Title :
Business Process Mining Using Guided Local Search
Author :
Chinces, Diana ; Salomie, Ioan
Author_Institution :
Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania
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;
Conference_Titel :
Parallel and Distributed Computing (ISPDC), 2013 IEEE 12th International Symposium on
Conference_Location :
Bucharest
Print_ISBN :
978-1-4799-2967-2
DOI :
10.1109/ISPDC.2013.31
