Simulation of "Triggering Proactive Business Process Adaptations via Online Reinforcement Learning" paper with proper steps and recreating the results
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Updated
Aug 31, 2021 - Python
Simulation of "Triggering Proactive Business Process Adaptations via Online Reinforcement Learning" paper with proper steps and recreating the results
A reproduction repository for MIMIC III ETL
Rasmus master thesis ~ LLM-based Process Constraints Generation with Context
A Telegram Bot for Process Mining tasks
A Process Mining software factory based on the “Machine Learning Ops” paradigm, targeting the problem of marine plastic detection
Implementation result of article : Trace Clustering based on Conserved Patterns: Towards Achieving Better Process Models
A stream-based process mining system written in Go. It collects events from various sources and traces the underlying discovered process models over time.
A published evaluation for data-aware conformance checking using an axiomatic approach
The implementation of the paper: "Explainable Artificial Intelligence for Improved Modeling of Processes".
Qilin.Cloud is the global technology platform for composable commerce.
An Implementation of the BIG-DGCNN Algorithm proposed by Chiorrini et al.
Process mining techniques for analyzing business processes and make them more efficient
Process mining for process exploration (commonly for CRM)
Rust4PM: Rust for Process Mining. See also the example applications at https://github.com/aarkue/rust4pm_demos.
Process Mining Group Project - Università della Calabria
Clustering a low-level event log of a process involves creating groups of related events based on their commonalities. In this case, the centrality score of a process's graph can be used to determine the similarity between events and to guide the clustering process.
这是一个模仿ARIS Process Mining(ARIS流程挖掘)的一个前端项目,用于学习其架构思路。
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