MLIDSC: A self-adaptive online active learning framework for multiclass imbalanced data stream with concept drift
The MLIDSC introduces an automated labeling mechanism that eliminates the need for prior parameter assumptions and uses a novel weighted scheme that combines the imbalance ratio and the importance of individual instances at a given time, ensuring a focus on critical data points.