A New Process Mining Algorithm Based on Event Type

  • Authors:
  • Dongyi Wang;Jidong Ge;Hao Hu;Bin Luo

  • Affiliations:
  • -;-;-;-

  • Venue:
  • DASC '11 Proceedings of the 2011 IEEE Ninth International Conference on Dependable, Autonomic and Secure Computing
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

The aim of process mining is to rediscover the process model from the event log which is recorded by the information system. Although the omnipresence of the event logs in information system, rarely part of them are considered to analyze the processes. In this paper, we present a new mining algorithm based on the event type we defined. This algorithm not only can detect all of the SWF-nets and short-loops, but also can directly detect the implicit dependency. Because we can obtain more task information from the event log, we can deal with a wider subclass of WF-nets with the algorithm we have presented.