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Finding and tracking multi-density clusters in an online dynamic data stream
(IEEE Press, 2019-05)
Change is one of the biggest challenges in dynamic stream mining. From a data-mining perspective, adapting and tracking change is desirable in order to understand how and why change has occurred. Clustering, a form of ...
Dynamic feature selection for clustering high dimensional data streams
(IEEE Press, 2019-07-31)
Change in a data stream can occur at the concept level and at the feature level. Change at the feature level can occur if new, additional features appear in the stream or if the importance and relevance of a feature changes ...