Hardy Kremer

MOA: Massive Online Analysis, a framework for stream classification and clustering.

Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer et al. · RWTH Publications (RWTH Aachen) · 2010 · 215 citations · Full text

An effective evaluation measure for clustering on evolving data streams

Hardy Kremer, Philipp Kranen, Timm Jansen et al. · 2011 · 98 citations

Cluster Computing, Engineering, Streaming Algorithm +19

Anticipatory DTW for efficient similarity search in time series databases

Ira Assent, Marc Wichterich, Ralph Krieger et al. · Proceedings of the VLDB Endowment · 2009 · 68 citations

Engineering, Machine Learning, Similarity Measure +19

Subspace Clustering for Uncertain Data

Stephan Günnemann, Hardy Kremer, Thomas Seidl · 2010 · 35 citations

Clustering Performance on Evolving Data Streams: Assessing Algorithms and Evaluation Measures within MOA

Philipp Kranen, Hardy Kremer, Timm Jansen et al. · 2010 · 22 citations

Cluster Computing, Engineering, Gnu Gpl License +20