The ProM Framework: A New Era in Process Mining Tool Support

By Boudewijn van Dongen, A. A. D. Medeiros, H. Verbeek, A. Weijters, Wil M.P. van der Aalst. ICATPN, 2005

1,098 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/fe2483aca4fbba9acbf1fbcaff60a5698ca9e6cb

How researchers see this paper

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

In Artificial Intelligence

In Information Systems

In Management Information Systems

Citations in the corpus

XES, XESame, and ProM 6 (2010, methodology): “For this reason, Section 4 introduces the XES tool ProM6, which is the upcoming release of the ProM framework [8].”
Business process analysis in healthcare environments: A methodology based on process mining (2012, methodology): “All of these techniques are available in the ProM framework [33], an open-source Java application with an extensible plug-in architecture1.”
Discovering expressive process models by clustering log traces (2006, methodology): “All the algorithms proposed in the paper have been implemented and recently integrated in the ProM process mining framework [36] as an analysis plug-in, where the user is allowed to exploit any available mining algorithm to equip each cluster with a schema.”
Flexible Heuristics Miner (FHM) (2011, methodology): “It is an updated version of the HeuristicsMiner (HM) [8] as implemeted in ProM framework [3].”
Business process mining: An industrial application (2007, methodology): “Therefore, these tools have been integrated in the ProM framework [36].”
Process mining in healthcare: A literature review (2016, methodology): “ProM has implemented a large number of techniques and algorithms [82] and has been used throughout different case studies (42% or 31 of the 74 case studies) [1,11,12,14,16,29,30,34,37,39,42,47,51,54–5 7,59,61,62,67,74–76,79–81,83–86].”
Keystroke Logging in Writing Research (2013, methodology): “In this study we used the ProM Framework (Van Dongen, De Medeiros, Verbeek, Weijters, & van der Aalst, 2005), which consists of a large number of plug-ins for event log analysis.”
A Declarative Approach for Flexible Business Processes Management (2006, methodology): “Moreover, the system will be linked to our process mining tool ProM [8] (www.processmining.org).”
Process mining with the HeuristicsMiner algorithm (2006, methodology): “The HeuristicsMiner is implemented Java in the ProM framework [5] and in a stand alone version in Delphi.”
Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour (2013, methodology): “IMi is implemented in the InductiveMiner package of the ProM framework [14].”
Discovering Block-Structured Process Models from Event Logs - A Constructive Approach (2013, methodology): “We implemented a prototype of the B′ algorithm as the InductiveMiner plugin of the ProM framework [12], see http://www.”
Reinforcement learning based resource allocation in business process management (2011, methodology): “RLRAMhas been implemented in the ProM framework [56].”
DECLARE: Full Support for Loosely-Structured Processes (2007, methodology): “The recommendation service of ProM [10] generates recommendations for DECLARE based on the comparison of the current process instance (partial instance) with past executions (logs), while favoring those executions that satisfy the specified goal, as shown in Figure 15.”
Genetic Process Mining (2005, methodology): “The algorithm is implemented as the Multi-phase mining plug-in at the ProM framework tool [32].”