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


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2005

AUTHORS

B. F. van Dongen , A. K. A. de Medeiros , H. M. W. Verbeek , A. J. M. M. Weijters , W. M. P. van der Aalst

ABSTRACT

Under the umbrella of buzzwords such as “Business Activity Monitoring” (BAM) and “Business Process Intelligence” (BPI) both academic (e.g., EMiT, Little Thumb, InWoLvE, Process Miner, and MinSoN) and commercial tools (e.g., ARIS PPM, HP BPI, and ILOG JViews) have been developed. The goal of these tools is to extract knowledge from event logs (e.g., transaction logs in an ERP system or audit trails in a WFM system), i.e., to do process mining. Unfortunately, tools use different formats for reading/storing log files and present their results in different ways. This makes it difficult to use different tools on the same data set and to compare the mining results. Furthermore, some of these tools implement concepts that can be very useful in the other tools but it is often difficult to combine tools. As a result, researchers working on new process mining techniques are forced to build a mining infrastructure from scratch or test their techniques in an isolated way, disconnected from any practical applications. To overcome these kind of problems, we have developed the ProM framework, i.e., an “pluggable” environment for process mining. The framework is flexible with respect to the input and output format, and is also open enough to allow for the easy reuse of code during the implementation of new process mining ideas. This paper introduces the ProM framework and gives an overview of the plug-ins that have been developed. More... »

PAGES

444-454

Book

TITLE

Applications and Theory of Petri Nets 2005

ISBN

978-3-540-26301-2
978-3-540-31559-9

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/11494744_25

DOI

http://dx.doi.org/10.1007/11494744_25

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1001460653


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