IOLIN: Incremental On-line Information Network

This project is an implementation of the research paper "Real-time data mining of non-stationary data streams from sensor networks" by Cohen et al.

Project Structure

• /data: Contains raw and processed datasets.
• /src: Core source code for IN, OLIN, and IOLIN algorithms.
• /notebooks: Jupyter notebooks for data exploration and result visualization.
• /experiments: Scripts to run the full experiments and analysis.
• /results: Output files from experiments (metrics, logs, etc.).
• app.py: A Streamlit application to demonstrate the project.

Setup

1. Create a virtual environment: python -m venv venv source venv/bin/activate # On Windows use venv\Scripts\activate
2. Install dependencies: pip install -r requirements.txt

How to Run

1. Run the experiments: python experiments/run_olin_experiment.py python experiments/run_iolin_experiment.py
2. Analyze the results: python experiments/analyze_results.py
3. Launch the Streamlit GUI: streamlit run app.py