ProM

Framework for Process Mining and the leading process mining toolkit.
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ProM Ranking & Summary

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  • Rating:
  • License:
  • Freeware
  • Price:
  • FREE
  • Publisher Name:
  • Christian Gunther
  • Publisher web site:
  • http://is.tm.tue.nl/~cgunther/dev/prom/
  • Operating Systems:
  • Mac OS X 10.1 or later
  • File Size:
  • 35.3 MB

ProM Tags


ProM Description

Framework for Process Mining and the leading process mining toolkit. ProM is a powerful and 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. 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 150 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)· YAWLThere are mining plugins, such as:· Plugins supporting control-flow mining techniques (such as the Alpha algorithm, Genetic mining, Multi-phase mining, ...)· Plugins analysing the organizational perspective (such as the Social Network miner, the Staff Assignment miner, ...)· Plugins dealing with the data perspective (such as the Decision miner, ...)· Plugins for mining less-structured, flexible processes (such as the Fuzzy Miner)· Elaborate data visualization plugins (such as the Cloud Chamber Miner)Furthermore, there are analysis plugins 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.Process mining techniques allow for extracting information from event logs. For example, the audit trails of a workflow management system or the transaction logs of an enterprise resource planning system can be used to discover models describing processes, organizations, and products. Moreover, it is possible to use process mining to monitor deviations (e.g., comparing the observed events with predefined models or business rules in the context of SOX).Process mining is closely related to BAM (Business Activity Monitoring), BOM (Business Operations Management), BPI (Business Process Intelligence), and data/workflow mining. Unlike classical data mining techniques the focus is on questions and processes that transcend the simple performance-related queries supported by tools such as Cognos BI, Business Objects and Hyperion. What's New in This Release: · FSM Miner mines an accept finite state machine from a log, based on a number of settings which control When two states are considered to be equal. Furthermore, some optional conversions allow to simplify the state machine in a post-processing step. · Parikh Language-based Region miner uses the theory of regions for mining, without building an intermediate transition system, i.e. region theory is used directly onto the log, assuming that the log is a natural language. · Fuzzy miner empowers users to interactively explore processes from event logs. Most notably, the Fuzzy Miner is suitable for mining less-structured processes which exhibit a large amount of unstructured and conflicting behavior. · Cloud chamber miner uses the dotplot visual metaphor, known from the bio-informatics domain, to visually highlight repetitive patterns in process event logs. · Semantic Organizational Miner uses the semantic information in the log to mine groups of users based on task similarity. This plug-in has been implemented in the context of the SUPER European Integrated project. The SUPER deliverables D5.2 and D6.5 provide more details about this semantic mining plug-in. · Role Hierarchy Miner uses the information about which originators have executed which tasks to identify who are the specialist/generalist for a given process. The mined taxonomy can be exported as a WSML ontology with concepts, is-relationships and instances. This plug-in has been implemented in the context of the SUPER European Integrated project. · Language-based Region miner.


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