Machine learning around business processes

A fast, two-step algorithm for the automated discovery of, and reasoning on, declarative rules of process and system behaviour

The Beamline streaming process mining framework

Process mining for non-interactive usage

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.

Split Miner by Augusto et al.

Code implementing an estimation framework and evaluation test scaffold for Stochastic Process Discovery, as described in "Burke, A, Leemans, S.J.J and Wynn, M. T. - Stochastic Process Discovery By Weight Estimation"

The LTL Checker, a ProM framework plug-in

A Flink library to implement both a buffer-based and a speculative out-of-order event arrival handlers for online process discovery

Dimensions for Stochastic Process Models

Process mining for non-interactive usage

Implementation of Probabilistic Process Trees

MQTT-XES is a lightweight logging mechanism for real-time logging for process mining purposes

ProM CLI plugin to compute the informativeness of traces wrt reference models

prom/StreamSocialNetworks

Apache Spark SQL based utility library for Process Mining in the Java language

Token-based conformance checking

Meeting of Events and Evidence on the Map