Early Classification

Early Classification refers to the technique of predicting classification outcomes in time series data streams using only partial observations. Its objective is to minimize the required amount of data and computational resources while maintaining classification accuracy, thereby enhancing real-time performance and efficiency. Early Classification has significant application value in areas such as financial trading, medical diagnosis, and equipment maintenance, enabling rapid decision-making and early warnings, reducing latency costs, and improving system performance.