Call for Papers and Other Useful Academic Information

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ProM 5.0: From Process Discovery to Process Analysis and Conversion

The process mining framework ProM provides a versatile and extendible
plugable environment for process mining. ProM 5.0 offers almost 250
plug-ins proving a wide range of functionality, and supports different
types of process models ranging from Petri nets, EPCs and Protos to
BPEL, BPMN, and YAWL. Much of the Petri-net related research being done
by the Eindhoven University of Technology finds its way into ProM. This
way, ProM both serves as a testbed for our research and as a platform to
share research. As examples of the latter, ProM 5.0 includes third-party
Petri-net-based tools from other research groups, which include Petrify
and Fiona.

Some plug-ins can extract different types of process models (or, for
example, organizational models) from event logs, transaction logs,
messaging systems, or databases. Unlike existing BI and BAM tools, ProM
supports true discovery, that is, models can be extracted without
a-priori modeling. New and powerful process discovery techniques have
been added in ProM 5.0, including=20
- semantic process mining techniques that use or discover ontologies,
and=20
- so-called fuzzy mining techniques that make it is possible to create
dynamic process maps that can animate processes as they really take
place.

Other plug-ins support the conversion and analysis of (extracted)
models. Examples include the conformance checker plug-in, which can
compare models with reality, and the performance analysis plug-in, which
can enhance existing models with bottleneck information. In Prom 5.0, it
is even possible to enhance an extracted process model into a complete
simulation which=20
- includes organizational aspects and case data aspects,=20
- can be used to recommend suitable actions to be taken by the user,
and
- can be directly loaded into CPN Tools.

ProM is platform independent as it is implemented in Java, and can be
downloaded free of charge. 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.

Useful links:
- Process mining in general: http://www.processmining.org/=20
- Download ProM: http://prom.sf.net/=20
- Release notes of ProM 5.0:
http://is.tm.tue.nl/trac/prom/wiki/ReleaseNotes_5_0=20
- CPN Tools: http://www.daimi.au.dk/cpntools/=20
- Petrify: http://www.lsi.upc.es/petrify/=20
- Fiona: http://www.informatik.hu-berlin.de/top/tools4bpel/fiona=20

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ProM 5.0: From =
Process Discovery to Process Analysis and Conversion

The process =
mining framework ProM provides a versatile and extendible plugable =
environment for process mining. ProM 5.0 offers almost 250 plug-ins =
proving a wide range of functionality, and supports different types of =
process models ranging from Petri nets, EPCs and Protos to BPEL, BPMN, =
and YAWL. Much of the Petri-net related research being done by =
the Eindhoven University of Technology finds its way into ProM. This =
way, ProM both serves as a testbed for our research and as a =
platform to =
share research. As examples of the latter, ProM 5.0 includes third-party =
Petri-net-based tools from other research groups, which include Petrify and =
Fiona.

Some plug-ins =
can extract different types of process models (or, for example, =
organizational models) from event logs, transaction logs, messaging =
systems, or databases. Unlike existing BI and BAM tools, ProM supports =
true discovery, that is, models can be extracted without a-priori =
modeling. New and powerful process discovery techniques have been added =
in ProM 5.0, including

 - =
semantic process mining techniques that use or discover ontologies, and =

 - =
so-called fuzzy mining techniques that make it is possible to create =
dynamic process maps that can animate processes as they really take =
place.

Other plug-ins =
support the conversion and analysis of (extracted) models. Examples =
include the conformance checker plug-in, which can compare models with =
reality, and the performance analysis plug-in, which can enhance =
existing models with bottleneck information. In Prom 5.0, it is even =
possible to enhance an extracted process model into a complete =
simulation which

 - =
includes organizational aspects and case data aspects, =

 - can be =
used to recommend suitable actions to be taken by the =
user, =
and

 - can be =
directly loaded into CPN Tools.

ProM is =
platform independent as it is implemented in Java, and can be downloaded =
free of charge. 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.

Useful =
links:

 - =
Process mining in general: http://www.processmining.org/ =

 - =
Download ProM: http://prom.sf.net/ =

 - =
Release notes of ProM 5.0: http://is.tm.tue.nl/trac/prom/wiki/ReleaseNotes_5_0