
Abstract :
Today there are many process mining techniques that allow for the automatic construction of process models based on event logs. Unlike synthesis techniques (e.g., based on regions), process mining aims at the discovery of models (e.g., Petri nets) from incomplete information (i.e., only example behavior is given). The more mature process mining techniques perform well on structured processes. However, most of the existing techniques fail miserably when confronted with unstructured processes. This paper attempts to "bring structure to the unstructured" by using an integrated combination of abstraction and clustering techniques. The ultimate goal is to present process models that are understandable by analysts and that lead to improved system/process redesigns.
Keywords :
data mining; enterprise resource planning; abstraction; clustering techniques; event logs; process mining; unstructured processes; Bismuth; Concurrent computing; Design methodology; Embedded system; Hospitals; Humans; PROM; Petri nets; Roads; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Application of Concurrency to System Design, 2007. ACSD 2007. Seventh International Conference on
Conference_Location :
Bratislava
ISSN :
1550-4808
Print_ISBN :
0-7695-2902-X
Type :
conf
DOI :
10.1109/ACSD.2007.50
Filename :
4276259
Link To Document :
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