Python Process Mining suite (dirty alpha implementation)
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Updated
Nov 21, 2013 - Python
Python Process Mining suite (dirty alpha implementation)
(🔬) This code lab can connect with various databases and load multidimensional event logs in which the characteristics of the process-instance are modeled as dimensions in a data warehouse-like schema.
Bachelor Thesis by Jihoon Yang at PADS chair of RWTH Aachen University
Implementation result of article : Trace Clustering based on Conserved Patterns: Towards Achieving Better Process Models
AdVersarial system vAriant AppRoximation
A platform to simulate agent interactions with IoT devices to facilitate process mining algorithm research.
A Telegram Bot for Process Mining tasks
Simulation of "Triggering Proactive Business Process Adaptations via Online Reinforcement Learning" paper with proper steps and recreating the results
With the help of our tool, logs should be automatically analyzed and presented on a web page. The analysis should then be exported as a PDF.
This repository generates process mining event log features. Most of the features have been extracted from several process mining scientific papers. Please feel free to use these features in your process mining projects and contribute to the project, if you develop new ideas :)
Decay Replay Mining to Predict Next Process Events
A reproduction repository for MIMIC III ETL
ETL for the creation of event logs, based on raw data from the moodle logs, as part of the project Hype13 and the paper "Process Mining Model, to visualize and Analyze the Learning Process"
This repository collects the files related to the Master Thesis for my MSc in Management Engineering (2020, Politecnico di Torino)
A stream-based process mining system written in Go. It collects events from various sources and traces the underlying discovered process models over time.
Process mining techniques for analyzing business processes and make them more efficient
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