sintel-analysis

Replication files for Sintel.

S. Alnegheimish, D. Liu, C. Sala, L. Berti-Equille, and K. Veeramachaneni. "Sintel: A Machine Learning Framework to Extract Insights from Signals" SIGMOD 2022.

Usage

Experiments were made in python 3.7. To reproduce the analysis made, create a virtual environment and install required packages, then run the script directly. All results will be saved to ./output directory.

conda create --name sintel-env python=3.7
conda activate sintel-env
pip install -r requirements.txt
python analysis.py

Figures

To reproduce figures, refer to notebooks/analysis.ipynb.

Resources

Libraries in the Sintel ecosystem that were used in our analysis

• Anomaly detection in time series using Orion
• Time series classification using Draco
• Sintel API
• MTV visual analytics system