Christian Böhm

发表

Supervised machine learning techniques for the classification of metabolic disorders in newborns

Christian Böhm, Christian Baumgartner, Daniela Baumgartner, 2004, Bioinform..

Mining Hierarchies of Correlation Clusters

Elke Achtert, Christian Böhm, Peer Kröger, 2006, 18th International Conference on Scientific and Statistical Database Management (SSDBM'06).

CoCo: coding cost for parameter-free outlier detection

Christian Böhm, Katrin Haegler, Nikola S. Müller, 2009, KDD.

ITCH: Information-Theoretic Cluster Hierarchies

Christian Böhm, Claudia Plant, Frank Fiedler, 2010, ECML/PKDD.

Christian Böhm, David Englmeier, Sebastian Goebl, 2015, BTW Workshops.

Hierarchical Quick Shift Guided Recurrent Clustering

Christian Böhm, Claudia Plant, Muzaffer Can Altinigneli, 2020, 2020 IEEE 36th International Conference on Data Engineering (ICDE).

Integrative Parameter-Free Clustering of Data with Mixed Type Attributes

Christian Böhm, Claudia Plant, Sebastian Goebl, 2010, PAKDD.

Christian Böhm, Claudia Plant, Elisabeth Georgii, 2016, ITBAM.

Selectivity Estimation of High Dimensional Window Queries via Clustering

Christian Böhm, Hans-Peter Kriegel, Peer Kröger, 2005, SSTD.

Fast parallel similarity search in multimedia databases

Christian Böhm, Hans-Peter Kriegel, Stefan Berchtold, 1997, SIGMOD '97.

Combining Approximation Techniques and Vector Quantization for Adaptable Similarity Search

Christian Böhm, Hans-Peter Kriegel, Thomas Seidl, 2002, Journal of Intelligent Information Systems.

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

Christian Böhm, Claudia Plant, Martin Perdacher, 2016, 2016 IEEE International Conference on Big Data (Big Data).

A cost model for query processing in high dimensional data spaces

Christian Böhm, C. Böhm, 2000, TODS.

FUSE: Full Spectral Clustering

Christian Böhm, Wei Ye, Claudia Plant, 2016, KDD.

Efficient Database Techniques for Identification with Fuzzy Vault Templates

Christian Böhm, Thomas Seidl, Ines Färber, 2011, BIOSIG.

Knowledge Discovery of Complex Data Using Gaussian Mixture Models

Christian Böhm, Wei Ye, Claudia Plant, 2017, DaWaK.

Online hierarchical clustering in a data warehouse environment

Elke Achtert, Christian Böhm, Hans-Peter Kriegel, 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).

Outlier-robust clustering using independent components

Christian Böhm, Christos Faloutsos, Claudia Plant, 2008, SIGMOD Conference.

Synchronization Based Outlier Detection

Christian Böhm, Claudia Plant, Junming Shao, 2010, ECML/PKDD.

Novel Indexing Strategy and Similarity Measures for Gaussian Mixture Models

Christian Böhm, Wei Ye, Claudia Plant, 2017, DEXA.

Supporting KDD Applications by the k-Nearest Neighbor Join

Christian Böhm, Florian Krebs, C. Böhm, 2003, DEXA.

Komplexe Objektbeschreibungen zur Suche in Multimedia-Datenbanken

Elke Achtert, Christian Böhm, Hans-Peter Kriegel, 2006, Datenbank-Spektrum.

Efficient reverse k-nearest neighbor estimation

Elke Achtert, Christian Böhm, Peer Kröger, 2007, Informatik - Forschung und Entwicklung.

Approximate reverse k-nearest neighbor queries in general metric spaces

Elke Achtert, Christian Böhm, Peer Kröger, 2006, CIKM '06.

DeepECT: The Deep Embedded Cluster Tree

Christian Böhm, Claudia Plant, Dominik Mautz, 2020, Data Science and Engineering.

Finding Hierarchies of Subspace Clusters

Elke Achtert, Christian Böhm, Hans-Peter Kriegel, 2006, PKDD.

High performance clustering based on the similarity join

Christian Böhm, Hans-Peter Kriegel, Markus M. Breunig, 2000, CIKM '00.

Effective and Efficient Indexing for Large Video Databases

Christian Böhm, Peter Kunath, Matthias Schubert, 2007, BTW.

Clustering of Mixed-Type Data Considering Concept Hierarchies

Christian Böhm, Nikola S. Müller, Claudia Plant, 2019, PAKDD.

Optimal Dimension Order: A Generic Technique for the Similarity Join

Christian Böhm, Hans-Peter Kriegel, Florian Krebs, 2002, DaWaK.

Towards an Optimal Subspace for K-Means

Christian Böhm, Wei Ye, Claudia Plant, 2017, KDD.

Efficient Bulk Loading of Large High-Dimensional Indexes

Christian Böhm, Hans-Peter Kriegel, H. Kriegel, 1999, DaWaK.

Joint Gaussian Based Measures for Multiple-Instance Learning

Christian Böhm, Claudia Plant, Linfei Zhou, 2017, 2017 IEEE 33rd International Conference on Data Engineering (ICDE).

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

Christian Böhm, Claudia Plant, C. Böhm, 2008, EDBT '08.

A cost model and index architecture for the similarity join

Christian Böhm, Hans-Peter Kriegel, H. Kriegel, 2001, Proceedings 17th International Conference on Data Engineering.

Detection of Arbitrarily Oriented Synchronized Clusters in High-Dimensional Data

Christian Böhm, Claudia Plant, Junming Shao, 2011, 2011 IEEE 11th International Conference on Data Mining.

Multidimensional Index Structures in Relational Databases

Christian Böhm, Hans-Peter Kriegel, Stefan Berchtold, 2000, Journal of Intelligent Information Systems.

High Dimensional Indexing

Christian Böhm, Claudia Plant, C. Böhm, 2009, Encyclopedia of Database Systems.

Probabilistic skyline queries

Christian Böhm, Claudia Plant, Frank Fiedler, 2009, CIKM.

Independent quantization: an index compression technique for high-dimensional data spaces

Christian Böhm, Hans-Peter Kriegel, Stefan Berchtold, 2000, Proceedings of 16th International Conference on Data Engineering (Cat. No.00CB37073).

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

Christian Böhm, Klaus Hahn, Claudia Plant, 2010, Int. J. Knowl. Discov. Bioinform..

Learning from Labeled and Unlabeled Vertices in Networks

Christian Böhm, Wei Ye, Claudia Plant, 2017, KDD.

Data Mining Using Graphics Processing Units

Christian Böhm, Robert Noll, Claudia Plant, 2009, Trans. Large Scale Data Knowl. Centered Syst..

Finding the Optimal Subspace for Clustering

Christian Böhm, Xiao He, Claudia Plant, 2014, 2014 IEEE International Conference on Data Mining.

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

Christian Böhm, Klaus Hahn, Claudia Plant, 2010, 2010 IEEE International Conference on Data Mining Workshops.

Massively parallel expectation maximization using graphics processing units

Christian Böhm, Claudia Plant, Muzaffer Can Altinigneli, 2013, KDD.

Efficient Comparison of Encrypted Biometric Templates

Christian Böhm, Michael Dorn, Peter Wackersreuther, 2012, TrustBus.

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

Christian Böhm, Bernhard Tilg, Christian Baumgartner, 2006, Bioinform..

Compression-Based Graph Mining Exploiting Structure Primitives

Christian Böhm, Xiao He, Jing Feng, 2013, 2013 IEEE 13th International Conference on Data Mining.

Clustering of mixed-type data considering concept hierarchies: problem specification and algorithm

Christian Böhm, Nikola S. Müller, Claudia Plant, 2020, International Journal of Data Science and Analytics.

On Optimizing Nearest Neighbor Queries in High-Dimensional Data Spaces

Christian Böhm, Hans-Peter Kriegel, Stefan Berchtold, 2001, ICDT.

Epsilon grid order: an algorithm for the similarity join on massive high-dimensional data

Christian Böhm, Hans-Peter Kriegel, Florian Krebs, 2001, SIGMOD '01.

Prints of the 17th Century in a Distributed Digital Library System

Christian Böhm, Pavel Vogel, Stephan Wiesener, 1995, DEXA.

Subspace Clustering Ensembles through Tensor Decomposition

Christian Böhm, Claudia Plant, Dominik Mautz, 2016, 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW).

INCONCO: interpretable clustering of numerical and categorical objects

Christian Böhm, Claudia Plant, 2011, KDD.

Pyramid Technique

Christian Böhm, C. Böhm, 2008, ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems.

The k-Nearest Neighbour Join: Turbo Charging the KDD Process

Christian Böhm, Florian Krebs, C. Böhm, 2004, Knowledge and Information Systems.

A cost model for nearest neighbor search in high-dimensional data space

Christian Böhm, Hans-Peter Kriegel, Stefan Berchtold, 1997, PODS.

Alley cropping - a promising multifunctional form of land use for reclaimed lignite mine sites in Germany

Christian Böhm, M. Kanzler, A. Quinkenstein, 2014 .

SkyDist: Data Mining on Skyline Objects

Christian Böhm, Claudia Plant, Annahita Oswald, 2010, PAKDD.

Efficient EMD-based Similarity Search in Medical Image Databases

Christian Böhm, Ira Assent, Thomas Seidl, 2010 .

Parallel EM-Clustering: Fast Convergence by Asynchronous Model Updates

Christian Böhm, Claudia Plant, C. Böhm, 2010, 2010 IEEE International Conference on Data Mining Workshops.

Mining Massive Vector Data on Single Instruction Multiple Data Microarchitectures

Christian Böhm, Claudia Plant, C. Böhm, 2015, 2015 IEEE International Conference on Data Mining Workshop (ICDMW).

The Pruning Power: Theory and Heuristics for Mining Databases with Multiple k-Nearest-Neighbor Queries

Christian Böhm, Hans-Peter Kriegel, Bernhard Braunmüller, 2000, DaWaK.

Probabilistic Ranking Queries on Gaussians

Christian Böhm, Matthias Schubert, Alexey Pryakhin, 2006, 18th International Conference on Scientific and Statistical Database Management (SSDBM'06).

Development and evaluation of a facebook-based product advisor for online dating sites

Christian Böhm, Martin Winter, Sebastian Goebl, 2015, BTW Workshops.

Immer größere und komplexere Datenmengen: Herausforderungen für Clustering-Algorithmen

Christian Böhm, Hans-Peter Kriegel, Peer Kröger, 2004, Datenbank-Spektrum.

Computing Clusters of Correlation Connected objects

Christian Böhm, Peer Kröger, Arthur Zimek, 2004, SIGMOD '04.

The Gauss-Tree: Efficient Object Identification in Databases of Probabilistic Feature Vectors

Christian Böhm, Matthias Schubert, Alexey Pryakhin, 2006, 22nd International Conference on Data Engineering (ICDE'06).

DeLi-Clu: Boosting Robustness, Completeness, Usability, and Efficiency of Hierarchical Clustering by a Closest Pair Ranking

Elke Achtert, Christian Böhm, Peer Kröger, 2006, PAKDD.

Efficiently Processing Continuous k-NN Queries on Data Streams

Beng Chin Ooi, Christian Böhm, Claudia Plant, 2007, 2007 IEEE 23rd International Conference on Data Engineering.

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

Christian Böhm, Claudia Plant, Andrew Zherdin, 2009, BTW.

Robust, Complete, and Efficient Correlation Clustering

Elke Achtert, Christian Böhm, Hans-Peter Kriegel, 2007, SDM.

On Exploring Complex Relationships of Correlation Clusters

Elke Achtert, Christian Böhm, Hans-Peter Kriegel, 2007, 19th International Conference on Scientific and Statistical Database Management (SSDBM 2007).

Christian Böhm, Hans-Peter Kriegel, Matthias Schubert, 2000, Proceedings IEEE Advances in Digital Libraries 2000.

Modelling of classification rules on metabolic patterns including machine learning and expert knowledge

Christian Böhm, Christian Baumgartner, Daniela Baumgartner, 2005, J. Biomed. Informatics.

Network Structure and Transfer Behaviors Embedding via Deep Prediction Model

Christian Böhm, Junyu Dong, Claudia Plant, 2019, AAAI.

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

Christian Böhm, Fabian J. Theis, Nikola S. Müller, 2010, LVA/ICA.

Robust Clustering in Arbitrarily Oriented Subspaces

Elke Achtert, Christian Böhm, Peer Kröger, 2008, SDM.

Data mining in designing an agent-based DSS

Christian Böhm, Omar Chiotti, María Rosa Galli, 2003 .

Searching in high-dimensional spaces: Index structures for improving the performance of multimedia databases

Christian Böhm, Stefan Berchtold, Daniel A. Keim, 2001, CSUR.

Improving the Query Performance of High-Dimensional Index Structures by Bulk-Load Operations

Christian Böhm, Hans-Peter Kriegel, Stefan Berchtold, 1998, EDBT.

Frequent subgraph discovery in dynamic networks

Christian Böhm, Karsten M. Borgwardt, Annahita Oswald, 2010, MLG '10.

Indexsupported Similarity Join on Graphics Processors

Christian Böhm, Robert Noll, Claudia Plant, 2009, BTW.

Indexing Multiple-Instance Objects

Zhen Wang, Christian Böhm, Wei Ye, 2017, DEXA.

Pyramid Technique

Christian Böhm, C. Böhm, 2008, ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems.

Density connected clustering with local subspace preferences

Christian Böhm, Hans-Peter Kriegel, Peer Kröger, 2004, Fourth IEEE International Conference on Data Mining (ICDM'04).

Attributed Graph Clustering with Unimodal Normalized Cut

Christian Böhm, Wei Ye, Claudia Plant, 2017, ECML/PKDD.

Filtertechniken für geschützte biometrische Datenbanken

Christian Böhm, Thomas Seidl, Ines Färber, 2011, BTW.

Data mining use for learning process design of an information source locator agent

Christian Böhm, Omar Juan Alfredo Chiotti, María Rosa Galli, 2002 .

High Dimensional Indexing

Christian Böhm, Claudia Plant, C. Böhm, 2009, Encyclopedia of Database Systems.

Gaussian Component Based Index for GMMs

Christian Böhm, Claudia Plant, Linfei Zhou, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Christian Böhm, Hans-Peter Kriegel, Thomas Seidl, 2001, DaWaK.

Discovering Non-Redundant K-means Clusterings in Optimal Subspaces

Christian Böhm, Wei Ye, Claudia Plant, 2018, KDD.

MeGS: Partitioning Meaningful Subgraph Structures Using Minimum Description Length

Christian Böhm, Claudia Plant, Sebastian Goebl, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Biometric Template Protection

Christian Böhm, Thomas Seidl, Christoph Busch, 2011, Datenschutz und Datensicherheit - DuD.

Determining the Convex Hull in Large Multidimensional Databases

Christian Böhm, Hans-Peter Kriegel, H. Kriegel, 2001, DaWaK.

Density-based clustering using graphics processors

Christian Böhm, Robert Noll, Claudia Plant, 2009, CIKM.

Robust Synchronization-Based Graph Clustering

Christian Böhm, Xiao He, Claudia Plant, 2013, PAKDD.

Efficient Anytime Density-based Clustering

Christian Böhm, Xiao He, Jing Feng, 2013, SDM.

Synchronization-based scalable subspace clustering of high-dimensional data

Christian Böhm, Claudia Plant, Junming Shao, 2016, Knowledge and Information Systems.

Global Correlation Clustering Based on the Hough Transform

Elke Achtert, Christian Böhm, Peer Kröger, 2008, Stat. Anal. Data Min..

Querying Objects Modeled by Arbitrary Probability Distributions

Christian Böhm, Peter Kunath, Matthias Schubert, 2007, SSTD.

Information-Theoretic Model Selection for Independent Components

Christian Böhm, Anke Meyer-Bäse, Fabian J. Theis, 2010, LVA/ICA.

High performance data mining using the nearest neighbor join

Christian Böhm, Florian Krebs, 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..

Optimal Multidimensional Query Processing Using Tree Striping

Christian Böhm, Hans-Peter Kriegel, Stefan Berchtold, 2000, DaWaK.

Summarization-based mining bipartite graphs

Christian Böhm, Xiao He, Jing Feng, 2012, KDD.

Efficiently Indexing High-Dimensional Data Spaces (Abstract)

Christian Böhm, 1999, Datenbank Rundbr..

Searching Uncertain Data Represented by Non-axis Parallel Gaussian Mixture Models

Christian Böhm, Katrin Haegler, Frank Fiedler, 2012, 2012 IEEE 28th International Conference on Data Engineering.

Optimale Dimensionswahl bei der Bearbeitung des Similarity Join

Christian Böhm, Hans-Peter Kriegel, C. Böhm, 2002, Informatik - Forschung und Entwicklung.

Anytime density-based clustering of complex data

Christian Böhm, Xiao He, Jing Feng, 2014, Knowledge and Information Systems.

Weighted Graph Compression for Parameter-free Clustering With PaCCo

Christian Böhm, Katrin Haegler, Claudia Plant, 2011, SDM.

Dynamically Optimizing High-Dimensional Index Structures

Christian Böhm, Hans-Peter Kriegel, H. Kriegel, 2000, EDBT.

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

Christian Böhm, Janaina Mourão Miranda, Stefan J. Teipel, 2010, NeuroImage.

JGrid/FCC: A Tool for Efficient Knowledge Extraction from MRI Scans

Christian Böhm, Annahita Oswald, Felix Sappelt, 2011, 2011 22nd International Workshop on Database and Expert Systems Applications.

Multi-core K-means

Christian Böhm, Claudia Plant, Martin Perdacher, 2017, SDM.

XZ-Ordering: A Space-Filling Curve for Objects with Spatial Extension

Christian Böhm, Hans-Peter Kriegel, Gerald Klump, 1999, SSD.

Synchronization-Inspired Partitioning and Hierarchical Clustering

Christian Böhm, Xiao He, Claudia Plant, 2013, IEEE Transactions on Knowledge and Data Engineering.

Deep Embedded Cluster Tree

Christian Böhm, Claudia Plant, Dominik Mautz, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

Implementation of Multidimensional Index Structures for Knowledge Discovery in Relational Databases

Christian Böhm, Hans-Peter Kriegel, Stefan Berchtold, 1999, DaWaK.

Powerful Database Support for High Performance Data Mining

Christian Böhm, C. Böhm, 2001 .

RIC: Parameter-free noise-robust clustering

Christian Böhm, Christos Faloutsos, Claudia Plant, 2007, TKDD.

Identification of SNP interactions using data-parallel primitives on GPUs

Christian Böhm, Claudia Plant, Muzaffer Can Altinigneli, 2014, 2014 IEEE International Conference on Big Data (Big Data).

Genetic Algorithm for Finding Cluster Hierarchies

Christian Böhm, Christian Richter, Annahita Oswald, 2011, DEXA.

Active Density-Based Clustering

Christian Böhm, Xiao He, Claudia Plant, 2013, 2013 IEEE 13th International Conference on Data Mining.

ProVeR: Probabilistic Video Retrieval using the Gauss-Tree

Christian Böhm, Peter Kunath, Matthias Schubert, 2007, 2007 IEEE 23rd International Conference on Data Engineering.

Functional Cluster Analysis of CT Perfusion Maps: A New Tool for Diagnosis of Acute Stroke?

Christian Böhm, Christian Baumgartner, Stephan Felber, 2004, Journal of Digital Imaging.

Cache-oblivious High-performance Similarity Join

Christian Böhm, Claudia Plant, Martin Perdacher, 2019, SIGMOD Conference.

Efficient reverse k-nearest neighbor search in arbitrary metric spaces

Elke Achtert, Christian Böhm, Peer Kröger, 2006, SIGMOD Conference.

Efficiently Indexing High-Dimensional Data Spaces

Christian Böhm, C. Böhm, 1998 .

Robust information-theoretic clustering

Christian Böhm, Christos Faloutsos, Claudia Plant, 2006, KDD '06.

Proceedings of the International Workshop on Medical Ultrasound Tomography: 14.-15. Oct. 2019, Wayne State University, Detroit, Michigan, USA

Christian Böhm, Torsten Hopp, Nicole V. Ruiter, 2021 .

Christian Böhm, Xiao He, Claudia Plant, 2011, DMMH '11.