Browsing by Author "Seidl, Thomas"
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Clustering performance on evolving data streams: Assessing algorithms and evaluation measures within MOA Kranen, Philipp; Kremer, Hardy; Jensen, Timm; Seidl, Thomas; Bifet, Albert; Homes, Geoff; Pfahringer, Bernhard (IEEE Computer Society, 2010)In today's applications, evolving data streams are ubiquitous. Stream clustering algorithms were introduced to gain useful knowledge from these streams in real-time. The quality of the obtained clusterings, i.e. how good ...
MOA: Massive Online Analysis, a framework for stream classification and clustering. Bifet, Albert; Holmes, Geoffrey; Pfahringer, Bernhard; Kranen, Philipp; Kremer, Hardy; Jansen, Timm; Seidl, Thomas (JMLR, 2010)Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA is designed to deal with the challenging problem of scaling ...
Co-authors for Thomas Seidl
Thomas Seidl has 8 co-authors in Research Commons.