nirdizati-research / predict-pythonLinks
A Web Application to Support Research in Predictive Monitoring Tasks (docs: https://bit.ly/2XdXmth)
☆24Updated 4 years ago
Alternatives and similar repositories for predict-python
Users that are interested in predict-python are comparing it to the libraries listed below
Sorting:
- Comparative experimental evaluation of outcome-oriented predictive monitoring techniques on a benchmark consisting of 24 real-world datas…☆32Updated 4 years ago
- Benchmark evaluation for predictive monitoring of remaining cycle time of business processes☆14Updated 3 years ago
- Transformer Network for Predictive Business Process Monitoring Tasks☆42Updated 9 months ago
- https://arxiv.org/abs/2009.01561☆23Updated 2 years ago
- Scripts related to predictive business process monitoring framework with structured and unstructured (textual) data.☆8Updated 6 years ago
- ☆36Updated last month
- CLI tool for automated discovery of BPS models from event logs☆47Updated 2 weeks ago
- ☆105Updated 6 years ago
- Learning Accurate Generative Models of Business Processes With LSTM Neural Networks☆30Updated last year
- This is the complementary code repository for the BINet papers.☆27Updated 4 years ago
- Repository containing all implementations and experiments for the EDBN model.☆18Updated 3 years ago
- ☆11Updated 3 years ago
- Datasets for predictive monitoring of business processes.☆10Updated 4 years ago
- A collection of awesome resources for process mining☆148Updated last year
- Prescriptive business process monitoring for recommending next best actions (nba)☆30Updated 3 years ago
- Automatic process simulation using Simpy and Pm4py.☆18Updated 4 years ago
- ☆12Updated 4 years ago
- This repository generates process mining event log features. Most of the features have been extracted from several process mining scienti…☆12Updated 3 years ago
- Business Process Encoding☆12Updated 11 months ago
- ☆20Updated 3 years ago
- Multi view deep learning based approach for next activity prediction☆13Updated 2 years ago
- DeepAlign: Alignment-based Process Anomaly Correction Using Recurrent Neural Networks☆10Updated 2 years ago
- Code for the paper "LSTM Networks for Data-Aware Remaining Time Prediction of Business Process Instances"☆9Updated 7 years ago
- ☆11Updated 3 years ago
- PROVED (PRocess mining OVer uncErtain Data) is a library of functionalities to perform process mining on uncertain event data.☆12Updated 2 years ago
- Python Implementation of Decay Replay Mining (DREAM)☆27Updated 2 years ago
- This repository contains all research code I wrote in the context of BPM and Process Mining☆17Updated 6 years ago
- AutoML for clustering models in sklearn.☆61Updated 2 years ago
- A Deep Learning model for business process predictions. Preprint on arXiv: https://arxiv.org/abs/2102.07838☆11Updated 4 years ago
- Support to the OCEL standard☆9Updated 3 years ago