Hardy Kremer

发表

MCExplorer: Interactive Exploration of Multiple (Subspace) Clustering Solutions

Thomas Seidl, Stephan Günnemann, Ines Färber, 2010, 2010 IEEE International Conference on Data Mining Workshops.

KDD-SC: Subspace Clustering Extensions for Knowledge Discovery Frameworks pdf

Thomas Seidl, Stephan Günnemann, Hardy Kremer, 2014, ArXiv.

An Evaluation Framework for Temporal Subspace Clustering Approaches

Thomas Seidl, Stephan Günnemann, Hardy Kremer, 2013, 2013 IEEE 13th International Conference on Data Mining Workshops.

Anticipatory DTW for Efficient Similarity Search in Time Series Databases

Ira Assent, Ralph Krieger, Thomas Seidl, 2009, Proc. VLDB Endow..

Subspace Clustering for Uncertain Data

Thomas Seidl, Stephan Günnemann, Hardy Kremer, 2010, SDM.

Detecting Climate Change in Multivariate Time Series Data by Novel Clustering and Cluster Tracing Techniques

Thomas Seidl, Stephan Günnemann, Hardy Kremer, 2010, 2010 IEEE International Conference on Data Mining Workshops.

Pattern detector: fast detection of suspicious stream patterns for immediate reaction

Ira Assent, Thomas Seidl, Stephan Günnemann, 2010, EDBT '10.

High-Dimensional Indexing for Multimedia Features

Ira Assent, Thomas Seidl, Stephan Günnemann, 2009, BTW.

Tracing Evolving Subspace Clusters in Temporal Climate Data

Thomas Seidl, Stephan Günnemann, Hardy Kremer, 2011, Data Mining and Knowledge Discovery.

Mining of Temporal Coherent Subspace Clusters in Multivariate Time Series Databases

Thomas Seidl, Stephan Günnemann, Hardy Kremer, 2012, PAKDD.

MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering

Thomas Seidl, Geoff Holmes, Albert Bifet, 2010, WAPA.

Stream Data Mining Using the MOA Framework

Thomas Seidl, Geoff Holmes, Jesse Read, 2012, DASFAA.

An extension of the PMML standard to subspace clustering models

Thomas Seidl, Stephan Günnemann, Hardy Kremer, 2011, PMML '11.

Nesting the earth mover's distance for effective cluster tracing

Thomas Seidl, Stephan Günnemann, Hardy Kremer, 2013, SSDBM.

An effective evaluation measure for clustering on evolving data streams

Thomas Seidl, Geoff Holmes, Albert Bifet, 2011, KDD.

Subspace clustering for indexing high dimensional data: a main memory index based on local reductions and individual multi-representations

Thomas Seidl, Stephan Günnemann, Hardy Kremer, 2011, EDBT/ICDT '11.

Effective and Robust Mining of Temporal Subspace Clusters

Thomas Seidl, Stephan Günnemann, Hardy Kremer, 2012, 2012 IEEE 12th International Conference on Data Mining.

Speeding Up Complex Video Copy Detection Queries

Ira Assent, Thomas Seidl, Hardy Kremer, 2010, DASFAA.

Hardy Kremer, H. Kremer, 2013 .

Benchmarking Stream Clustering Algorithms within the MOA Framework

Thomas Seidl, Geoff Holmes, Albert Bifet, 2010 .

Efficient Processing of Multiple DTW Queries in Time Series Databases

Ira Assent, Thomas Seidl, Stephan Günnemann, 2011, SSDBM.

CoDA: Interactive Cluster Based Concept Discovery

Thomas Seidl, Stephan Günnemann, Ines Färber, 2010, Proc. VLDB Endow..

A Subspace Clustering Extension for the KNIME Data Mining Framework

Thomas Seidl, Stephan Günnemann, Hardy Kremer, 2012, 2012 IEEE 12th International Conference on Data Mining Workshops.

MOA: A Real-Time Analytics Open Source Framework

Thomas Seidl, Geoff Holmes, Jesse Read, 2011, ECML/PKDD.

Clustering Performance on Evolving Data Streams: Assessing Algorithms and Evaluation Measures within MOA

Thomas Seidl, Geoff Holmes, Albert Bifet, 2010, 2010 IEEE International Conference on Data Mining Workshops.

Tracing Evolving Clusters by Subspace and Value Similarity

Thomas Seidl, Stephan Günnemann, Hardy Kremer, 2011, PAKDD.

Robust Adaptable Video Copy Detection

Ira Assent, Hardy Kremer, 2009, SSTD.