DocumentCode :
3474244
Title :
Workflow mining: Discovering process patterns & data analysis from MXML logs
Author :
Porouhan, Parham ; Jongsawat, Nipat ; Premchaiswadi, Wichian
Author_Institution :
Grad. Sch. of Inf. Technol., Siam Univ., Bangkok, Thailand
fYear :
2013
fDate :
20-22 Nov. 2013
Firstpage :
1
Lastpage :
8
Abstract :
Contemporary workflow management systems are determined by precise process models, i.e., a totally specific workflow design is necessary so as to discover a given workflow process. Creating a workflow design is a complex time-consuming process and characteristically there are conflicts and discrepancies between the real-time workflow processes and the processes as professed by the management. Consequently, we recommend a method for process mining. This method employs workflow logs to determine the workflow process as it is truly being implemented. The process mining method proposed in this paper can cope with noise and can also be exercised to authorize workflow processes by revealing and measuring the discrepancies between prescriptive models and factual process executions.
Keywords :
XML; data analysis; data mining; system monitoring; workflow management software; MXML logs; data analysis; factual process executions; prescriptive models; process mining method; process models; process pattern discovery; workflow logs; workflow management systems; workflow mining; workflow process authorization; Analytical models; Automation; Business; Data mining; Information systems; Process control; Protocols; Business Process; MXML; Model Discovery; Pattern Analysis; Process Mining; Workflow;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
ICT and Knowledge Engineering (ICT&KE), 2013 11th International Conference on
Conference_Location :
Bangkok
ISSN :
2157-0981
Print_ISBN :
978-1-4799-2294-9
Type :
conf
DOI :
10.1109/ICTKE.2013.6756289
Filename :
6756289
Link To Document :
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