Philipp Kranen

Philipp Kranen, Ira Assent, Thomas Seidl: An Index-Inspired Algorithm for Anytime Classification on Evolving Data Streams. Datenbank-Spektrum 12(1): 43-50 (2012)

Philipp Kranen, Stephan Wels, Tim Rohlfs, Sebastian Raubach, Thomas Seidl: A tool for automated evaluation of algorithms. CIKM 2012: 2692-2694

Ira Assent, Philipp Kranen, Corinna Baldauf, Thomas Seidl: AnyOut: Anytime Outlier Detection on Streaming Data. DASFAA (1) 2012: 228-242

Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Jesse Read: Stream Data Mining Using the MOA Framework. DASFAA (2) 2012: 309-313

Anca Maria Ivanescu, Philipp Kranen, Manfred Smieschek, Philip Driessen, Thomas Seidl: PA-Miner: Process Analysis Using Retrieval, Modeling, and Prediction. DASFAA (2) 2012: 319-322

Philipp Kranen, Marwan Hassani, Thomas Seidl: BT* - An Advanced Algorithm for Anytime Classification. SSDBM 2012: 298-315

Anca Maria Ivanescu, Philipp Kranen, Thomas Seidl: Hinging Hyperplane Models for Multiple Predicted Variables. SSDBM 2012: 431-448

Philipp Kranen, Ira Assent, Corinna Baldauf, Thomas Seidl: The ClusTree: indexing micro-clusters for anytime stream mining. Knowl. Inf. Syst. 29(2): 249-272 (2011)

Hardy Kremer, Philipp Kranen, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer: An effective evaluation measure for clustering on evolving data streams. KDD 2011: 868-876

Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Jesse Read, Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl: MOA: A Real-Time Analytics Open Source Framework. ECML/PKDD (3) 2011: 617-620

Philipp Kranen, Felix Reidl, Fernando Sanchez Villaamil, Thomas Seidl: Hierarchical Clustering for Real-Time Stream Data with Noise. SSDBM 2011: 405-413

Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl: MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering. Journal of Machine Learning Research - Proceedings Track 11: 44-50 (2010)

Emmanuel Müller, Philipp Kranen, Michael Nett, Felix Reidl, Thomas Seidl: Air-Indexing on Error Prone Communication Channels. DASFAA (1) 2010: 505-519

Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer: Clustering Performance on Evolving Data Streams: Assessing Algorithms and Evaluation Measures within MOA. ICDM Workshops 2010: 1400-1403

Philipp Kranen, Ralph Krieger, Stefan Denker, Thomas Seidl: Bulk Loading Hierarchical Mixture Models for Efficient Stream Classification. PAKDD (2) 2010: 325-334

Philipp Kranen, Stephan Günnemann, Sergej Fries, Thomas Seidl: MC-Tree: Improving Bayesian Anytime Classification. SSDBM 2010: 252-269

Philipp Kranen, Thomas Seidl: Harnessing the strengths of anytime algorithms for constant data streams. Data Min. Knowl. Discov. 19(2): 245-260 (2009)

Thomas Seidl, Ira Assent, Philipp Kranen, Ralph Krieger, Jennifer Herrmann: Indexing density models for incremental learning and anytime classification on data streams. EDBT 2009: 311-322

Philipp Kranen, Ira Assent, Corinna Baldauf, Thomas Seidl: Self-Adaptive Anytime Stream Clustering. ICDM 2009: 249-258

Philipp Kranen, Thomas Seidl: Harnessing the Strengths of Anytime Algorithms for Constant Data Streams. ECML/PKDD (1) 2009: 31

Philipp Kranen, Thomas Seidl: Using Index Structures for Anytime Stream Mining. VLDB PhD Workshop 2009

Philipp Kranen, David Kensche, Saim Kim, Nadine Zimmermann, Emmanuel Müller, Christoph Quix, Xiang Li, Thomas Gries, Thomas Seidl, Matthias Jarke, Steffen Leonhardt: Mobile Mining and Information Management in HealthNet Scenarios. MDM 2008: 215-216

Marc Wichterich, Ira Assent, Philipp Kranen, Thomas Seidl: Efficient EMD-based similarity search in multimedia databases via flexible dimensionality reduction. SIGMOD Conference 2008: 199-212