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Philipp Kranen
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- affiliation: RWTH Aachen University, Germany
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2010 – 2019
- 2014
- [c24]Anca Maria Zimmer, Philip Driessen, Philipp Kranen, Thomas Seidl:
Inverse predictions on continuous models in scientific databases. SSDBM 2014: 26:1-26:12 - [c23]Marwan Hassani, Philipp Kranen, Rajveer Saini, Thomas Seidl:
Subspace anytime stream clustering. SSDBM 2014: 37:1-37:4 - 2012
- [j3]Philipp Kranen, Ira Assent, Thomas Seidl:
An Index-Inspired Algorithm for Anytime Classification on Evolving Data Streams. Datenbank-Spektrum 12(1): 43-50 (2012) - [c22]Philipp Kranen, Stephan Wels, Tim Rohlfs, Sebastian Raubach, Thomas Seidl:
A tool for automated evaluation of algorithms. CIKM 2012: 2692-2694 - [c21]Ira Assent, Philipp Kranen, Corinna Baldauf, Thomas Seidl:
AnyOut: Anytime Outlier Detection on Streaming Data. DASFAA (1) 2012: 228-242 - [c20]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 - [c19]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 - [c18]Philipp Kranen, Marwan Hassani, Thomas Seidl:
BT* - An Advanced Algorithm for Anytime Classification. SSDBM 2012: 298-315 - [c17]Anca Maria Ivanescu, Philipp Kranen, Thomas Seidl:
Hinging Hyperplane Models for Multiple Predicted Variables. SSDBM 2012: 431-448 - 2011
- [b1]Philipp Kranen:
Anytime algorithms for stream data mining. RWTH Aachen University, 2011 - [j2]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) - [c16]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 - [c15]Marwan Hassani, Philipp Kranen, Thomas Seidl:
Noise-aware Concise Clustering of Streaming Sensor Data in a Logarithmic Time. LWA 2011: 97-105 - [c14]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 - [c13]Philipp Kranen, Felix Reidl, Fernando Sánchez Villaamil, Thomas Seidl:
Hierarchical Clustering for Real-Time Stream Data with Noise. SSDBM 2011: 405-413 - 2010
- [c12]Emmanuel Müller, Philipp Kranen, Michael Nett, Felix Reidl, Thomas Seidl:
Air-Indexing on Error Prone Communication Channels. DASFAA (1) 2010: 505-519 - [c11]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 - [c10]Ira Assent, Philipp Kranen, Corinna Baldauf, Thomas Seidl:
Detecting outliers on arbitrary data streams using anytime approaches. StreamKDD@KDD 2010: 10-15 - [c9]Philipp Kranen, Ralph Krieger, Stefan Denker, Thomas Seidl:
Bulk Loading Hierarchical Mixture Models for Efficient Stream Classification. PAKDD (2) 2010: 325-334 - [c8]Philipp Kranen, Stephan Günnemann, Sergej Fries, Thomas Seidl:
MC-Tree: Improving Bayesian Anytime Classification. SSDBM 2010: 252-269 - [c7]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. WAPA 2010: 44-50
2000 – 2009
- 2009
- [j1]Philipp Kranen, Thomas Seidl:
Harnessing the strengths of anytime algorithms for constant data streams. Data Min. Knowl. Discov. 19(2): 245-260 (2009) - [c6]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 - [c5]Philipp Kranen, Ira Assent, Corinna Baldauf, Thomas Seidl:
Self-Adaptive Anytime Stream Clustering. ICDM 2009: 249-258 - [c4]Philipp Kranen, Thomas Seidl:
Harnessing the Strengths of Anytime Algorithms for Constant Data Streams. ECML/PKDD (1) 2009: 31 - [c3]Philipp Kranen, Thomas Seidl:
Using Index Structures for Anytime Stream Mining. VLDB PhD Workshop 2009 - 2008
- [c2]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 - [c1]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
Coauthor Index
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