Machine learning around business processes
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Updated
Nov 16, 2022 - Java
Machine learning around business processes
A fast, two-steps algorithm for the automated discovery and management of declarative business process constraints
The Beamline streaming process mining framework
Decay Replay Mining to Predict Next Process Events
A Trie-based approach to efficiently compute alignment approximations
Discovers a case notion for an unlabeled event log using optional attributes and produces an XES-file that can be used for process mining.
A Flink library to implement both a buffer-based and a speculative out-of-order event arrival handlers for online process discovery
The LTL Checker, a ProM framework plug-in
ProM CLI plugin to compute the informativeness of traces wrt reference models
Apache Spark SQL based utility library for Process Mining in the Java language
Token-based conformance checking
MQTT-XES is a lightweight logging mechanism for real-time logging for process mining purposes
prom/StreamSocialNetworks
Meeting of Events and Evidence on the Map
Automated planning for alignment-based conformance checking - Mirror of the official SVN repository of the ProM package "PlanningBasedAlignment".
jBPM XES exporter
Repo holding scripts for interacting with ProM using CLI and testing the invoking of ProM from an external program.
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