ProM framework

Overview

Entry last updated: 2008/08/05
Entry last validated: 2008/08/05

Tool homepage: http://www.processmining.org

Tool availability: Free of charge

Tool Features

Petri Nets Supported (see also help on terminology) Components (see also help on terminology)

Environments

Tool Description

ProM - the leading process mining toolkit.

Processes are an integral part of today's world, driving services and internal functionalities in businesses, governmental bodies, and organizations around the globe. While there are plenty of systems available for supporting the execution of such processes, the current practices for monitoring and analyzing this execution in the organizational reality still leaves a lot to be desired. Process Mining is able to fill that gap, providing revolutionary means for the analysis and monitoring of real-life processes.

Process Mining research is concerned with the extraction of knowledge about a (business) process from its process execution logs. Process Mining strives to gain insight into various perspectives, such as the process (or control flow) perspective, the performance, data, and organizational perspective (The processmining.org web site has more in-depth information and scientific publications available).

ProM is an extensible framework that supports a wide variety of process mining techniques in the form of plug-ins. It is platform independent as it is implemented in Java, and can be downloaded free of charge. We welcome and support practical applications of ProM! Note that the ProM framework is issued under an open source license, namely the Common Public License (CPL), and we invite researchers and developers to contribute in the form of new plug-ins.

Currently, there are already more than 230 plug-ins available, and we support the import of (and the conversion between) several process modelling languages, such as:

There are mining plugins, such as:

Furthermore, there are analysis plugins dealing with:

Finally, ProM sports a large array of log filters, which are a valuable tool for cleaning logs from undesired, or unimportant, artefacts.

Contact Information

Technische Universiteit Eindhoven  
HG 7.73, Postbus 513, 5600 MB  
Eindhoven - The Netherlands  

Phone:  +31 40 247 2733 
Fax:    +31 40 246 3992
E-mail: wsinfsys@tue.nl

Other Remarks


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