https://github.com/cescedes/approximate-inductive-miner
Attempt to replicate the implementation of AIM method described in the research paper: Jan Niklas van Detten, Pol Schumacher, Sander J. J. Leemans: An Approximate Inductive Miner. ICPM 2023: 129-136 / UW 2024W BI
https://github.com/cescedes/approximate-inductive-miner
business-intelligence clustering inductive-miner pm4py process-mining python sklearn
Last synced: 11 months ago
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Attempt to replicate the implementation of AIM method described in the research paper: Jan Niklas van Detten, Pol Schumacher, Sander J. J. Leemans: An Approximate Inductive Miner. ICPM 2023: 129-136 / UW 2024W BI
- Host: GitHub
- URL: https://github.com/cescedes/approximate-inductive-miner
- Owner: cescedes
- License: mit
- Created: 2025-01-10T23:26:19.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-24T03:37:55.000Z (over 1 year ago)
- Last Synced: 2025-03-20T15:14:05.398Z (about 1 year ago)
- Topics: business-intelligence, clustering, inductive-miner, pm4py, process-mining, python, sklearn
- Language: Jupyter Notebook
- Homepage:
- Size: 13.7 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0