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教育人博客页面数据载入,请耐心等待
   
 
 
ProM 4.2 - new release of the leading process mini
[ 2007-9-24 18:04:00 | By: Byron ]
 
We are happy to announce the new 4.2 release of the ProM framework, an
extensible framework that supports a wide variety of process mining
techniques in the form of plug-ins. ProM is platform independent as it is
implemented in Java, and can be downloaded free of charge through
http://prom.sourceforge.net/.

Staying in touch with ProM is easy. Simply join the ProM-users mailing
list, see http://listserver.tue.nl/prom-users, and we'll keep you
informed. 

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 (See http://www.processmining.org/ for more in-depth
information and available scientific publications).

Highlights of the new 4.2 release:

* Extensive control-flow mining and model support
* Petri net mining, transformation and analysis
* State of the art visualization techniques
* Analysis and mining of less-structured data
* Improved log analysis and filtering
* Quicker access to all plug-in functionalities
* Advanced window management
* The power of more than 190 mining, analysis and conversion plug-ins!

Currently, there are already more than 190 plug-ins available, and we
support the import of (and the conversion between) several process
modelling languages, such as:

* Petri nets (PNML, TPN)
* EPCs / EPKs (Aris graph format, EPML)
* YAWL
* BPEL
* (and many more)

There are mining plug-ins, such as:

* Plug-ins supporting control-flow mining techniques (such as the
Alpha algorithm, Genetic mining, Multi-phase mining, ...)
* Plug-ins analyzing the organizational perspective (such as the
Social Network miner, the Staff Assignment miner, ...)
* Plug-ins dealing with the data perspective (such as the Decision
miner, ...)
* Plug-ins for mining less-structured, flexible processes (such as the
Fuzzy Miner)
* Elaborate data visualization plug-ins (such as the Cloud Chamber
Miner)
* (and many more)

Furthermore, there are analysis plug-ins dealing with:

* The verification of process models (e.g., Woflan analysis)
* Verification of Linear Temporal Logic (LTL) formulas on a log
* Checking the conformance between a given process model and a log
* Performance analysis (Basic statistical analysis, and Performance
Analysis with a given process model)

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