ishwarvenugopal / GCN-ProcessPrediction
A Deep Learning model for business process predictions. Preprint on arXiv: https://arxiv.org/abs/2102.07838
☆11Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for GCN-ProcessPrediction
- This is the complementary code repository for the BINet papers.☆23Updated 3 years ago
- Repository containing all implementations and experiments for the EDBN model.☆17Updated 3 years ago
- ☆101Updated 5 years ago
- https://arxiv.org/abs/2009.01561☆22Updated last year
- This repository generates process mining event log features. Most of the features have been extracted from several process mining scienti…☆12Updated 3 years ago
- Learning Accurate Generative Models of Business Processes With LSTM Neural Networks☆28Updated 7 months ago
- Transformer Network for Predictive Business Process Monitoring Tasks☆38Updated last month
- Explaining Anomalies Detected by Autoencoders Using SHAP☆40Updated 3 years ago
- ☆12Updated 3 years ago
- ☆18Updated last year
- Scripts related to predictive business process monitoring framework with structured and unstructured (textual) data.☆9Updated 6 years ago
- PROVED (PRocess mining OVer uncErtain Data) is a library of functionalities to perform process mining on uncertain event data.☆12Updated last year
- Comparative experimental evaluation of outcome-oriented predictive monitoring techniques on a benchmark consisting of 24 real-world datas…☆32Updated 3 years ago
- Code for the paper "LSTM Networks for Data-Aware Remaining Time Prediction of Business Process Instances"☆9Updated 6 years ago
- Multivariate recurrent GANs aimed at generating biomedical time-series. Methodology involves drawing symmetries to adversarial image gene…☆24Updated 3 months ago
- Anomaly detection in time-series networks. Spatio-temporal Anomaly Detection☆12Updated 4 years ago
- Intel Labs open source repository for time series anomaly detection evaluator☆42Updated 10 months ago
- ☆32Updated 5 years ago
- ☆12Updated 3 years ago
- Graph Embedding via Frequent Subgraphs☆44Updated 4 years ago
- ☆63Updated 3 years ago
- Business Process Encoding☆12Updated 4 months ago
- Unsupervised Deep Learning for Temporal Multi-Omics☆24Updated 5 years ago
- ☆11Updated 3 years ago
- We used generative adversarial networks (GANs) to do anomaly detection for time series data.☆144Updated 5 years ago
- Anomaly Detection for SWaT Dataset using Sequence-to-Sequence Neural Networks☆45Updated 5 years ago
- Python Implementation of Decay Replay Mining (DREAM)☆27Updated last year
- The stream-learn is an open-source Python library for difficult data stream analysis.☆62Updated 6 months ago
- ☆11Updated 3 years ago