8th International Conference on Machine Learning and Applications, Florida, Amerika Birleşik Devletleri, 13 - 15 Aralık 2009, ss.664-665
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.