Andrea Burattin

Associate Professor
Technical University of Denmark


Heuristics Miner for Time Intervals

A. Burattin, A. Sperduti
Abstract

Process Mining attempts to reconstruct the workflow of a business process from logs of activities. This task is quite important in business scenarios where there is not a well understood and structured definition of the business process performed by workers. Activities logs are thus mined in the attempt to reconstruct the actual business process. In this paper, we propose the generalization of a popular process mining algorithm, named Heuristics Miner, to time intervals. We show that the possibility to use, when available, time interval information for the performed activities allows the algorithm to produce better workflow models.

Paper Information and Files

In Proceedings of European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN) 2010; Bruges, Belgium; April 28-30, 2010.

Presentation Slides
General rights

Copyright and moral rights for the publications made accessible in the public website are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.

If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.

Latest website update: 24 March 2024.