Data stream classification and concept drift detection are essential components in the realm of real-time data analytics. As data streams continuously flow from sources such as sensors, financial ...

Abstract: Classifying instances in evolving data stream is a challenging task because of its properties, e.g., infinite length, concept drift, and concept evolution. Most of the currently available ...

Abstract: Data stream classification is widely used in Internet of Things (IoT) scenarios such as health monitoring, anomaly detection and online diagnosis. Due to the continuous data stream changing ...

This is a preview. Log in through your library . Abstract Documentation over a 28-year period of beaver (Castor canadensis) habitat use permitted development and testing of two models to predict ...