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ORCIDChristian Böhm 0001
Person information
- affiliation: University of Vienna, Austria
- affiliation (former): Ludwig Maximilian University of Munich, Germany
Other persons with the same name
- Christian Böhm 0002 — RWTH Aachen, Germany
- Christian Böhm 0003
![[0000-0003-2227-1138]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-2227-1138")
— Ruhr University, Bochum, Germany
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2020 – today
- 2025
[i11]Collin Leiber, Lukas Miklautz, Claudia Plant, Christian Böhm:
An Introductory Survey to Autoencoder-based Deep Clustering - Sandboxes for Combining Clustering with Deep Learning. CoRR abs/2504.02087 (2025)- 2024
- [j34]Wei Han, Zhili Qin, Jiaming Liu, Christian Böhm, Junming Shao:
Synchronization-Inspired Interpretable Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16762-16774 (2024) - [c131]Peiyan Li, Honglian Wang, Christian Böhm:
Scalable Graph Classification via Random Walk Fingerprints. ICDM 2024: 231-240 - [c130]Li Qian, Jing Qian, Xin Sun, Wengang Guo, Christian Böhm:
ADOD: Adaptive Density Outlier Detection. ICDM 2024: 400-409 - [c129]Anna Beer, Pascal Weber, Lukas Miklautz, Collin Leiber, Walid Durani, Christian Böhm, Claudia Plant:
SHADE: Deep Density-based Clustering. ICDM 2024: 675-680 - [c128]Li Qian, Claudia Plant, Yalan Qin, Jing Qian, Christian Böhm:
DynoGraph: Dynamic Graph Construction for Nonlinear Dimensionality Reduction. ICDM 2024: 827-832 - [i10]Anna Beer, Pascal Weber, Lukas Miklautz, Collin Leiber, Walid Durani, Christian Böhm, Claudia Plant:
SHADE: Deep Density-based Clustering. CoRR abs/2410.06265 (2024) - 2023
- [j33]Fiete Lüer, Christian Böhm:
Anomaly Detection using Generative Adversarial Networks Reviewing methodological progress and challenges. SIGKDD Explor. 25(2): 29-41 (2023) - [j32]Xin Sun, Zenghui Song, Yongbo Yu, Junyu Dong, Claudia Plant, Christian Böhm:
Network Embedding via Deep Prediction Model. IEEE Trans. Big Data 9(2): 455-470 (2023) - [c127]Collin Leiber, Lukas Miklautz, Claudia Plant, Christian Böhm:
Application of Deep Clustering Algorithms. CIKM 2023: 5208-5211 - [c126]Lukas Miklautz, Andrii Shkabrii, Collin Leiber, Bendeguz Tobias, Benedict Seidl, Elisabeth Weissensteiner, Andreas Rausch, Christian Böhm, Claudia Plant:
Non-Redundant Image Clustering of Early Medieval Glass Beads. DSAA 2023: 1-12 - [c125]Wei Ye, Dominik Mautz, Christian Böhm, Ambuj K. Singh, Claudia Plant:
Incorporating User's Preference into Attributed Graph Clustering : Extended abstract. ICDE 2023: 3833-3834 - [c124]Peiyan Li, Liming Pan, Kai Li, Claudia Plant, Christian Böhm:
Interpretable Subgraph Feature Extraction for Hyperlink Prediction. ICDM 2023: 279-288 - [c123]Fiete Lüer, Tobias Weber, Maxim Dolgich, Christian Böhm:
Adversarial Anomaly Detection using Gaussian Priors and Nonlinear Anomaly Scores. ICDM (Workshops) 2023: 550-559 - [c122]Collin Leiber, Lukas Miklautz, Claudia Plant, Christian Böhm:
Benchmarking Deep Clustering Algorithms With ClustPy. ICDM (Workshops) 2023: 625-632 - [c121]Mauritius Klein, Collin Leiber, Christian Böhm:
k-SubMix: Common Subspace Clustering on Mixed-Type Data. ECML/PKDD (1) 2023: 662-677 - [c120]Peiyan Li, Honglian Wang, Kai Li, Christian Böhm:
Influence without Authority: Maximizing Information Coverage in Hypergraphs. SDM 2023: 10-18 - [c119]Lena G. M. Bauer, Collin Leiber, Christian Böhm, Claudia Plant:
Extension of the Dip-test Repertoire - Efficient and Differentiable p-value Calculation for Clustering. SDM 2023: 109-117 - [i9]Fiete Lüer, Tobias Weber, Maxim Dolgich, Christian Böhm:
Adversarial Anomaly Detection using Gaussian Priors and Nonlinear Anomaly Scores. CoRR abs/2310.18091 (2023) - [i8]Collin Leiber, Dominik Mautz, Claudia Plant, Christian Böhm:
Automatic Parameter Selection for Non-Redundant Clustering. CoRR abs/2312.11952 (2023) - [i7]Lena G. M. Bauer, Collin Leiber, Christian Böhm, Claudia Plant:
Extension of the Dip-test Repertoire - Efficient and Differentiable p-value Calculation for Clustering. CoRR abs/2312.12050 (2023) - 2022
- [c118]Pranava Mummoju, Anna Wolff, Martin Perdacher, Claudia Plant, Christian Böhm:
Enhancing k-Means Algorithm with Tensor Processing Unit. IEEE Big Data 2022: 194-200 - [c117]Walid Durani, Dominik Mautz, Claudia Plant, Christian Böhm:
DBHD: Density-based clustering for highly varying density. ICDM 2022: 921-926 - [c116]Lukas Miklautz, Martin Teuffenbach, Pascal Weber, Rona Perjuci, Walid Durani, Christian Böhm, Claudia Plant:
Deep Clustering With Consensus Representations. ICDM 2022: 1119-1124 - [c115]Collin Leiber, Lena G. M. Bauer, Michael Neumayr, Claudia Plant, Christian Böhm:
The DipEncoder: Enforcing Multimodality in Autoencoders. KDD 2022: 846-856 - [c114]Collin Leiber, Dominik Mautz, Claudia Plant, Christian Böhm:
Automatic Parameter Selection for Non-Redundant Clustering. SDM 2022: 226-234 - [i6]Lukas Miklautz, Martin Teuffenbach, Pascal Weber, Rona Perjuci, Walid Durani, Christian Böhm, Claudia Plant:
Deep Clustering With Consensus Representations. CoRR abs/2210.07063 (2022) - [i5]Wei Han, Yangqiming Wang, Christian Böhm, Junming Shao:
An Interpretable Neuron Embedding for Static Knowledge Distillation. CoRR abs/2211.07647 (2022) - 2021
- [j31]Xin Sun, Yongbo Yu, Yao Liang, Junyu Dong, Claudia Plant, Christian Böhm:
Fusing attributed and topological global-relations for network embedding. Inf. Sci. 558: 76-90 (2021) - [j30]Christian Böhm, Martin Perdacher, Claudia Plant:
A Novel Hilbert Curve for Cache-Locality Preserving Loops. IEEE Trans. Big Data 7(2): 241-254 (2021) - [j29]Wei Ye, Dominik Mautz, Christian Böhm, Ambuj K. Singh, Claudia Plant:
Incorporating User's Preference into Attributed Graph Clustering. IEEE Trans. Knowl. Data Eng. 33(12): 3716-3728 (2021) - [c113]Li Qian, Claudia Plant, Christian Böhm:
Density-Based Clustering for Adaptive Density Variation. ICDM 2021: 1282-1287 - [c112]Lukas Miklautz, Lena G. M. Bauer, Dominik Mautz, Sebastian Tschiatschek, Christian Böhm, Claudia Plant:
Details (Don't) Matter: Isolating Cluster Information in Deep Embedded Spaces. IJCAI 2021: 2826-2832 - [c111]Collin Leiber, Lena G. M. Bauer, Benjamin Schelling, Christian Böhm, Claudia Plant:
Dip-based Deep Embedded Clustering with k-Estimation. KDD 2021: 903-913 - [i4]Xin Sun, Zenghui Song, Yongbo Yu, Junyu Dong, Claudia Plant, Christian Böhm:
Network Embedding via Deep Prediction Model. CoRR abs/2104.13323 (2021) - 2020
- [j28]Dominik Mautz, Claudia Plant, Christian Böhm:
DeepECT: The Deep Embedded Cluster Tree. Data Sci. Eng. 5(4): 419-432 (2020) - [j27]Sahar Behzadi, Nikola S. Müller, Claudia Plant, Christian Böhm:
Clustering of mixed-type data considering concept hierarchies: problem specification and algorithm. Int. J. Data Sci. Anal. 10(3): 233-248 (2020) - [j26]Dominik Mautz, Wei Ye, Claudia Plant, Christian Böhm:
Non-Redundant Subspace Clusterings with Nr-Kmeans and Nr-DipMeans. ACM Trans. Knowl. Discov. Data 14(5): 55:1-55:24 (2020) - [c110]Lukas Miklautz, Dominik Mautz, Muzaffer Can Altinigneli, Christian Böhm, Claudia Plant:
Deep Embedded Non-Redundant Clustering. AAAI 2020: 5174-5181 - [c109]Martin Perdacher, Claudia Plant, Christian Böhm:
Improved Data Locality Using Morton-order Curve on the Example of LU Decomposition. IEEE BigData 2020: 351-360 - [c108]Christian Böhm, Claudia Plant:
Massively Parallel Random Number Generation. IEEE BigData 2020: 413-419 - [c107]Christian Böhm, Claudia Plant:
Massively Parallel Graph Drawing and Representation Learning. IEEE BigData 2020: 609-616 - [c106]Muzaffer Can Altinigneli, Lukas Miklautz, Christian Böhm, Claudia Plant:
Hierarchical Quick Shift Guided Recurrent Clustering. ICDE 2020: 1842-1845 - [c105]Zhongjing Yu, Han Wang, Yang Liu, Christian Böhm, Junming Shao:
Community Attention Network for Semi-supervised Node Classification. ICDM 2020: 1382-1387 - [c104]Peiyan Li, Honglian Wang, Christian Böhm, Junming Shao:
Online Semi-supervised Multi-label Classification with Label Compression and Local Smooth Regression. IJCAI 2020: 1359-1365 - [c103]Claudia Plant, Sonja Biedermann, Christian Böhm:
Data Compression as a Comprehensive Framework for Graph Drawing and Representation Learning. KDD 2020: 1212-1222 - [i3]Wei Ye, Dominik Mautz, Christian Böhm, Ambuj K. Singh, Claudia Plant:
Incorporating User's Preference into Attributed Graph Clustering. CoRR abs/2003.11079 (2020) - [i2]Christian Böhm:
Space-filling Curves for High-performance Data Mining. CoRR abs/2008.01684 (2020) - [i1]Christian Böhm, Claudia Plant:
Massively Parallel Graph Drawing and Representation Learning. CoRR abs/2011.03479 (2020)
2010 – 2019
- 2019
- [c102]Xin Sun, Zenghui Song, Junyu Dong, Yongbo Yu, Claudia Plant, Christian Böhm:
Network Structure and Transfer Behaviors Embedding via Deep Prediction Model. AAAI 2019: 5041-5048 - [c101]Dominik Mautz, Wei Ye, Claudia Plant, Christian Böhm:
Discovering Non-Redundant K-means Clusterings in Optimal Subspaces. GI-Jahrestagung 2019: 257-258 - [c100]Fiete Lüer, Dominik Mautz, Christian Böhm:
Anomaly Detection in Time Series using Generative Adversarial Networks. ICDM Workshops 2019: 1047-1048 - [c99]Dominik Mautz, Claudia Plant, Christian Böhm:
Deep Embedded Cluster Tree. ICDM 2019: 1258-1263 - [c98]Sahar Behzadi, Nikola S. Müller, Claudia Plant, Christian Böhm:
Clustering of Mixed-Type Data Considering Concept Hierarchies. PAKDD (1) 2019: 555-573 - [c97]Martin Perdacher, Claudia Plant, Christian Böhm:
Cache-oblivious High-performance Similarity Join. SIGMOD Conference 2019: 87-104 - 2018
- [c96]Dominik Mautz, Wei Ye, Claudia Plant, Christian Böhm:
Discovering Non-Redundant K-means Clusterings in Optimal Subspaces. KDD 2018: 1973-1982 - [r4]Christian Böhm, Claudia Plant:
High-Dimensional Indexing. Encyclopedia of Database Systems (2nd ed.) 2018 - 2017
- [j25]Junming Shao, Xinzuo Wang, Qinli Yang, Claudia Plant, Christian Böhm:
Synchronization-based scalable subspace clustering of high-dimensional data. Knowl. Inf. Syst. 52(1): 83-111 (2017) - [c95]Linfei Zhou, Wei Ye, Claudia Plant, Christian Böhm:
Knowledge Discovery of Complex Data Using Gaussian Mixture Models. DaWaK 2017: 409-423 - [c94]Linfei Zhou, Wei Ye, Zhen Wang, Claudia Plant, Christian Böhm:
Indexing Multiple-Instance Objects. DEXA (2) 2017: 143-157 - [c93]Linfei Zhou, Wei Ye, Bianca Wackersreuther, Claudia Plant, Christian Böhm:
Novel Indexing Strategy and Similarity Measures for Gaussian Mixture Models. DEXA (2) 2017: 158-171 - [c92]Linfei Zhou, Claudia Plant, Christian Böhm:
Joint Gaussian Based Measures for Multiple-Instance Learning. ICDE 2017: 203-206 - [c91]Dominik Mautz, Wei Ye, Claudia Plant, Christian Böhm:
Towards an Optimal Subspace for K-Means. KDD 2017: 365-373 - [c90]Wei Ye, Linfei Zhou, Dominik Mautz, Claudia Plant, Christian Böhm:
Learning from Labeled and Unlabeled Vertices in Networks. KDD 2017: 1265-1274 - [c89]Wei Ye, Linfei Zhou, Xin Sun, Claudia Plant, Christian Böhm:
Attributed Graph Clustering with Unimodal Normalized Cut. ECML/PKDD (1) 2017: 601-616 - [c88]Christian Böhm, Martin Perdacher, Claudia Plant:
Multi-core K-means. SDM 2017: 273-281 - [r3]Christian Böhm:
Pyramid Technique. Encyclopedia of GIS 2017: 1691-1693 - 2016
- [c87]Christian Böhm, Martin Perdacher, Claudia Plant:
Cache-oblivious loops based on a novel space-filling curve. IEEE BigData 2016: 17-26 - [c86]Sebastian Goebl, Annika Tonch, Christian Böhm, Claudia Plant:
MeGS: Partitioning Meaningful Subgraph Structures Using Minimum Description Length. ICDM 2016: 889-894 - [c85]Dominik Mautz, Christian Böhm, Claudia Plant:
Subspace Clustering Ensembles through Tensor Decomposition. ICDM Workshops 2016: 1225-1234 - [c84]Linfei Zhou, Bianca Wackersreuther, Frank Fiedler, Claudia Plant, Christian Böhm:
Gaussian Component Based Index for GMMs. ICDM 2016: 1365-1370 - [c83]Linfei Zhou, Elisabeth Georgii, Claudia Plant, Christian Böhm:
Covariate-Related Structure Extraction from Paired Data. ITBAM 2016: 151-162 - [c82]Wei Ye, Sebastian Goebl, Claudia Plant, Christian Böhm:
FUSE: Full Spectral Clustering. KDD 2016: 1985-1994 - 2015
- [j24]Son T. Mai, Xiao He, Jing Feng, Claudia Plant, Christian Böhm:
Anytime density-based clustering of complex data. Knowl. Inf. Syst. 45(2): 319-355 (2015) - [c81]David Englmeier, Nina C. Hubig, Sebastian Goebl, Christian Böhm:
Musical similarity analysis based on chroma features and text retrieval methods. BTW Workshops 2015: 183-192 - [c80]Martin Winter, Sebastian Goebl, Nina C. Hubig, Christopher Pleines, Christian Böhm:
Development and evaluation of a facebook-based product advisor for online dating sites. BTW Workshops 2015: 213-222 - [c79]Christian Böhm, Claudia Plant:
Mining Massive Vector Data on Single Instruction Multiple Data Microarchitectures. ICDM Workshops 2015: 597-606 - 2014
- [c78]Muzaffer Can Altinigneli, Bettina Konte, Dan Rujescir, Christian Böhm, Claudia Plant:
Identification of SNP interactions using data-parallel primitives on GPUs. IEEE BigData 2014: 539-548 - [c77]Sebastian Goebl, Xiao He, Claudia Plant, Christian Böhm:
Finding the Optimal Subspace for Clustering. ICDM 2014: 130-139 - 2013
- [j23]Junming Shao, Xiao He, Christian Böhm, Qinli Yang, Claudia Plant:
Synchronization-Inspired Partitioning and Hierarchical Clustering. IEEE Trans. Knowl. Data Eng. 25(4): 893-905 (2013) - [c76]Jing Feng, Xiao He, Nina C. Hubig, Christian Böhm, Claudia Plant:
Compression-Based Graph Mining Exploiting Structure Primitives. ICDM 2013: 181-190 - [c75]Son T. Mai, Xiao He, Nina C. Hubig, Claudia Plant, Christian Böhm:
Active Density-Based Clustering. ICDM 2013: 508-517 - [c74]Muzaffer Can Altinigneli, Claudia Plant, Christian Böhm:
Massively parallel expectation maximization using graphics processing units. KDD 2013: 838-846 - [c73]Junming Shao, Xiao He, Qinli Yang, Claudia Plant, Christian Böhm:
Robust Synchronization-Based Graph Clustering. PAKDD (1) 2013: 249-260 - [c72]Christian Böhm, Jing Feng, Xiao He, Son T. Mai:
Efficient Anytime Density-based Clustering. SDM 2013: 112-120 - 2012
- [j22]Claudia Plant, Son Thai Mai, Junming Shao, Fabian J. Theis, Anke Meyer-Baese, Christian Böhm:
Measuring Non-Gaussianity by Phi-Transformed and Fuzzy Histograms. Adv. Artif. Neural Syst. 2012: 962105:1-962105:13 (2012) - [j21]Qinli Yang, Junming Shao, Miklas Scholz, Christian Böhm, Claudia Plant:
Multi-label classification models for sustainable flood retention basins. Environ. Model. Softw. 32: 27-36 (2012) - [c71]Katrin Haegler, Frank Fiedler, Christian Böhm:
Searching Uncertain Data Represented by Non-axis Parallel Gaussian Mixture Models. ICDE 2012: 246-257 - [c70]Jing Feng, Xiao He, Bettina Konte, Christian Böhm, Claudia Plant:
Summarization-based mining bipartite graphs. KDD 2012: 1249-1257 - [c69]Michael Dorn, Peter Wackersreuther, Christian Böhm:
Efficient Comparison of Encrypted Biometric Templates. TrustBus 2012: 129-142 - [e4]Christian Böhm, Sami Khuri, Lenka Lhotská, M. Elena Renda:
Information Technology in Bio- and Medical Informatics - Third International Conference, ITBAM 2012, Vienna, Austria, September 4-5, 2012. Proceedings. Lecture Notes in Computer Science 7451, Springer 2012, ISBN 978-3-642-32394-2 [contents] - 2011
- [j20]Christoph Busch, Ulrike Korte, Sebastian Abt, Christian Böhm, Ines Färber, Sergej Fries, Johannes Merkle, Claudia Nickel, Alexander Nouak, Alexander Opel, Annahita Oswald, Thomas Seidl, Bianca Wackersreuther, Peter Wackersreuther, Xuebing Zhou:
Biometric Template Protection - Ein Bericht über das Projekt BioKeyS. Datenschutz und Datensicherheit 35(3): 183-191 (2011) - [c68]Christian Böhm, Ines Färber, Sergej Fries, Ulrike Korte, Johannes Merkle, Annahita Oswald, Thomas Seidl, Bianca Wackersreuther, Peter Wackersreuther:
Efficient Database Techniques for Identification with Fuzzy Vault Templates. BIOSIG 2011: 115-126 - [c67]Christian Böhm, Ines Färber, Sergej Fries, Ulrike Korte, Johannes Merkle, Annahita Oswald, Thomas Seidl, Bianca Wackersreuther, Peter Wackersreuther:
Filtertechniken für geschützte biometrische Datenbanken. BTW 2011: 379-389 - [c66]Christian Böhm, Annahita Oswald, Christian Richter, Bianca Wackersreuther, Peter Wackersreuther:
Genetic Algorithm for Finding Cluster Hierarchies. DEXA (1) 2011: 349-363 - [c65]Christian Böhm, Annahita Oswald, Felix Sappelt:
JGrid/FCC: A Tool for Efficient Knowledge Extraction from MRI Scans. DEXA Workshops 2011: 81-85 - [c64]Junming Shao, Claudia Plant, Qinli Yang, Christian Böhm:
Detection of Arbitrarily Oriented Synchronized Clusters in High-Dimensional Data. ICDM 2011: 607-616 - [c63]Claudia Plant, Christian Böhm:
INCONCO: interpretable clustering of numerical and categorical objects. KDD 2011: 1127-1135 - [c62]Nikola Müller, Katrin Haegler, Junming Shao, Claudia Plant, Christian Böhm:
Weighted Graph Compression for Parameter-free Clustering With PaCCo. SDM 2011: 932-943 - [e3]Christian Böhm, Sami Khuri, Lenka Lhotská, Nadia Pisanti:
Information Technology in Bio- and Medical Informatics - Second International Conference, ITBAM 2011, Toulouse, France, August 29 - September 2, 2011. Proceedings. Lecture Notes in Computer Science 6865, Springer 2011, ISBN 978-3-642-23207-7 [contents] - [e2]Abdelkader Hameurlain, Josef Küng, Roland R. Wagner, Christian Böhm, Johann Eder, Claudia Plant:
Transactions on Large-Scale Data- and Knowledge-Centered Systems IV - Special Issue on Database Systems for Biomedical Applications. Lecture Notes in Computer Science 6990, Springer 2011, ISBN 978-3-642-23739-3 [contents] - 2010
- [j19]Junming Shao, Klaus Hahn, Qinli Yang, Afra M. Wohlschläger, Christian Böhm, Nicholas Myers, Claudia Plant:
Hierarchical Density-Based Clustering of White Matter Tracts in the Human Brain. Int. J. Knowl. Discov. Bioinform. 1(4): 1-25 (2010) - [j18]Claudia Plant, Stefan J. Teipel, Annahita Oswald, Christian Böhm, Thomas Meindl, Janaina Mourão Miranda, Arun L. W. Bokde, Harald Hampel, Michael Ewers:
Automated detection of brain atrophy patterns based on MRI for the prediction of Alzheimer's disease. NeuroImage 50(1): 162-174 (2010) - [c61]Claudia Plant, Fabian J. Theis, Anke Meyer-Bäse, Christian Böhm:
Information-Theoretic Model Selection for Independent Components. LVA/ICA 2010: 254-262 - [c60]Fabian J. Theis, Nikola S. Müller, Claudia Plant, Christian Böhm:
Robust Second-Order Source Separation Identifies Experimental Responses in Biomedical Imaging. LVA/ICA 2010: 466-473 - [c59]Claudia Plant, Christian Böhm:
Parallel EM-Clustering: Fast Convergence by Asynchronous Model Updates. ICDM Workshops 2010: 178-185 - [c58]Junming Shao, Klaus Hahn, Qinli Yang, Christian Böhm, Afra M. Wohlschläger, Nicholas Myers, Claudia Plant:
Combining Time Series Similarity with Density-Based Clustering to Identify Fiber Bundles in the Human Brain. ICDM Workshops 2010: 747-754 - [c57]Christian Böhm, Claudia Plant, Junming Shao, Qinli Yang:
Clustering by synchronization. KDD 2010: 583-592 - [c56]Bianca Wackersreuther, Peter Wackersreuther, Annahita Oswald, Christian Böhm, Karsten M. Borgwardt:
Frequent subgraph discovery in dynamic networks. MLG@KDD 2010: 155-162 - [c55]Christian Böhm, Sebastian Goebl, Annahita Oswald, Claudia Plant, Michael Plavinski, Bianca Wackersreuther:
Integrative Parameter-Free Clustering of Data with Mixed Type Attributes. PAKDD (1) 2010: 38-47 - [c54]Christian Böhm, Annahita Oswald, Claudia Plant, Michael Plavinski, Bianca Wackersreuther:
SkyDist: Data Mining on Skyline Objects. PAKDD (1) 2010: 461-470 - [c53]Christian Böhm, Frank Fiedler, Annahita Oswald, Claudia Plant, Bianca Wackersreuther, Peter Wackersreuther:
ITCH: Information-Theoretic Cluster Hierarchies. ECML/PKDD (1) 2010: 151-167 - [c52]Junming Shao, Christian Böhm, Qinli Yang, Claudia Plant:
Synchronization Based Outlier Detection. ECML/PKDD (3) 2010: 245-260
2000 – 2009
- 2009
- [j17]Christian Böhm, Robert Noll, Claudia Plant, Bianca Wackersreuther, Andrew Zherdin:
Data Mining Using Graphics Processing Units. Trans. Large Scale Data Knowl. Centered Syst. 1: 63-90 (2009) - [c51]Christian Böhm, Robert Noll, Claudia Plant, Andrew Zherdin:
Indexsupported Similarity Join on Graphics Processors. BTW 2009: 57-66 - [c50]Christian Böhm, L. Läer, Claudia Plant, Andrew Zherdin:
Model-based Classification of Data with Time Series-valued Attributes. BTW 2009: 287-296 - [c49]Christian Böhm, Frank Fiedler, Annahita Oswald, Claudia Plant, Bianca Wackersreuther:
Probabilistic skyline queries. CIKM 2009: 651-660 - [c48]Christian Böhm, Robert Noll, Claudia Plant, Bianca Wackersreuther:
Density-based clustering using graphics processors. CIKM 2009: 661-670 - [c47]Christian Böhm, Katrin Haegler, Nikola S. Müller, Claudia Plant:
CoCo: coding cost for parameter-free outlier detection. KDD 2009: 149-158 - [r2]Christian Böhm, Claudia Plant:
High Dimensional Indexing. Encyclopedia of Database Systems 2009: 1309-1314 - 2008
- [j16]Elke Achtert, Christian Böhm, Jörn David, Peer Kröger, Arthur Zimek:
Global Correlation Clustering Based on the Hough Transform. Stat. Anal. Data Min. 1(3): 111-127 (2008) - [c46]Christian Böhm, Claudia Plant:
HISSCLU: a hierarchical density-based method for semi-supervised clustering. EDBT 2008: 440-451 - [c45]Elke Achtert, Christian Böhm, Jörn David, Peer Kröger, Arthur Zimek:
Robust Clustering in Arbitrarily Oriented Subspaces. SDM 2008: 763-774 - [c44]Christian Böhm, Christos Faloutsos, Claudia Plant:
Outlier-robust clustering using independent components. SIGMOD Conference 2008: 185-198 - [r1]Christian Böhm:
Pyramid Technique. Encyclopedia of GIS 2008: 929-930 - 2007
- [j15]Elke Achtert, Christian Böhm, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz:
Efficient reverse k-nearest neighbor estimation. Inform. Forsch. Entwickl. 21(3-4): 179-195 (2007) - [j14]Christian Böhm, Christos Faloutsos, Jia-Yu Pan, Claudia Plant:
RIC: Parameter-free noise-robust clustering. ACM Trans. Knowl. Discov. Data 1(3): 10 (2007) - [c43]Christian Böhm, Peter Kunath, Alexey Pryakhin, Matthias Schubert:
Effective and Efficient Indexing for Large Video Databases. BTW 2007: 132-151 - [c42]Elke Achtert, Christian Böhm, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz:
Efficient Reverse k-Nearest Neighbor Estimation. BTW 2007: 344-363 - [c41]Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Ina Müller-Gorman, Arthur Zimek:
Detection and Visualization of Subspace Cluster Hierarchies. DASFAA 2007: 152-163 - [c40]Christian Böhm, Beng Chin Ooi, Claudia Plant, Ying Yan:
Efficiently Processing Continuous k-NN Queries on Data Streams. ICDE 2007: 156-165 - [c39]Christian Böhm, Michael Gruber, Peter Kunath, Alexey Pryakhin, Matthias Schubert:
ProVeR: Probabilistic Video Retrieval using the Gauss-Tree. ICDE 2007: 1521-1522 - [c38]Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Arthur Zimek:
Robust, Complete, and Efficient Correlation Clustering. SDM 2007: 413-418 - [c37]Christian Böhm, Peter Kunath, Alexey Pryakhin, Matthias Schubert:
Querying Objects Modeled by Arbitrary Probability Distributions. SSTD 2007: 294-311 - [c36]Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Arthur Zimek:
On Exploring Complex Relationships of Correlation Clusters. SSDBM 2007: 7 - 2006
- [j13]Claudia Plant, Christian Böhm, Bernhard Tilg, Christian Baumgartner:
Enhancing instance-based classification with local density: a new algorithm for classifying unbalanced biomedical data. Bioinform. 22(8): 981-988 (2006) - [j12]Elke Achtert, Christian Böhm, Stefan Brecheisen, Hans-Peter Kriegel, Peter Kunath, Alexey Pryakhin, Matthias Renz, Matthias Schubert:
Komplexe Objektbeschreibungen zur Suche in Multimedia-Datenbanken. Datenbank-Spektrum 19: 32-39 (2006) - [c35]Elke Achtert, Christian Böhm, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz:
Approximate reverse k-nearest neighbor queries in general metric spaces. CIKM 2006: 788-789 - [c34]Christian Böhm, Alexey Pryakhin, Matthias Schubert:
The Gauss-Tree: Efficient Object Identification in Databases of Probabilistic Feature Vectors. ICDE 2006: 9 - [c33]Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Arthur Zimek:
Deriving quantitative models for correlation clusters. KDD 2006: 4-13 - [c32]Christian Böhm, Christos Faloutsos, Jia-Yu Pan, Claudia Plant:
Robust information-theoretic clustering. KDD 2006: 65-75 - [c31]Elke Achtert, Christian Böhm, Peer Kröger:
DeLi-Clu: Boosting Robustness, Completeness, Usability, and Efficiency of Hierarchical Clustering by a Closest Pair Ranking. PAKDD 2006: 119-128 - [c30]Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Ina Müller-Gorman, Arthur Zimek:
Finding Hierarchies of Subspace Clusters. PKDD 2006: 446-453 - [c29]Elke Achtert, Christian Böhm, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz:
Efficient reverse k-nearest neighbor search in arbitrary metric spaces. SIGMOD Conference 2006: 515-526 - [c28]Elke Achtert, Christian Böhm, Peer Kröger, Arthur Zimek:
Mining Hierarchies of Correlation Clusters. SSDBM 2006: 119-128 - [c27]Christian Böhm, Alexey Pryakhin, Matthias Schubert:
Probabilistic Ranking Queries on Gaussians. SSDBM 2006: 169-178 - [e1]Yannis E. Ioannidis, Marc H. Scholl, Joachim W. Schmidt, Florian Matthes, Michael Hatzopoulos, Klemens Böhm, Alfons Kemper, Torsten Grust, Christian Böhm:
Advances in Database Technology - EDBT 2006, 10th International Conference on Extending Database Technology, Munich, Germany, March 26-31, 2006, Proceedings. Lecture Notes in Computer Science 3896, Springer 2006, ISBN 3-540-32960-9 [contents] - 2005
- [j11]Christian Baumgartner, Christian Böhm, Daniela Baumgartner:
Modelling of classification rules on metabolic patterns including machine learning and expert knowledge. J. Biomed. Informatics 38(2): 89-98 (2005) - [j10]Christian Baumgartner, Kurt Gautsch, Christian Böhm, Stephan Felber:
Functional Cluster Analysis of CT Perfusion Maps: A New Tool for Diagnosis of Acute Stroke? J. Digit. Imaging 18(3): 219-226 (2005) - [c26]Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger:
Online Hierarchical Clustering in a Data Warehouse Environment. ICDM 2005: 10-17 - [c25]Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Petra Linhart:
Selectivity Estimation of High Dimensional Window Queries via Clustering. SSTD 2005: 1-18 - 2004
- [j9]Christian Baumgartner, Christian Böhm, Daniela Baumgartner, G. Marini, Klaus Weinberger, B. Olgemöller, B. Liebl, A. A. Roscher:
Supervised machine learning techniques for the classification of metabolic disorders in newborns. Bioinform. 20(17): 2985-2996 (2004) - [j8]Christian Böhm, Karin Kailing, Peer Kröger, Hans-Peter Kriegel:
Immer größere und komplexere Datenmengen: Herausforderungen für Clustering-Algorithmen. Datenbank-Spektrum 9: 11-17 (2004) - [j7]Christian Böhm, Florian Krebs:
The k-Nearest Neighbour Join: Turbo Charging the KDD Process. Knowl. Inf. Syst. 6(6): 728-749 (2004) - [c24]Christian Böhm, Karin Kailing, Hans-Peter Kriegel, Peer Kröger:
Density Connected Clustering with Local Subspace Preferences. ICDM 2004: 27-34 - [c23]Christian Böhm, Karin Kailing, Peer Kröger, Arthur Zimek:
Computing Clusters of Correlation Connected Objects. SIGMOD Conference 2004: 455-466 - 2003
- [c22]Christian Böhm, Florian Krebs:
Supporting KDD Applications by the k-Nearest Neighbor Join. DEXA 2003: 504-516 - 2002
- [j6]Christian Böhm, Hans-Peter Kriegel:
Optimale Dimensionswahl bei der Bearbeitung des Similarity Join. Inform. Forsch. Entwickl. 17(2): 68-76 (2002) - [j5]Christian Böhm, Hans-Peter Kriegel, Thomas Seidl:
Combining Approximation Techniques and Vector Quantization for Adaptable Similarity Search. J. Intell. Inf. Syst. 19(2): 207-230 (2002) - [c21]Christian Böhm, Florian Krebs, Hans-Peter Kriegel:
Optimal Dimension Order: A Generic Technique for the Similarity Join. DaWaK 2002: 135-149 - [c20]Christian Böhm, Florian Krebs:
High Performance Data Mining Using the Nearest Neighbor Join. ICDM 2002: 43-50 - 2001
- [j4]Christian Böhm, Stefan Berchtold, Daniel A. Keim:
Searching in high-dimensional spaces: Index structures for improving the performance of multimedia databases. ACM Comput. Surv. 33(3): 322-373 (2001) - [c19]Christian Böhm, Hans-Peter Kriegel:
Determining the Convex Hull in Large Multidimensional Databases. DaWaK 2001: 294-306 - [c18]Christian Böhm, Hans-Peter Kriegel, Thomas Seidl:
Adaptable Similarity Search Using Vector Quantization. DaWaK 2001: 317-327 - [c17]Christian Böhm, Hans-Peter Kriegel:
A Cost Model and Index Architecture for the Similarity Join. ICDE 2001: 411-420 - [c16]Stefan Berchtold, Christian Böhm, Daniel A. Keim, Florian Krebs, Hans-Peter Kriegel:
On Optimizing Nearest Neighbor Queries in High-Dimensional Data Spaces. ICDT 2001: 435-449 - [c15]Christian Böhm, Bernhard Braunmüller, Florian Krebs, Hans-Peter Kriegel:
Epsilon Grid Order: An Algorithm for the Similarity Join on Massive High-Dimensional Data. SIGMOD Conference 2001: 379-388 - 2000
- [j3]Christian Böhm, Stefan Berchtold, Hans-Peter Kriegel, Urs Michel:
Multidimensional Index Structures in Relational Databases. J. Intell. Inf. Syst. 15(1): 51-70 (2000) - [j2]Christian Böhm:
A cost model for query processing in high dimensional data spaces. ACM Trans. Database Syst. 25(2): 129-178 (2000) - [c14]Christian Böhm, Bernhard Braunmüller, Hans-Peter Kriegel, Matthias Schubert:
Efficient Similarity Search in Digital Libraries. ADL 2000: 193-199 - [c13]Christian Böhm, Bernhard Braunmüller, Markus M. Breunig, Hans-Peter Kriegel:
High Performance Clustering Based on the Similarity Join. CIKM 2000: 298-305 - [c12]Stefan Berchtold, Christian Böhm, Daniel A. Keim, Hans-Peter Kriegel, Xiaowei Xu:
Optimal Multidimensional Query Processing Using Tree Striping. DaWaK 2000: 244-257 - [c11]Christian Böhm, Bernhard Braunmüller, Hans-Peter Kriegel:
The Pruning Power: Theory and Heuristics for Mining Databases with Multiple k-Nearest-Neighbor Queries. DaWaK 2000: 372-381 - [c10]Christian Böhm, Hans-Peter Kriegel:
Dynamically Optimizing High-Dimensional Index Structures. EDBT 2000: 36-50 - [c9]Stefan Berchtold, Christian Böhm, H. V. Jagadish, Hans-Peter Kriegel, Jörg Sander:
Independent Quantization: An Index Compression Technique for High-Dimensional Data Spaces. ICDE 2000: 577-588
1990 – 1999
- 1999
- [j1]Christian Böhm:
Efficiently Indexing High-Dimensional Data Spaces (Abstract). Datenbank Rundbr. 23: 23-24 (1999) - [c8]Christian Böhm, Hans-Peter Kriegel:
Efficient Bulk Loading of Large High-Dimensional Indexes. DaWaK 1999: 251-260 - [c7]Stefan Berchtold, Christian Böhm, Hans-Peter Kriegel, Urs Michel:
Implementation of Multidimensional Index Structures for Knowledge Discovery in Relational Databases. DaWaK 1999: 261-270 - [c6]Christian Böhm, Gerald Klump, Hans-Peter Kriegel:
XZ-Ordering: A Space-Filling Curve for Objects with Spatial Extension. SSD 1999: 75-90 - 1998
- [b1]Christian Böhm:
Efficiently Indexing High-Dimensional Data Spaces. Ludwig Maximilian University of Munich, Germany, Utz 1998, ISBN 978-3-89675-470-7, pp. I-XIV, 1-242 - [c5]Stefan Berchtold, Christian Böhm, Hans-Peter Kriegel:
Improving the Query Performance of High-Dimensional Index Structures by Bulk-Load Operations. EDBT 1998: 216-230 - [c4]Stefan Berchtold, Christian Böhm, Hans-Peter Kriegel:
The Pyramid-Technique: Towards Breaking the Curse of Dimensionality. SIGMOD Conference 1998: 142-153 - 1997
- [c3]Stefan Berchtold, Christian Böhm, Daniel A. Keim, Hans-Peter Kriegel:
A Cost Model For Nearest Neighbor Search in High-Dimensional Data Space. PODS 1997: 78-86 - [c2]Stefan Berchtold, Christian Böhm, Bernhard Braunmüller, Daniel A. Keim, Hans-Peter Kriegel:
Fast Parallel Similarity Search in Multimedia Databases. SIGMOD Conference 1997: 1-12 - 1995
- [c1]Christian Böhm, A. Oppitz, Pavel Vogel, Stephan Wiesener:
Prints of the 17th Century in a Distributed Digital Library System. DEXA 1995: 68-78
Coauthor Index
[i11] [c129] [c128] [i10] [j32] [c127] [c126] [c125] [c124] [c122] [c119] [i8] [i7] [c118] [c117] [c116] [c115] [c114] [i6] [j31] [j30] [j29] [c113] [c112] [c111] [i4] [j28] [j27] [j26] [c110] [c109] [c108] [c107] [c106] [c103] [i3] [i1] [c102] [c101] [c99] [c98] [c97] [c96] [r4] [j25] [c95] [c94] [c93] [c92] [c91] [c90] [c89] [c88] [c87] [c86] [c85] [c84] [c83] [c82] [j24] [c79] [c78] [c77] [j23] [c76] [c75] [c74] [c73] [j22] [j21] [c70] [c64] [c63] [c62] [e2] [j19] [j18] [c61] [c60] [c59] [c58] [c57] [c55] [c54] [c53] [c52] [j17] [c51] [c50] [c49] [c48] [c47] [r2] [c46] [c44] [j14] [c40] [j13] [c32]
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