Claudia Plant

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

A Distance Metric for Sets of Events.

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[DOI]

Raphael Sahann

Torsten Möller

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

RandomLink - Avoiding Linkage-Effects by Employing Random Effects for Clustering.

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[DOI]

Gert Sluiter

Proceedings of the Database and Expert Systems Applications, 2020

Improved Data Locality Using Morton-order Curve on the Example of LU Decomposition.

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[DOI]

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Massively Parallel Graph Drawing and Representation Learning.

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[DOI]

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Massively Parallel Random Number Generation.

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[DOI]

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Deep Embedded Non-Redundant Clustering.

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[DOI]

Lukas Miklautz

Dominik Mautz

Muzaffer Can Altinigneli

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Synchronization-based clustering on evolving data stream.

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[DOI]

Inf. Sci., 2019

Cache-oblivious High-performance Similarity Join.

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[DOI]

Proceedings of the 2019 International Conference on Management of Data, 2019

Clustering of Mixed-Type Data Considering Concept Hierarchies.

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[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Granger Causality for Heterogeneous Processes.

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[DOI]

Katerina Hlavácková-Schindler

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Deep Embedded Cluster Tree.

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[DOI]

Dominik Mautz

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Planting Synchronisation Trees for Discovering Interaction Patterns Among Brain Regions.

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[DOI]

Lena Greta Marie Bauer

Philipp Grohs

Afra M. Wohlschläger

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

ITGC: Information-theoretic grid-based clustering.

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[DOI]

Hermann Hinterhauser

Proceedings of the Advances in Database Technology, 2019

Similarity hashing for charged particle tracking.

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[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Network Structure and Transfer Behaviors Embedding via Deep Prediction Model.

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Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

High-Dimensional Indexing.

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[DOI]

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Transferring deep knowledge for object recognition in Low-quality underwater videos.

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[DOI]

Neurocomputing, 2018

Discovering Non-Redundant K-means Clusterings in Optimal Subspaces.

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[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

DipTransformation: Enhancing the Structure of a Dataset and Thereby Improving Clustering.

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[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

Automatic Detection of Warped Patterns in Time Series: The Caterpillar Algorithm.

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[DOI]

Maximilian Leodolter

Norbert Brändle

Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

Fast Approximate Hubness Reduction for Large High-Dimensional Data.

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[DOI]

Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

Parameter Free Mixed-Type Density-Based Clustering.

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[DOI]

Mahmoud Abdelmottaleb Ibrahim

Proceedings of the Database and Expert Systems Applications, 2018

KMN - Removing Noise from K-Means Clustering Results.

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[DOI]

Proceedings of the Big Data Analytics and Knowledge Discovery, 2018

2017

Synchronization-based scalable subspace clustering of high-dimensional data.

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[DOI]

Knowl. Inf. Syst., 2017

Multi-core K-means.

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[DOI]

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Attributed Graph Clustering with Unimodal Normalized Cut.

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Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Information-Theoretic Non-redundant Subspace Clustering.

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[DOI]

Nina C. Hubig

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Semi-supervised segmentation of accelerometer time series for transport mode classification.

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[DOI]

Proceedings of the 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, 2017

Learning from Labeled and Unlabeled Vertices in Networks.

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[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Towards an Optimal Subspace for K-Means.

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[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Let's See Your Digits: Anomalous-State Detection using Benford's Law.

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[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Dependency Anomaly Detection for Heterogeneous Time Series: A Granger-Lasso Approach.

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[DOI]

Katerina Hlavácková-Schindler

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Joint Gaussian Based Measures for Multiple-Instance Learning.

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[DOI]

Linfei Zhou

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Novel Indexing Strategy and Similarity Measures for Gaussian Mixture Models.

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[DOI]

Linfei Zhou

Wei Ye

Proceedings of the Database and Expert Systems Applications, 2017

Indexing Multiple-Instance Objects.

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[DOI]

Proceedings of the Database and Expert Systems Applications, 2017

Knowledge Discovery of Complex Data Using Gaussian Mixture Models.

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Proceedings of the Big Data Analytics and Knowledge Discovery, 2017

2016

Clustering techniques for neuroimaging applications.

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[DOI]

Alexandra Derntl

WIREs Data Mining Knowl. Discov., 2016

Ternary Matrix Factorization: problem definitions and algorithms.

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[DOI]

Knowl. Inf. Syst., 2016

FUSE: Full Spectral Clustering.

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[DOI]

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Skinny-dip: Clustering in a Sea of Noise.

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Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Covariate-Related Structure Extraction from Paired Data.

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[DOI]

Proceedings of the Information Technology in Bio- and Medical Informatics, 2016

Gaussian Component Based Index for GMMs.

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[DOI]

Linfei Zhou

Frank Fiedler

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Generalized Independent Subspace Clustering.

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[DOI]

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Clustering with the Levy Walk: "Hunting" for Clusters.

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Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Subspace Clustering Ensembles through Tensor Decomposition.

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[DOI]

Dominik Mautz

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Factorizing Complex Discrete Data "with Finesse".

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[DOI]

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

MeGS: Partitioning Meaningful Subgraph Structures Using Minimum Description Length.

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Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Cache-oblivious loops based on a novel space-filling curve.

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Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Anytime density-based clustering of complex data.

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[DOI]

Knowl. Inf. Syst., 2015

Stroke Lesion Segmentation Using a Probabilistic Atlas of Cerebral Vascular Territories.

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Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015

Mining Massive Vector Data on Single Instruction Multiple Data Microarchitectures.

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Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014

Mining Interaction Patterns among Brain Regions by Clustering.

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[DOI]

IEEE Trans. Knowl. Data Eng., 2014

Advanced Computer Vision Approaches in Biomedical Image Analysis.

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[DOI]

Anke Meyer-Baese

Juan Manuel Górriz Sáez

Comput. Math. Methods Medicine, 2014

Intrinsic Brain Activity of Cognitively Normal Older Persons Resembles More That of Patients Both with and at Risk for Alzheimer's Disease Than That of Healthy Younger Persons.

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Brain Connect., 2014

Relevant overlapping subspace clusters on categorical data.

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Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Centroid Clustering of Cellular Lineage Trees.

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[DOI]

Valeriy Khakhutskyy

Michael Schwarzfischer

Proceedings of the Information Technology in Bio- and Medical Informatics, 2014

Segmentation and Kinetic Analysis of Breast Lesions in DCE-MR Imaging Using ICA.

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[DOI]

Proceedings of the Information Technology in Bio- and Medical Informatics, 2014

Mining Medical Data to Obtain Fuzzy Predicates.

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[DOI]

Taymi Ceruto Cordovés

Proceedings of the Information Technology in Bio- and Medical Informatics, 2014

Metric Factorization for Exploratory Analysis of Complex Data.

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[DOI]

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Ternary Matrix Factorization.

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[DOI]

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Finding the Optimal Subspace for Clustering.

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[DOI]

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Identification of SNP interactions using data-parallel primitives on GPUs.

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[DOI]

Muzaffer Can Altinigneli

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013

Synchronization-Inspired Partitioning and Hierarchical Clustering.

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[DOI]

IEEE Trans. Knowl. Data Eng., 2013

Computer-aided diagnosis for diagnostically challenging breast lesions in DCE-MRI based on image registration and integration of morphologic and dynamic characteristics.

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[DOI]

EURASIP J. Adv. Signal Process., 2013

Robust Synchronization-Based Graph Clustering.

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[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Massively parallel expectation maximization using graphics processing units.

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[DOI]

Muzaffer Can Altinigneli

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Active Density-Based Clustering.

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[DOI]

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Compression-Based Graph Mining Exploiting Structure Primitives.

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[DOI]

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012

Multi-label classification models for sustainable flood retention basins.

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[DOI]

Environ. Model. Softw., 2012

Selection of Spatiotemporal Features in Breast MRI to Differentiate between Malignant and Benign Small Lesions Using Computer-Aided Diagnosis.

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[DOI]

Adv. Artif. Neural Syst., 2012

Measuring Non-Gaussianity by Phi-Transformed and Fuzzy Histograms.

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[DOI]

Adv. Artif. Neural Syst., 2012

Combining DTI and MRI for the Automated Detection of Alzheimer's Disease Using a Large European Multicenter Dataset.

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[DOI]

Proceedings of the Multimodal Brain Image Analysis - Second International Workshop, 2012

Dependency clustering across measurement scales.

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[DOI]

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Summarization-based mining bipartite graphs.

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[DOI]

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

A Similarity Model and Segmentation Algorithm for White Matter Fiber Tracts.

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[DOI]

Son T. Mai

Sebastian Goebl

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2011

SONAR: Signal De-mixing for Robust Correlation Clustering.

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[DOI]

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Weighted Graph Compression for Parameter-free Clustering With PaCCo.

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[DOI]

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

INCONCO: interpretable clustering of numerical and categorical objects.

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[DOI]

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Detection of Arbitrarily Oriented Synchronized Clusters in High-Dimensional Data.

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[DOI]

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Automatically Spotting Information-Rich Nodes in Graphs.

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[DOI]

Xiao He

Jing Feng

Proceedings of the Data Mining Workshops (ICDMW), 2011

2010

Automated detection of brain atrophy patterns based on MRI for the prediction of Alzheimer's disease.

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[DOI]

Janaina Mourão Miranda

Arun L. W. Bokde

Harald Hampel

Michael Ewers

NeuroImage, 2010

Hierarchical Density-Based Clustering of White Matter Tracts in the Human Brain.

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[DOI]

Int. J. Knowl. Discov. Bioinform., 2010

Synchronization Based Outlier Detection.

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[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

ITCH: Information-Theoretic Cluster Hierarchies.

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[DOI]

Peter Wackersreuther

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

SkyDist: Data Mining on Skyline Objects.

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[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Integrative Parameter-Free Clustering of Data with Mixed Type Attributes.

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[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Clustering by synchronization.

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[DOI]

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Combining Time Series Similarity with Density-Based Clustering to Identify Fiber Bundles in the Human Brain.

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[DOI]

Proceedings of the ICDMW 2010, 2010

Parallel EM-Clustering: Fast Convergence by Asynchronous Model Updates.

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[DOI]

Proceedings of the ICDMW 2010, 2010

Robust Second-Order Source Separation Identifies Experimental Responses in Biomedical Imaging.

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[DOI]

Proceedings of the Latent Variable Analysis and Signal Separation, 2010

Information-Theoretic Model Selection for Independent Components.

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[DOI]

Proceedings of the Latent Variable Analysis and Signal Separation, 2010

Robust Stability Analysis of Multi-Time Scale Genetic Regulatory Networks under Parametric Uncertainties.

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Proceedings of the International Conference on Bioinformatics & Computational Biology, 2010

2009

High Dimensional Indexing.

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[DOI]

Proceedings of the Encyclopedia of Database Systems, 2009

Data Mining Using Graphics Processing Units.

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[DOI]

Robert Noll

Andrew Zherdin

Trans. Large Scale Data Knowl. Centered Syst., 2009

CoCo: coding cost for parameter-free outlier detection.

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[DOI]

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Interaction-Based Clustering of Multivariate Time Series.

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[DOI]

Afra M. Wohlschläger

Andrew Zherdin

Proceedings of the ICDM 2009, 2009

Density-based clustering using graphics processors.

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[DOI]

Robert Noll

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Probabilistic skyline queries.

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[DOI]

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Indexsupported Similarity Join on Graphics Processors.

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[DOI]

Proceedings of the Datenbanksysteme in Business, 2009

Model-based Classification of Data with Time Series-valued Attributes.

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[DOI]

Proceedings of the Datenbanksysteme in Business, 2009

2008

Outlier-robust clustering using independent components.

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[DOI]

Christos Faloutsos

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

HISSCLU: a hierarchical density-based method for semi-supervised clustering.

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[DOI]

Proceedings of the EDBT 2008, 2008

2007

RIC: Parameter-free noise-robust clustering.

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[DOI]

ACM Trans. Knowl. Discov. Data, 2007

Efficiently Processing Continuous k-NN Queries on Data Streams.

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[DOI]

Proceedings of the 23rd International Conference on Data Engineering, 2007

Data Mining Algorithmen zur Wissensgewinnung aus komplexen biologischen und medizinischen Datensätzen.

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[DOI]

Proceedings of the Ausgezeichnete Informatikdissertationen 2007, 2007

2006

Enhancing instance-based classification with local density: a new algorithm for classifying unbalanced biomedical data.

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[DOI]

Bernhard Tilg

Christian Baumgartner

Bioinform., 2006

Robust information-theoretic clustering.

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[DOI]

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Feature Selection on High Throughput SELDI-TOF Mass-Spectrometry Data for Identifying Biomarker Candidates in Ovarian and Prostate Cancer.

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[DOI]

Melanie Osl

Bernhard Tilg

Christian Baumgartner

Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Knowledge extraction and data mining algorithms for complex biomedical data.

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