A Hybrid Approach to Process Mining: Finding Immediate Successors of a Process by Using From-To Chart

Esgin E., Senkul P.

8th International Conference on Machine Learning and Applications, Florida, United States Of America, 13 - 15 December 2009, pp.664-665, (Full Text) identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/icmla.2009.107
  • City: Florida
  • Country: United States Of America
  • Page Numbers: pp.664-665
  • Keywords: From-to Chart, Process Discovery, Immediate Successor, Process Mining, Event Logs, MODELS, LOGS
  • Middle East Technical University Affiliated: Yes

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 front-end 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.