"A hybrid deep learning classifier and Optimized Key Windowing approach" by Dharani Kumar Talapula, Adarsh Kumar et al.
The generation of huge data with high velocity creates alteration in the distribution of the stream data, which is defined as the concept of drifts. The concept drifts negatively influence the classification accuracy and the stability of the data streams. Numerous machine learning-based models are developed to detect the concept drift in machine learning techniques. Yet, these models are inadequate for real-time applications due to time and memory constraints. Hence, this research devises dynami...
Recurrent Neural Networks Optimized Key Windowing Cloud Monitoring Data Stream Deep Learning Drift Detection
Source: uow.edu.au