Items where Author is "Böhm, Christian"

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Number of items: 76.

Journal Paper

  • Network Embedding via Deep Prediction Model
    Sun, Xin and Song, Zenghui and Yu, Yongbo and Dong, Junyu and Plant, Claudia and Böhm, Christian IEEE Trans. Big Data, 9 (2). pp. 455-470 ISSN 2332-7790 (2023)

  • An Interpretable Neuron Embedding for Static Knowledge Distillation
    Han, Wei and Wang, Yangqiming and Böhm, Christian and Shao, Junming CoRR, abs/22. ISSN 2331-8422 (2022)

  • Incorporating User's Preference into Attributed Graph Clustering
    Ye, Wei and Mautz, Dominik and Böhm, Christian and Singh, Ambuj and Plant, Claudia IEEE Transactions on Knowledge & Data Engineering, 33 (12). pp. 3716-3728 ISSN 1041-4347 (2021)

  • A Novel Hilbert Curve for Cache-locality Preserving Loops
    Böhm, Christian and Perdacher, Martin and Plant, Claudia IEEE Transactions on Big Data, 7 (2). pp. 241-254 ISSN 2332-7790 (2021)

  • Fusing Attributed and Topological Global-Relations for Network Embedding
    Sun, Xin and Yu, Yongbo and Liang, Yao and Dong, Junyu and Plant, Claudia and Böhm, Christian Information Sciences. ISSN 0020-0255 (2021)

  • DeepECT: The Deep Embedded Cluster Tree
    Mautz, Dominik and Plant, Claudia and Böhm, Christian Data Sci. Eng., 5 (4). pp. 419-432 ISSN 23748486 (2020)

  • Non-Redundant Subspace Clusterings with Nr-Kmeans and Nr-DipMeans
    Mautz, Dominik and Ye, Wei and Plant, Claudia and Böhm, Christian ACM Trans. Knowl. Discov. Data, 14 (5). 55:1-55:24 ISSN 1556-4681 (2020)

  • Clustering of mixed-type data considering concept hierarchies: problem specification and algorithm
    Behzadi Soheil, Sahar and Müller, Nikola and Plant, Claudia and Böhm, Christian pp. 233-248 ISSN 2364-4168 Springer (2020)

  • A Novel Hilbert Curve for Cache-locality Preserving Loops
    Böhm, Christian and Perdacher, Martin and Plant, Claudia IEEE Transactions on Big Data. pp. 1-14 ISSN 2332-7790 (2018)

  • Synchronization-based scalable subspace clustering of high-dimensional data
    Shao, Junming and Wang, Xinzuo and Yang, Qinli and Plant, Claudia and Böhm, Christian pp. 83-111 ISSN 0219-1377 (2017)

  • Synchronization-based scalable subspace clustering of high-dimensional data
    Shao, Junming and Wang, Xinzuo and Yang, Qinli and Plant, Claudia and Böhm, Christian Knowledge and Information Systems. pp. 1-29 ISSN 0219-1377 (2016)

  • Anytime Density-based Clustering of Complex Data
    Mai, Son T. and He, Xiao and Feng, Jing and Plant, Claudia and Böhm, Christian Knowl. Inf. Syst., 45 (2). pp. 319-355 ISSN 0219-1377 Springer-Verlag New York, Inc. (2015)

  • Predicting Multiple Functions of Sustainable Flood Retention Basins under Uncertainty via Multi-instance Multi-label Learning
    Yang, Q. and Böhm, Christian and Scholz, M. and Plant, Claudia and Shao, J. pp. 1359-1377 ISSN 0043-1354 (2015)

  • Measuring Non-Gaussianity by Phi-Transformed and Fuzzy Histograms
    Plant, Claudia and Son, Mai Thai and Shao, Junming and Theis, Fabian J. and Baese, Anke Meyer and Böhm, Christian Adv. Artificial Neural Systems, 2012. ISSN 1687-7594 (2012)

    • Paper in Conference Proceedings or in Workshop Proceedings

  • SHADE: Deep Density-based Clustering
    Beer, Anna and Weber, Pascal and Miklautz, Lukas and Leiber, Collin and Durani, Walid and Böhm, Christian and Claudia, Plant In: IEEE International Conference on Data Mining (ICDM) 2024 , 9 Dec - 12 Dec 2024 , Abu Dhabi (2024)

  • Adversarial Anomaly Detection using Gaussian Priors and Nonlinear Anomaly Scores
    Lüer, Fiete and Weber, Tobias and Dolgich, Maxim and Böhm, Christian In: IEEE International Conference on Data Mining (2023) , Dec 1-4, 2023 , Shanghai, China (2023)

  • k-SubMix: Common Subspace Clustering on Mixed-Type Data
    Klein, Mauritius and Leiber, Collin and Böhm, Christian In: Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part I , 18-22 Sep 2023 , Turin, Italy (2023)

  • Extension of the Dip-test Repertoire - Efficient and Differentiable p-value Calculation for Clustering
    Bauer, Lena G. M. and Leiber, Collin and Böhm, Christian and Plant, Claudia In: Proceedings of the 2023 SIAM International Conference on Data Mining, SDM 2023, Minneapolis-St. Paul Twin Cities, MN, USA, April 27-29, 2023 , 27-29 Apr 2023 , Minneapolis, Minnesota, U.S. (2023)

  • Application of Deep Clustering Algorithms
    Leiber, Collin and Miklautz, Lukas and Plant, Claudia and Böhm, Christian In: 32nd ACM International Conference on Information and Knowledge Management , 21.10.2023 - 25.10.2023 , Birmingham, United Kingdom (2023)

  • Benchmarking Deep Clustering Algorithms With ClustPy
    Leiber, Collin and Miklautz, Lukas and Plant, Claudia and Böhm, Christian In: IEEE International Conference on Data Mining, ICDM 2023 - Workshops, Shanghai, China, December 4, 2023 , 1-4 Dec 2023 , Shanghai, China (2023)

  • Incorporating User's Preference into Attributed Graph Clustering : Extended abstract
    Ye, Wei and Mautz, Dominik and Böhm, Christian and Singh, Ambuj K. and Plant, Claudia In: 39th IEEE International Conference on Data Engineering, ICDE 2023, Anaheim, CA, USA, April 3-7, 2023 , 3-7 Apr 2023 , Anaheim, CA (2023)

  • Influence without Authority: Maximizing Information Coverage in Hypergraphs
    Li, Peiyan and Wang, Honglian and Li, Kai and Böhm, Christian In: Proceedings of the 2023 SIAM International Conference on Data Mining, SDM 2023, Minneapolis-St. Paul Twin Cities, MN, USA, April 27-29, 2023 , 27-29 Apr 2023 , Minneapolis, Minnesota, U.S. (2023)

  • Interpretable Subgraph Feature Extraction for Hyperlink Prediction
    Li, Peiyan and Pan, Liming and Li, Kai and Plant, Claudia and Böhm, Christian In: IEEE International Conference on Data Mining, ICDM 2023, Shanghai, China, December 1-4, 2023 , 1-4 Dec 2023 , Shanghai, China (2023)

  • Non-Redundant Image Clustering of Early Medieval Glass Beads
    Miklautz, Lukas and Shkabrii, Andrii and Leiber, Collin and Tobias, Bendeguz and Seidl, Benedict and Weissensteiner, Elisabeth and Rausch, Andreas and Böhm, Christian and Plant, Claudia In: The 10th IEEE International Conference on Data Science and Advanced Analytics , 9-13 Oct 2023 , Thessaloniki, Greece (2023)

  • k-SubMix: Common Subspace Clustering on Mixed-Type Data
    Klein, Mauritius and Leiber, Collin and Böhm, Christian In: Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part I , 18-22 Sep 2023 , Torino, Italy (2023)

  • Enhancing k-Means Algorithm with Tensor Processing Unit
    Mummoju, Pranava and Wolff, Anna and Perdacher, Martin and Plant, Claudia and Böhm, Christian In: 2022 IEEE International Conference on Big Data (IEEE BigData 2022) , 17-20 Dec 2022 , Osaka, Japan (2022)

  • Automatic Parameter Selection for Non-Redundant Clustering
    Leiber, Collin and Mautz, Dominik and Plant, Claudia and Böhm, Christian In: Proceedings of the 2022 SIAM International Conference on Data Mining, SDM 2022, Alexandria, VA, USA, April 28-30, 2022 , 28-30 April 2022 , Alexandria, Virginia, USA (2022)

  • DBHD: Density-based clustering for highly varying density
    Durani, Walid and Mautz, Dominik and Plant, Claudia and Böhm, Christian In: IEEE International Conference on Data Mining, ICDM 2022, Orlando, FL, USA, November 28 - Dec. 1, 2022 , 28 Nov - 01 Dec 2022 , Orlando, FL, USA (2022)

  • Deep Clustering With Consensus Representations
    Miklautz, Lukas and Teuffenbach, Martin and Weber, Pascal and Perjuci, Rona and Durani, Walid and Böhm, Christian and Plant, Claudia In: 22nd IEEE International Conference on Data Mining 2022 , 28 Nov - 01 Dec , Orlando, FL, USA (2022)

  • The DipEncoder: Enforcing Multimodality in Autoencoders
    Leiber, Collin and Bauer, Lena G. M. and Neumayr, Michael and Plant, Claudia and Böhm, Christian In: KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022 , 14-18 Aug 2022 , Washington DC, USA (2022)

  • Details (Don't) Matter: Isolating Cluster Information in Deep Embedded Spaces
    Miklautz, Lukas and Bauer, Lena G. M. and Mautz, Dominik and Tschiatschek, Sebastian and Böhm, Christian and Plant, Claudia In: Thirtieth International Joint Conference on Artificial Intelligence (IJCAI-21) , 19.-27.08.2021 , Montreal, Canada (2021)

  • Dip-based Deep Embedded Clustering with k-Estimation
    Bauer, Lena G. M. and Leiber, Collin and Schelling, Benjamin and Böhm, Christian and Plant, Claudia In: 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD) , 14.-18.08.2021 , Singapore (2021)

  • Density-Based Clustering for Adaptive Density Variation
    Qian, Li and Plant, Claudia and Böhm, Christian In: IEEE International Conference on Data Mining, ICDM 2021, Auckland, New Zealand, December 7-10, 2021 , 07-10 Dec 2021 , Auckland, New Zealand (2021)

  • Improved Data Locality Using Morton-order Curve on the Example of LU Decomposition
    Perdacher, Martin and Plant, Claudia and Böhm, Christian In: IEEE International Conference on Big Data (Big Data) , 10.-13.12.2020 , Atlanta, Georgia USA (2020)

  • Massively Parallel Graph Drawing and Representation Learning
    Böhm, Christian and Plant, Claudia In: IEEE International Conference on Big Data (Big Data) , 10.-13.12.2020 , Atlanta, Georgia USA (2020)

  • Massively Parallel Random Number Generation
    Böhm, Christian and Plant, Claudia In: IEEE International Conference on Big Data (Big Data) , 10.-13.12.2020 , Atlanta, Georgia USA (2020)

  • Deep Embedded Non-Redundant Clustering
    Miklautz, Lukas and Mautz, Dominik and Altinigneli, M. C. and Böhm, Christian and Plant, Claudia In: 34th AAAI Conference on Artificial Intelligence , 07-12 Feb 2020 , New York (2020)

  • Data Compression as a Comprehensive Framework for Graph Drawing and Representation Learning
    Plant, Claudia and Biedermann, Sonja and Böhm, Christian In: KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, CA, USA, August 23-27, 2020 , 23-27 Aug 2020 , San Diego, USA (Virtual Conference) (2020)

  • Hierarchical Quick Shift Guided Recurrent Clustering
    Altinigneli, Muzaffer Can and Miklautz, Lukas and Böhm, Christian and Plant, Claudia In: 36th IEEE International Conference on Data Engineering, ICDE 2020 , 20-24 Apr 2020 , Dallas, Texas, USA (2020)

  • Cache-oblivious High-performance Similarity Join
    Perdacher, Martin and Plant, Claudia and Böhm, Christian In: Proceedings of the 2019 International Conference on Management of Data, SIGMOD Conference 2019 , June 30 - July 5, 2019 , Amsterdam (2019)

  • Clustering of Mixed-type Data Considering Concept Hierarchies
    Behzadi, Sahar and Müller, Nikola and Plant, Claudia and Böhm, Christian In: The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2019 , 14-17 April , Macau, China (2019)

  • Deep Embedded Cluster Tree
    Mautz, Dominik and Plant, Claudia and Böhm, Christian In: 2019 IEEE International Conference on Data Mining, ICDM 2019, Beijing, China, November 8-11, 2019 , 08-11 Nov 2019 , Beijing, China (2019)

  • Network Structure and Transfer Behaviors Embedding via Deep Prediction Model
    Sun, Xin and Song, Zenghui and Dong, Junyu and Yu, Yongbo and Plant, Claudia and Böhm, Christian In: The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Hono , 27 Jan - 01 Feb 2019 , Honolulu, USA (2019)

  • Discovering Non-Redundant K-means Clusterings in Optimal Subspaces
    Mautz, Dominik and Ye, Wei and Plant, Claudia and Böhm, Christian In: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2018, London, UK, August 19-23, 2018 , 19 - 23 Aug 2018 , London, United Kingdom (2018)

  • Multi-core K-means
    Böhm, Christian and Perdacher, Martin and Plant, Claudia In: 17. SIAM International Conference on Data Mining 2017 , 27.04.2017 - 30.04.2017 , Houston, Texas, USA (2017)

  • Indexing Multiple-Instance Objects
    Zhou, Linfei and Ye, Wei and Wang, Zhen and Plant, Claudia and Böhm, Christian In: Database and Expert Systems Applications - 28th International Conference, DEXA 2017, Lyon, France, August 28-31, 2017, Proceedings, Part II , 28-31 Aug 2017 , Lyon, France (2017)

  • Joint Gaussian Based Measures for Multiple-Instance Learning
    Zhou, Linfei and Plant, Claudia and Böhm, Christian In: 33rd IEEE International Conference on Data Engineering, ICDE 2017, San Diego, CA, USA, April 19-22, 2017 , 19-22 Apr 2017 , San Diego, California (2017)

  • Knowledge Discovery of Complex Data Using Gaussian Mixture Models
    Zhou, Linfei and Ye, Wei and Plant, Claudia and Böhm, Christian In: Big Data Analytics and Knowledge Discovery - 19th International Conference, DaWaK 2017, Lyon, France, August 28-31, 2017, Proceedings , 28-31 Aug 2017 , Lyon, France (2017)

  • Learning from Labeled and Unlabeled Vertices in Networks
    Ye, Wei and Zhou, Linfei and Mautz, Dominik and Plant, Claudia and Böhm, Christian In: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13 - 17, 2017 , 13-17 Aug 2017 , Halifax, Canada (2017)

  • Novel Indexing Strategy and Similarity Measures for Gaussian Mixture Models
    Zhou, Linfei and Ye, Wei and Wackersreuther, Bianca and Plant, Claudia and Böhm, Christian In: Database and Expert Systems Applications - 28th International Conference, DEXA 2017, Lyon, France, August 28-31, 2017, Proceedings, Part II , 28-31 Aug 2017 , Lyon, France (2017)

  • Towards an Optimal Subspace for K-Means
    Mautz, Dominik and Ye, Wei and Plant, Claudia and Böhm, Christian In: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13 - 17, 2017 , 13-17 Aug 2017 , Halifax, Canada (2017)

  • Cache-oblivious Loops Based on a Novel Space-filling Curve
    Böhm, Christian and Perdacher, Martin and Plant, Claudia In: IEEE International Conference on Big Data 2016 , 5-8 Dec 2016 , Washington D.C. (2016)

  • Gaussian Component based Index for GMMs
    Zhou, L. and Fiedler, F. and Wackersreuther, B. and Plant, Claudia and Böhm, Christian In: IEEE International Conference on Data Mining series (ICDM) 2016 , 12-15 Dec 2016 , Barcelona (2016)

  • MeGS: Partitioning Meaningful Subgraph Structures using Minimum Description Length
    Goebl, S. and Tonch, A. and Böhm, Christian and Plant, Claudia In: IEEE International Conference on Data Mining series (ICDM) 2016 , 12-15 Dec 2016 , Barcelona (2016)

  • Subspace Clustering Ensembles through Tensor Decomposition
    Mautz, Dominik and Böhm, Christian and Plant, Claudia In: IEEE International Conference on Data Mining Workshops, ICDM Workshops 2016, December 12-15, 2016, Barcelona, Spain. , 12 Dec 2016 , Barcelona, Spain (2016)

  • Covariate-Related Structure Extraction from Paired Data
    Zhou, Linfei and Georgii, Elisabeth and Plant, Claudia and Böhm, Christian In: Information Technology in Bio- and Medical Informatics - 7th International Conference, ITBAM 2016, Porto, Portugal, September 5-8, 2016, Proceedings , 5-8 Sep 2016 , Porto, Potugal (2016)

  • FUSE: Full Spectral Clustering
    Ye, W. and Goebl, S. and Plant, Claudia and Böhm, Christian In: 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) , 13-17 Aug 2016 , San Francisco (2016)

  • Mining Massive Vector Data on Single Instruction Multiple Data Microarchitectures
    Böhm, Christian and Plant, Claudia In: ICDM Workshop on Data Science and Big Data Analytics (DSBDA) 2015 , 13 Nov 2015 , Atlantic City, USA (2015)

  • Finding the Optimal Subspace for Clustering
    Goebl, S. and He, X. and Plant, Claudia and Böhm, Christian In: IEEE International Conference on Data Mining (ICDM) , 14-17 Dec 2014 , Shenzhen, China (2014)

  • Identification of SNP interactions using data-parallel primitives on GPUs
    Altinigneli, Muzaffer Can and Konte, Bettina and Rujescir, Dan and Böhm, Christian and Plant, Claudia In: 2014 IEEE International Conference on Big Data , 27-30 Oct 2014 , Washington, DC, USA (2014)

  • Active Density-based Clustering
    Mai, S. T. and He, X. and Hubig, N. and Plant, Claudia and Böhm, Christian In: IEEE International Conference on Data Mining (ICDM) , 7-10 Dec 2013 , Dallas, Texas (2013)

  • Compression-based Graph Mining Exploiting Structure Primitives
    Feng, J. and He, X. and Hubing, N. and Böhm, Christian and Plant, Claudia In: IEEE International Conference on Data Mining (ICDM) 2013 , 7-10 Dec 2013 , Dallas, Texas (2013)

  • Massively Parallel Expectation Maximization Using Graphics Processing Units
    Altinigneli, M. C. and Plant, Claudia and Böhm, Christian In: ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2013 , 11-14 Aug 2013 , Chicago, Illinois USA (2013)

  • Communication and Media Use in Self-Organized Teams in a Technology-Enhanced Project Management Course
    Böhm, Christian and Motschnig, Renate and Obiagwu, L. In: World Conference on Educational Multimedia, Hypermedia and Telecommunications (EDMEDIA) 2013 , 24-28 Jun 2013 , Victoria, British Columbia, Canada (2013)

  • Robust Synchronization-Based Graph Clustering
    Shao, Junming and He, Xiao and Yang, Qinli and Plant, Claudia and Böhm, Christian In: 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2013) , 14-17 Apr 2013 , Gold Coast, Australia (2013)

  • Summarization-based Mining Bipartite Graphs
    Feng, J. and He, X. and Konte, B. and Böhm, Christian and Plant, Claudia In: IGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2012 , 12-16 Aug 2012 , Beijing, China (2012)

  • Detection of Arbitrarily Oriented Synchronized Clusters in High-dimensional Data
    Shao, J. and Plant, Claudia and Yang, Q. and Böhm, Christian In: IEEE International Conference on Data Mining (ICDM) 2011 , 11-14 Dec 2011 , Vancouver, Kanada (2011)

  • INCONCO: Interpretable Clustering of Numerical and Categorica Objects
    Plant, Claudia and Böhm, Christian In: ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2011 , 21-24 Aug 2011 , San Diego, California (2011)

  • Clustering by Synchronization
    Böhm, Christian and Plant, Claudia and Shao, J. and Yang, Q. In: ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2010 , 25-28 Jul 2010 , Washington, DC (2010)

  • CoCo: Coding Cost for Parameter-free Outlier Detection
    Böhm, Christian and Haegler, K. and Müller, N. S. and Plant, Claudia In: ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2009 , 28 Jun - 1 Jul 2009 , Paris, France (2009)

  • Robust Information-theoretic Clustering
    Böhm, Christian and Faloutsos, C. and Pan, J.-Y. and Plant, Claudia In: ACM SIGKDD: International Conference on Knowledge Discovery and Data Mining (KDD) 2006 , 20-23 Aug 2006 , Philadelphia, USA (2006)

    • Book

  • Database Systems for Bio-medical Applications. Special Issue of Transactions on Large-Scale Data- and Knowledge Centered Systems (TLDKS)
    Böhm, Christian and Plant, Claudia and Eder, J. Springer, Berlin ISBN 978-3-642-23739-3 (2011)

  • Database Technology for Life Sciences and Medicine
    Plant, Claudia and Böhm, Christian World Scientific Books, Singapore ISBN 978-981-4307-70-3 (2010)

    • Book Section/Chapter

  • Attributed Graph Clustering with Unimodal Normalized Cut
    Ye, Wei and Zhou, Linfei and Sun, Xin and Plant, Claudia and Böhm, Christian In: Machine Learning and Knowledge Discovery in Databases. Springer International Publishing, Cham, pp. 601-616 (2017)

  • Novel Trends in Clustering
    Plant, Claudia and Böhm, Christian In: Evolving Application Domains of Data Warehousing and Mining: Trends and Solutions. Information Science Reference - Imprint of: IGI Publishing, Hershey, PA, pp. 185-211 (2009)

  • High Dimensional Indexing
    Böhm, Christian and Plant, Claudia In: Encyclopedia of Database Systems. Springer Publishing Company, Incorporated, pp. 1309-1314 (2009)

    • This list was generated on Tue Jan 14 19:47:40 2025 CET.
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