A Hybrid Approach for Process Mining: Using From-to Chart Arranged by Genetic Algorithms

Esgin E., Senkul P., Cimenbicer C.

5th International Conference on Hybrid Artificial Intelligence Systems, San Sebastian, İspanya, 23 - 25 Haziran 2010, cilt.6076, ss.178-180 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 6076
  • Basıldığı Şehir: San Sebastian
  • Basıldığı Ülke: İspanya
  • Sayfa Sayıları: ss.178-180
  • Anahtar Kelimeler: From-to Chart, Genetic Algorithms (GA), Process Mining, Business Process Modeling (BPM), Event Logs, PROCESS MODELS, LOGS
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

In the scope of this study, a hybrid data analysis methodology to business process modeling is proposed in such a way that; From-to Chart, which is basically used as the front-end to figure out the observed patterns among the activities at realistic event logs, is rearranged by Genetic Algorithms to convert these derived raw relations into activity sequence. According to experimental results, acceptably good (sub-optimal or optimal) solutions are obtained for relatively complex business processes at a reasonable processing time period.