Decision Mining in ProM

By Anne Rozinat, Wil M.P. van der Aalst. International Conference on Business Process Management, 2006

348 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Process mining: a two-step approach to balance between underfitting and overfitting (2008, background): “As an example consider the conformance checking algorithms described in Rozinat and van der Aalst [37].”
Business Process Management: A Comprehensive Survey (2013, neutral): “The connection can be used to repair models [94] or to extend them [190, 194, 192, 193].”
Discovering simulation models (2009, positive): “Figure 3(c)), we subsequently want to find rules for following one route or the other [20].”
Towards comprehensive support for organizational mining (2008, background): “Decision mining, also referred to as decision point analysis, aims at the detection of data dependencies that affect the routing of a case [27].”
Enabling Flexibility in Process-Aware Information Systems (2012, methodology): “Decision mining, for example, provides a technique for enhancing a (discovered) process model with information about transition conditions [304].”
Process mining techniques for analysing patterns and strategies in students’ self-regulated learning (2013, methodology): “For both aspects, specific analysis and data mining methods are available in the ProM-Framework (e.g., Rozinat and van der Aalst 2006).”