Philipp Kranen

Affiliations:
  • RWTH Aachen University, Germany


According to our database1, Philipp Kranen authored at least 27 papers between 2008 and 2014.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2014
Inverse predictions on continuous models in scientific databases.
Proceedings of the Conference on Scientific and Statistical Database Management, 2014

Subspace anytime stream clustering.
Proceedings of the Conference on Scientific and Statistical Database Management, 2014

2012
An Index-Inspired Algorithm for Anytime Classification on Evolving Data Streams.
Datenbank-Spektrum, 2012

BT* - An Advanced Algorithm for Anytime Classification.
Proceedings of the Scientific and Statistical Database Management, 2012

Hinging Hyperplane Models for Multiple Predicted Variables.
Proceedings of the Scientific and Statistical Database Management, 2012

Stream Data Mining Using the MOA Framework.
Proceedings of the Database Systems for Advanced Applications, 2012

PA-Miner: Process Analysis Using Retrieval, Modeling, and Prediction.
Proceedings of the Database Systems for Advanced Applications, 2012

AnyOut: Anytime Outlier Detection on Streaming Data.
Proceedings of the Database Systems for Advanced Applications, 2012

A tool for automated evaluation of algorithms.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Anytime algorithms for stream data mining.
PhD thesis, 2011

The ClusTree: indexing micro-clusters for anytime stream mining.
Knowl. Inf. Syst., 2011

Hierarchical Clustering for Real-Time Stream Data with Noise.
Proceedings of the Scientific and Statistical Database Management, 2011

MOA: A Real-Time Analytics Open Source Framework.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Noise-aware Concise Clustering of Streaming Sensor Data in a Logarithmic Time.
Proceedings of the Report of the symposium "Lernen, 2011

An effective evaluation measure for clustering on evolving data streams.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2010
MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering.
Proceedings of the First Workshop on Applications of Pattern Analysis, 2010

MC-Tree: Improving Bayesian Anytime Classification.
Proceedings of the Scientific and Statistical Database Management, 2010

Bulk Loading Hierarchical Mixture Models for Efficient Stream Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Detecting outliers on arbitrary data streams using anytime approaches.
Proceedings of the First International Workshop on Novel Data Stream Pattern Mining Techniques, 2010

Clustering Performance on Evolving Data Streams: Assessing Algorithms and Evaluation Measures within MOA.
Proceedings of the ICDMW 2010, 2010

Air-Indexing on Error Prone Communication Channels.
Proceedings of the Database Systems for Advanced Applications, 2010

2009
Harnessing the strengths of anytime algorithms for constant data streams.
Data Min. Knowl. Discov., 2009

Using Index Structures for Anytime Stream Mining.
Proceedings of the VLDB 2009 PhD Workshop. Co-located with the 35th International Conference on Very Large Data Bases (VLDB 2009). Lyon, 2009

Self-Adaptive Anytime Stream Clustering.
Proceedings of the ICDM 2009, 2009

Indexing density models for incremental learning and anytime classification on data streams.
Proceedings of the EDBT 2009, 2009

2008
Efficient EMD-based similarity search in multimedia databases via flexible dimensionality reduction.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

Mobile Mining and Information Management in HealthNet Scenarios.
Proceedings of the 9th International Conference on Mobile Data Management (MDM 2008), 2008


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