DocumentCode
643494
Title
Business Process Mining Using Guided Local Search
Author
Chinces, Diana ; Salomie, Ioan
Author_Institution
Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania
fYear
2013
fDate
27-30 June 2013
Firstpage
177
Lastpage
181
Abstract
This paper introduces GLS Miner, a novel method for discovering process models from event logs using guided local search. It is shown that GLS Miner can discover process models that correctly map to the event log. GLS Miner works with business processes represented as graphs, and the final discovered process is represented as a BPMN diagram.
Keywords
business process re-engineering; data mining; graph theory; information retrieval; BPMN diagram; GLS Miner; business process mining; business process representation; event log; graphical representation; guided local search algorithm; process model discovery; Computational modeling; Data mining; Educational institutions; Heuristic algorithms; Organizations; Search problems; BPMN; Guided Local Search; business process mining; event log;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel and Distributed Computing (ISPDC), 2013 IEEE 12th International Symposium on
Conference_Location
Bucharest
Print_ISBN
978-1-4799-2967-2
Type
conf
DOI
10.1109/ISPDC.2013.31
Filename
6663579
Link To Document