In this paper, we present a model for unsupervised pattern discovery using non-negative matrix factorization (NMF) with graph regularization. Though the regularization can be appl...
Process mining has proven to be a valuable tool for analyzing operational process executions based on event logs. Existing techniques perform well on structured processes, but stil...
This paper presents Process Algebra for Predictible Control Systems (PAPCS) as a model for specifying and analysis of concurrent, time and resource dependent, distributed control s...
Empirical equations are an important class of regularities that can be discovered in databases. In this paper we concentrate on the role of equations as de nitions of attribute val...
This tool paper describes the functionality of ProM. Version 4.0 of ProM has been released at the end of 2006 and this version reflects recent achievements in process mining. Proc...
Wil M. P. van der Aalst, Boudewijn F. van Dongen, ...