Towards online concept drift detection with feature selection for data stream classification

A proposed approach to discover nearest users on social media networks based on users' profiles and preferences

Using Socio-Demographic Information in Predicting Students' Degree Completion based on a Dynamic Model

The Waikato open source frameworks (WEKA and MOA) for machine learning techniques

Real-time pre-processing technique for drift detection, feature tracking, and feature selection using adaptive micro-clusters for data stream classification

Real-time feature selection technique with concept drift detection using adaptive micro-clusters for data stream mining