Fun-TSG: A Function-Driven Multivariate Time Series Generator with Variable-Level Anomaly Labeling

1. 1Implement Fun-TSG to generate multivariate time series data with variable-level anomaly labeling
2. 2Use the generated data to train and test anomaly detection models
3. 3Evaluate the performance of different anomaly detection methods using the generated data
4. 4Compare the results to existing benchmark datasets
5. 5Apply Fun-TSG to real-world datasets to improve anomaly detection capabilities

Data scientists and machine learning engineers working on anomaly detection tasks can benefit from this research to evaluate and compare their models more effectively

💡 Fun-TSG provides a function-driven approach to generate multivariate time series data with fine-grained anomaly annotations, enabling more effective evaluation and comparison of anomaly detection models

🚀 Improve anomaly detection with Fun-TSG! Generate multivariate time series data with variable-level anomaly labeling 📊💻