Mobile Mining and Information Management in HealthNet Scenarios. - Philipp Kranen; David Kensche; Saim Kim; Nadine Zimmermann; Emmanuel Müller; Christoph Quix; Xiang Li 002; Thomas Gries; Thomas Seidl 001; Matthias Jarke; Steffen Leonhardt (MDM, 2008)

Efficient EMD-based similarity search in multimedia databases via flexible dimensionality reduction. - Marc Wichterich; Ira Assent; Philipp Kranen; Thomas Seidl 001 (SIGMOD Conference, 2008)

Indexing density models for incremental learning and anytime classification on data streams. - Thomas Seidl 001; Ira Assent; Philipp Kranen; Ralph Krieger; Jennifer Herrmann (EDBT, 2009)

Self-Adaptive Anytime Stream Clustering. - Philipp Kranen; Ira Assent; Corinna Baldauf; Thomas Seidl 001 (ICDM, 2009)

Using Index Structures for Anytime Stream Mining. - Philipp Kranen; Thomas Seidl 001 (VLDB PhD Workshop, 2009)

Harnessing the strengths of anytime algorithms for constant data streams. - Philipp Kranen; Thomas Seidl 001 (Data Min. Knowl. Discov., 2009)

Air-Indexing on Error Prone Communication Channels. - Emmanuel Müller; Philipp Kranen; Michael Nett; Felix Reidl; Thomas Seidl 001 (DASFAA (1), 2010)

Clustering Performance on Evolving Data Streams: Assessing Algorithms and Evaluation Measures within MOA. - Philipp Kranen; Hardy Kremer; Timm Jansen; Thomas Seidl 001; Albert Bifet; Geoff Holmes 001; Bernhard Pfahringer (ICDM Workshops, 2010)

Detecting outliers on arbitrary data streams using anytime approaches. - Ira Assent; Philipp Kranen; Corinna Baldauf; Thomas Seidl 001 (StreamKDD@KDD, 2010)

Bulk Loading Hierarchical Mixture Models for Efficient Stream Classification. - Philipp Kranen; Ralph Krieger; Stefan Denker; Thomas Seidl 001 (PAKDD (2), 2010)

MC-Tree: Improving Bayesian Anytime Classification. - Philipp Kranen; Stephan Günnemann; Sergej Fries; Thomas Seidl 001 (SSDBM, 2010)

MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering. - Albert Bifet; Geoff Holmes 001; Bernhard Pfahringer; Philipp Kranen; Hardy Kremer; Timm Jansen; Thomas Seidl 001 (WAPA, 2010)

An effective evaluation measure for clustering on evolving data streams. - Hardy Kremer; Philipp Kranen; Timm Jansen; Thomas Seidl 001; Albert Bifet; Geoff Holmes 001; Bernhard Pfahringer (KDD, 2011)

Noise-aware Concise Clustering of Streaming Sensor Data in a Logarithmic Time. - Marwan Hassani; Philipp Kranen; Thomas Seidl 001 (LWA, 2011)

MOA: A Real-Time Analytics Open Source Framework. - Albert Bifet; Geoff Holmes 001; Bernhard Pfahringer; Jesse Read; Philipp Kranen; Hardy Kremer; Timm Jansen; Thomas Seidl 001 (ECML/PKDD (3), 2011)

Hierarchical Clustering for Real-Time Stream Data with Noise. - Philipp Kranen; Felix Reidl; Fernando Sánchez Villaamil; Thomas Seidl 001 (SSDBM, 2011)

The ClusTree: indexing micro-clusters for anytime stream mining. - Philipp Kranen; Ira Assent; Corinna Baldauf; Thomas Seidl 001 (Knowl. Inf. Syst., 2011)

Anytime algorithms for stream data mining. - Philipp Kranen (2011)

A tool for automated evaluation of algorithms. - Philipp Kranen; Stephan Wels; Tim Rohlfs; Sebastian Raubach; Thomas Seidl 001 (CIKM, 2012)

AnyOut: Anytime Outlier Detection on Streaming Data. - Ira Assent; Philipp Kranen; Corinna Baldauf; Thomas Seidl 001 (DASFAA (1), 2012)

PA-Miner: Process Analysis Using Retrieval, Modeling, and Prediction. - Anca Maria Ivanescu; Philipp Kranen; Manfred Smieschek; Philip Driessen; Thomas Seidl 001 (DASFAA (2), 2012)

Stream Data Mining Using the MOA Framework. - Philipp Kranen; Hardy Kremer; Timm Jansen; Thomas Seidl 001; Albert Bifet; Geoff Holmes 001; Bernhard Pfahringer; Jesse Read (DASFAA (2), 2012)

Hinging Hyperplane Models for Multiple Predicted Variables. - Anca Maria Ivanescu; Philipp Kranen; Thomas Seidl 001 (SSDBM, 2012)

BT* - An Advanced Algorithm for Anytime Classification. - Philipp Kranen; Marwan Hassani; Thomas Seidl 001 (SSDBM, 2012)

An Index-Inspired Algorithm for Anytime Classification on Evolving Data Streams. - Philipp Kranen; Ira Assent; Thomas Seidl 001 (Datenbank-Spektrum, 2012)

Subspace anytime stream clustering. - Marwan Hassani; Philipp Kranen; Rajveer Saini; Thomas Seidl 001 (SSDBM, 2014)

Inverse predictions on continuous models in scientific databases. - Anca Maria Zimmer; Philip Driessen; Philipp Kranen; Thomas Seidl 001 (SSDBM, 2014)