Title :
A Hybrid Approach to Process Mining: Finding Immediate Successors of a Process by Using From-To Chart
Author :
Esgin, Eren ; Senkul, Pinar
Author_Institution :
Inf. Inst., Middle East Tech. Univ., Ankara, Turkey
Abstract :
Process mining is a branch of data mining that aims to discover process model from the event logs. In this study, we propose a hybrid approach to process mining in such a way that, "from-to chart" is used as the frontend to monitor the transitions among activities of a realistic event log. Another novelty of this study is developed evaluation metrics, which are used for finding immediate successors in order to convert these raw relations into dependency/frequency graph.
Keywords :
business data processing; data mining; graph theory; activity transition monitoring; data mining; dependency graph; evaluation metrics; event logs; frequency graph; from-to chart; process mining; process model discovery; Concurrent computing; Connectors; Machine learning; Machine learning algorithms; Monitoring; Neural networks; Noise measurement; Petri nets; Production; Software engineering; Event Logs; From-to Chart; Immediate Successor; Process Discovery; Process Mining;
Conference_Titel :
Machine Learning and Applications, 2009. ICMLA '09. International Conference on
Conference_Location :
Miami Beach, FL
Print_ISBN :
978-0-7695-3926-3
DOI :
10.1109/ICMLA.2009.107
