Clustering is an important task in mining the evolving data streams. A lot of data streams are high dimensional

in nature. Clustering in the high dimensional data space is a complex problem, which is inherently more

complex for data...

Classifying non-stationary and imbalanced data streams encompasses two important challenges, namely

concept drift and class imbalance. Concept drift is changes in the underlying function being learnt, and class imbalance is vast difference...