Efficient Time Series Analysis with Stumpy
Time series data is used globally across various domains, including finance, healthcare, and sensor networks. Identifying patterns and anomalies within this data is crucial for several tasks like anomaly detection, pattern discovery, and time series classification. However, traditional methods suffer from high computational complexity, making them impractical for extensive datasets. Stumpy was developed to efficiently … Read more