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    STUDIA INFORMATICA - Issue no. 2 / 2013  
         
  Article:   BUSINESS PROCESS MINING USING ITERATED LOCAL SEARCH.

Authors:  IOAN SALOMIE.
 
       
         
  Abstract:  

This paper introduces ILS Miner, a novel method for discovering process models from event logs using iterated local search. A comparison between ILS Miner, GLS Miner and HeuristicMiner is presented in this paper. GLS Miner was chosen because applies Guided Local Search for discovering process models from event logs, HeuristicMiner[10] being a legacy method in business process discovery. It is shown that ILS Miner can discover process models that correctly map to the event log. ILS Miner works with business processes represented as graphs, and the final discovered process is represented as a BPMN diagram.

2010 Mathematics Subject Classification. 68-00, 68M14, 68M01, 68N01, 68P10.1998 CR Categories and Descriptors. K.4.3 [Organizational Impacts]: Reengineering; K.4.3 [Organizational Impacts]: Automation; K.4.3 [Organizational Impacts]: Computer-supported collaborative work.

Key words and phrases. Guided Local Search, GLS Miner, Iterated Local Search, business process mining, event log, BPMN.This paper has been presented at the International Conference KEPT2013: Knowledge Engineering Principles and Techniques, organized by Babeș-Bolyai University, Cluj-Napoca, July 5-7 2013.

 
         
     
         
         
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