Group Kriegel | Group Böhm | Habilitationen | Dissertationen | Diplom-/Masterarbeiten | Bachelorarbeiten

Publications:

2015

• Yang Q., Böhm C., Scholz M., Plant C., Shao J.: Predicting Multiple Functions of Sustainable Flood Retention Basins under Uncertainty via Multi-instance Multi-label Learning, To appear in Water Research, 2015.

2014

• Goebl S., He X., Plant C., Böhm C.: Finding the Optimal Subspace for Clustering, In Proc. of the IEEE Int. Conf. on Management of Data (ICDM), 2014.

• Altinigneli M.C., Konte B., Rujescu D., Böhm C., Plant C.: Identification of SNP interactions using data-parallel primitives on GPUs, In Proc of the BigData Conference, 2014.

• Mai S.T., He X., Feng J., Plant C., Böhm C.: Anytime Density-based Clustering of Complex Data, In Knowledge and Information Systems (KAIS), Springer, 2014.

2013

• Feng J., He X., Hubig N., Böhm C., Plant C.: Compression-based Graph Mining Exploiting Structure Primitives, In Proc. of the IEEE Int. Conf. on Data Mining (ICDM), 2013.

• Mai S.T., He X., Hubig N., Plant C., Böhm C.: Active Density-based Clustering, In Proc. of the IEEE Int. Conf. on Data Mining (ICDM), 2013.

• Altinigneli M. C., Plant C., Böhm C.: Massively Parallel Expectation Maximization Using Graphics Processing Units, In Proc. of the 19th ACM SIGKDD Conf. on Knowledge Discovery and Data Mining (KDD), 2013.

• Mai S.T., Feng J., He X., Böhm C.: Efficient Anytime Density-based Clustering, In Proc. of the SIAM Int. Conf. On Data Mining (SDM), 2013.

• Shao J., He X., Böhm C., Yang Q., Plant C.: Robust Synchronization-based Graph Clustering, In Proc. of the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2013.

• Shao J., He X., Böhm C., Yang Q., Plant C.: Synchronization-inspired Partitioning and Hierarchical Clustering, In IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 25(4), pp. 893-905, 2013.

2012

• Feng J., He X., Konte B., Böhm C., Plant C.: Summarization-based Mining Bipartite Graphs, In Proc. of the 18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2012.

• Haegler K., Fiedler F., Böhm C.: Searching Uncertain Data Represented by Non-Axis Parallel Gaussian Mixture Models, In Proc. of the 28th IEEE International Conference on Data Engineering (ICDE), 2012.

• Böhm C., Khuri S., Lhotska L., Renda M. E. (eds.): Information Technology in Bio- and Medical Informatics (ITBAM 2012, LNCS 7451), Springer, 2012.

• Wackersreuther P., Wackersreuther B., Böhm C.: Efficient Comparison of Encrypted Biometric Templates, In Proc. of the 9th International Conference on Trust, Privacy & Security in Digital Business (TrustBus), 2012.

• Plant C., Mai S.T., Shao J., Theis F.J., Meyer-Baese Anke, Böhm C.: Measuring Non-Gaussianity by Phi-transformed and Fuzzy Histograms, In Advances in Artificial Neural Systems, Article ID 962105, 13 pages, doi:10.1155/2012/962105, 2012.

• Shao J., Myers N., Yang Q., Feng J., Böhm C., Plant C., Förstl H., Kurz A., Zimmer C., Meng C., Riedl V., Wohlschläger A., Sorg C.: Prediction of Alzheimer's disease using individual structural connectivity networks, In Neurobiology of Aging, 33(12):2756-65, 2012.

• Haegler K., Wiesmann M., Böhm C., Freiherr v. Schnell O., Brückmann H., Tonn J.-C., Linn J.: New similarity search based glioma grading, In Neuroradiology, 54(8):829-37, 2012.

• Yang Q., Shao J., Scholz M., Böhm C. and Plant C.: Multi-label Classification Model for Sustainable Flood Retention Basins, In Environmental Modelling and Software, Volume 32:27–36, 2012.

2011

• Shao J., Plant C., Yang Q., Böhm C.: Detection of Arbitrarily Oriented Synchronized Clusters in High-dimensional Data, In Proc. of IEEE International Conference on Data Mining (ICDM'11), Vancouver, Canada, 2011.

• Böhm C., Khuri S., Lhotská L., Pisanti N.: Information Technology in Bio- and Medical Informatics, Lecture Notes in Computer Science, Vol. 6865, Springer, 2011.

• Hameurlain A. , Küng J., Wagner R., Böhm C., Eder J., Plant C.: Database Systems for Bio-medical Applications, Special Issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems (TLDKS), Springer, 2011.

• Böhm C., Färber I., Fries S., Korte U., Merkle J., Oswald A., Seidl T., Wackersreuther B., Wackersreuther P.: Efficient Database Techniques for Identification with Fuzzy Vault Templates, In Proc. of the Special Interest Group on Biometrics and Electronic Signatures, (BIOSIG 2011)..

• Plant C., Böhm C.: INCONCO: Interpretable Clustering of Numerical and Categorical Objects, Proc. of the 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2011).

• Christian Böhm, Xiao He, Jing Feng, Son T. Mai, Claudia Plant, Junming Shao: A Novel Similarity Measure for Fiber Clustering using Longest Common Subsequence, KDD 2011 Workshop on Medicine and Healthcare, 2011.

• Katrin Haegler, Christian Böhm: A Novel Tumor Grading Technique Using Functional Magnetic Resonance Imaging, KDD 2011 Workshop on Medicine and Healthcare, 2011.

• Nikola Müller, Katrin Haegler, Junming Shao, Claudia Plant, Christian Böhm: Weighted Graph Compression for Parameter-free Clustering, SIAM Int. Conf. on Data Mining (SDM), 2011.

• Nikola Müller, Jan Krumsiek, Fabian Theis, Christian Böhm, Anke Meyer-Baese: Gaussian Graphical Modeling Reveals Specific Lipid Correlations in Glioblastoma Cells, SPIE Defense, Security, and Sensing, 2011.

• Busch C., Korte U., Abt S., Böhm C., Färber I., Fries S., Merkle J., Nickel C., Nouak A., Opel A., Oswald A., Seidl T., Wackersreuther B., Wackersreuther P., Zhou X.: Biometric Template Protection: Ein Bericht über das Projekt BioKeyS, Datenschutz und Datensicherheit - DuD, Volume 35, Number 3, pp. 183-191. PDF

• Christian Böhm, Annahita Oswald, Christian Richter, Bianca Wackersreuther, Peter Wackersreuther: Genetic Algorithm for Finding Cluster Hierarchies, Int. Conf. on Database and Expert Systems Applications (DEXA), 2011.

• Christian Böhm, Annahita Oswald, Felix Sappelt: JGrid/FCC: A Tool for Efficient Knowledge Extraction from MRI Scans, Int. Workshop on Database Technology for Life Sciences and Medicine, 2011.

• Böhm C., Färber I., Fries S., Korte U., Merkle J., Oswald A., Seidl T., Wackersreuther B., Wackersreuther P.: Filtertechniken für geschützte biometrische Datenbanken, Proc. 14th GI Conference on Database Systems for Business, Technology, and the Web (BTW 2011)., Kaiserslautern, Germany, pp. 379-389. PDF

2010

• Junming Shao, Klaus Hahn, Qinli Yang, Afra Wohlschlaeger, Christian Böhm, Nicholas Myers, Claudia Plant, Hierarchical Density-based Clustering of White Matter Tracts in the Human Brain, International Journal of Knowledge Discovery in Bioinformatics, 1(4), 1-26, 2010. IGI Global’s ‘Fourth Annual Excellence in Research Journal Awards’ for the Best Published Journal Article in IJKDB 2010.

• Claudia Plant, Christian Böhm (eds.): Database Technology for Life Science and Medicine, World Scientific Books, 2010.

• Claudia Plant, Christian Böhm: Parallel EM-Clustering: Fast Convergence by Asynchronous Model Updates, IEEE ICDM Int. Worksh. on Knowledge Discovery Using Cloud and Distributed Computing Platforms (KDCloud), 2010.

• Junming Shao, Klaus Hahn, Qinli Yang, Christian Böhm, Afra Wohlschläger, Nicholas Myers, and Claudia Plant: Combining Time Series Similarity with Density-based Clustering to Identify Fiber Bundles in the Human Brain, IEEE ICDM Int. Worksh. on Biological Data Mining and its Applications in Healthcare (BioDM), 2010. Best Paper Award.

• Junming Shao, Christian Böhm, Qinli Yang, Claudia Plant: Synchronization Based Outlier Detection, in Proc. of the European Conf. on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), 2010.

• Claudia Plant, Fabian J. Theis, Anke Meyer-Baese, Christian Böhm: Information-theoretic Model Selection for Independent Components, Int. Conf. on Latent Variable Analysis and Signal Separation (LVA/ICA), 2010.

• Fabian J. Theis, Nikola S. Müller, Claudia Plant, Christian Böhm: Robust Second-order Source Separation Identifies Experimental Responses in Biomedical Imaging, Int. Conf. on Latent Variable Analysis and Signal Separation (LVA/ICA), 2010.

• Böhm C., Fiedler F., Oswald A., Plant C., Wackersreuther B., Wackersreuther P.: ITCH: Information-theoretic Cluster Hierarchies, In Proc. of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2010), Barcelona, Spain, pp. 151-167. PDF

• Böhm C., Plant C., Shao J., Yang Q.: Clustering by Synchronization, Proc. of the 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2010), Washington, DC, USA.

• Wackersreuther B., Wackersreuther P., Oswald A., Böhm C., Borgwardt K.M.: Frequent Subgraph Discovery in Dynamic Networks, In Proc. of the 8th Workshop on Mining and Learning with Graphs (MLG 2010) in conjunction with 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2010), Washington, DC, USA, pp. 155-162 . PDF

• Wackersreuther B., Oswald A., Wackersreuther P., Shao J., Borgwardt K.M.: Graph Mining on Brain Co-Activation Networks, In Database Technology for Life Sciences and Medicine, Böhm C., Plant C., (Ed.) World Scientific.

• Böhm C., Goebl S., Oswald A., Plant C., Plavinski M., Wackersreuther B.: Integrative Parameter-free Clustering of Data with Mixed Type Attributes. In Proc. of the 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2010), Hyderabad, India, pp. 38-47. PDF

• Böhm C., Oswald A., Plant C., Plavinski M., Wackersreuther B.: SkyDist: Data Mining on Skyline Objects. In Proc. of the 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2010), Hyderabad, India, pp. 461-470. PDF

• Plant C., Teipel S., Oswald A., Böhm C., Mourao-Miranda J., Bokde A. W., Hampel H., Ewers M.: Automated detection of brain atrophy patterns based on MRI for the prediction of Alzheimers disease, Neuroimage 50(1), pp. 162-174, 2010. PDF

2009

• Böhm C., Fiedler F., Pfeifle P.: Skyline Operators for Existentially Uncertain Data, ACM GIS 2009 International Workshop on Querying and Mining Uncertain Spatio-Temporal Data (QUeST), 2009.

• Böhm C., Noll R., Plant C., Wackersreuther B., Zherdin A.: Data Mining using Graphics Processing Units. , Journal on Transactions on Large Scale Data and Knowledge Centered Systems, Vol. 1 No. 1, 2009. PDF

• Böhm C., Noll R., Plant C., Wackersreuther B.: Density-based Clustering using Graphics Processing Units , ACM Conference on Information and Knowledge Management (CIKM), 2009. PDF

• Böhm C., Fiedler F., Oswald A., Plant C., Wackersreuther B.: Probabilistic Skyline Queries, ACM Conference on Information and Knowledge Management (CIKM), 2009. PDF

• Oswald A., Wackersreuther B.: Motif Discovery in Brain Networks of Patients with Somatoform Pain Disorder. , 20th International Workshop on Database and Expert Systems Application, 2009. PDF

• Böhm C., Haegler H., Müller N.S., Plant C.: CoCo: Coding Cost For Parameter-Free Outlier Detection, 15th ACM SIGKDD Conference on Knowledge Discovery an Data Mining (KDD), 2009. PDF

• Plant C., Böhm C.: Novel Trends in Clustering, to appear in: Pedro Furtado, et al. Evolving Application Domains of Data Warehousing and Mining: Trends and Solutions, IGI Global Press, 2009. PDF

• Böhm C., Plant C.: High-Dimensional Indexing, Encyclopedia of Database Systems, 2009.

• Böhm C., Läer L., Plant C., Zherdin A.: Model based Classification of Data with Time Series Valued Attributes, 13. GI-Fachtagung Datenbanksysteme für Business, Technologie und Web (BTW), 2009.

• Böhm C., Noll R., Plant C., Zherdin A.: Index-supported Similarity Join on Graphics Processors, 13. GI-Fachtagung Datenbanksysteme für Business, Technologie und Web (BTW), 2009.

2008

• Achtert E., Böhm C., David J., Kröger P., Zimek A.: Global Correlation Clustering Based on the Hough Transform, Statistical Analysis and Data Mining, Vol. 1, No. 3, November 2008, pp. 111-127, 2008. PDF

• Böhm C., Faloutsos C., Plant C.: Outlier-robust Clustering using Independent Components, SIGMOD Conf. 2008. PDF

• Böhm C., Oswald A., Plant C., Wackersreuther B.: A Data Mining Framework for Classification of High Resolution Magnetic Resonance Images, Workshop on Mining Medical Data, Workshop Proceedings Knowledge Discovery in Databases (KDD 2008).

• Böhm C., Plant C.: HISSCLU: A Hierarchical Density-Based Method for Semi-Supervised Clustering, Int. Conf on Extending Database Technology (EDBT) 2008. PDF

• Achtert E., Böhm C., David J., Kröger P., Zimek A.: Robust Clustering in Arbitrarily Oriented Subspaces , SIAM Int. Conf. on Data Mining (SDM), 2008. Best Paper Honorable Mention AwardPDF

2007

• Böhm C., Faloutsos C., Pan J. Y., Plant C.: RIC: Parameter-free Noise-robust Clustering, ACM Transactions on Knowledge Discovery from Data (TKDD) Vol. 1, No. 3, 2007 PDF

• Böhm C., Kunath P., Pryakhin A., Schubert M.: Querying Objects Modeled by Arbitrary Probability Distributions, 10th Int. Symp. on Spatial and Temporal Databases (SSTD), 2007. PDF

• Böhm C.:The Pyramid Technique , in S. Shekar, H. Xiong: Encyclopedia of Geographical Information Science, Springer 2007.

• Achtert E., Böhm C., Kriegel H.-P., Kröger P., Zimek A.: Robust, Complete, and Efficient Correlation Clustering, In Proceedings of the 7th SIAM International Conference on Data Mining (SDM), Minneapolis, MN, 2007. PDF | code

• Achtert E., Böhm C., Kröger P., Kunath P., Pryakhin A., Renz M.: Efficient Reverse k-nearest Neighbor Estimation , to appear in: Informatik: Forschung und Entwicklung, 2007. PDF

• Achtert E., Böhm C., Kriegel H.-P., Kröger P., Zimek A.: On Exploring Complex Relationships of Correlation Clusters, 19th International Conference on Scientific and Statistical Database Management (SSDBM 2007). PDF

• Achtert E., Böhm C., Kriegel H.-P., Müller-Gormann I., Zimek A.: Detection and Visualization of Subspace Cluster Hierarchies, 12th Int. Conf. on Database Systems for Advanced Applications (DASFAA), 2007. PDF

• Böhm C., Kunath P., Pryakhin A., Schubert M.: Effective and Efficient Indexing for Large Multimedia Databases, GI-Fachtagung für Datenbanksysteme in Business, Technologie und Web (BTW), 2007. PDF

• Achtert E., Böhm C., Kröger P., Kunath P., Pryakhin A., Renz M.: Efficient Reverse k-Nearest Neighbor Search , GI-Fachtagung für Datenbanksysteme in Business, Technologie und Web (BTW), 2007. PDF

• Böhm C., Gruber M., Kunath P., Pryakhin A., Schubert M.: ProVeR: Probabilistic Video Retrieval using the Gauss-Tree , Demo, IEEE Int. Conf on Data Engineering (ICDE), 2007. PDF

• Böhm C., Ooi B.C., Plant C., Yang Y.: Efficiently Processing Continuous k-NN Queries on Data Streams , Proc. IEEE Int. Conf on Data Engineering (ICDE), 2007. PDF

• Achtert E.: Hierarchical Subspace Clustering. PhD Thesis, Ludwig-Maximilians-University, Munich, Germany, 2007. PDF

2006

• Achtert E., Böhm C., Kröger P., Kunath P., Pryakhin A., Renz M.: Approximate Reverse k-Nearest Neighbor Queries in General Metric Spaces. , In Proc. 15th ACM Conf. on Information and Knowledge Management (CIKM'06), Arlington, VA, 2006. PDF

• Achtert E., Böhm C., Brecheisen S., Kriegel H.-P., Kunath P., Pryakhin A., Renz M., Schubert M.: Komplexe Objektbeschreibungen zur Suche in Multimedia-Datenbanken , to appear in: Datenbank-Spektrum, 2006. PDF

• Achtert E. , BöhmC., Kriegel H.-P., Kröger P., Müller-Gormann I., Zimek A.: Finding Hierarchies of Subspace Clusters, Poster, Int. Conf. on Principles of Knowledge Discovery (PKDD), Berlin, Germany, 2006. PDF

• Plant C., Böhm C., Tilg B., Baumgartner C.: Enhancing instance-based classification on high throughput MS/MS data: Metabolic syndrome as an example. , Gemeinsame Jahrestagung der Deutschen, Österreichischen und Schweizerischen Gesellschaft für Biomedizinische Technik, Zürich, Schweiz (BMT 2006)

• Achtert E., Böhm C., Kriegel H.-P., Kröger P., Zimek A.: Deriving Quantitative Dependencies for Correlation Clusters, Proc. ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'06), Philadelphia, PA, 2006. PDF

• Böhm C., Faloutsos C., Pan J.-Y., Plant C.: Robust Information-theoretic Clustering, Proc. 12th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'06), Philadelphia, PA, 2006. PDF

• Böhm C., Pryakhin A., Schubert M.: Probabilistic Ranking Queries on Gaussians, Proc. 18th Int. Conf. on Scientific and Statistical Database Management (SSDBM'06), Vienna, Austria, 2006. PDF

• Ioannidis Y.E., Scholl M.H., Schmidt J.W., Matthes F., Hatzopoulos M., Böhm K., Kemper A., Grust T., Böhm C. (eds.): Advances in Database Technology - EDBT 2006, 10th International Conference on Extending Database Technology, Munich, Germany, March 26-31, 2006 , Proceedings Springer 2006

• Achtert E., Böhm C., Kröger P., Kunath P., Pryakhin A., Renz M.: Efficient Reverse k-Nearest Neighbor Search in Arbitrary Metric Spaces, Proc. ACM SIGMOD Int. Conf. on Management of Data (SIGMOD'06), Chicago, IL, 2006, pp. 515-526. PDF

• Achtert E., Böhm C., Kröger P., Zimek A.: Mining Hierarchies of Correlation Clusters, Proc. 18th Int. Conf. on Scientific and Statistical Database Management (SSDBM'06), Vienna, Austria, 2006, pp. 119-128. PDF

• Plant C., Böhm C., Tilg B., Baumgartner C.: Enhancing instance-based classification with local density: A new algorithm for classifying unbalanced biomedical data , Bioinformatics vol. 22, 2006, pp. 981-988. PDF

• Baumgartner C., Böhm C., Baumgartner D., Marini G., Weinberger K., Olgemöller B., Liebl B., Roscher A. A.: Supervised machine learning techniques for the classification of metabolic disorders in newborns, Haux R., Kulikowski C. (eds.) IMIA Yearbook of Medical Informatics, 2006. PDF

• Achtert E., Böhm C., Kröger P.: DeLiClu: Boosting Robustness, Completeness, Usability, and Efficiency of Hierarchical Clustering by a Closest Pair Ranking, Proc. 10th Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD'06), Singapore, 2006. PDF

• Böhm C., Pryakhin A., Schubert M.: The Gauss-Tree: Efficient Object Identification of Probabilistic Feature Vectors, Proc. 22nd Int. Conf. on Data Engineering (ICDE'06), Atlanta, GA, 2006. PDF

• Achtert E., Schwald D.: FIS-by-Step: Visualization of the Fast Index Scan for Nearest Neighbor Queries, In Proceedings of the 10th International Conference on Extending Database Technology (EDBT), Munich, Germany, 2006. PDF| poster

• Achtert E., Kriegel H.-P., Pryakhin A., Schubert M.:Clustering Multi-Represented Objects Using Combination Trees, In Proceedings of the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Singapore, 2006. EE (SpringerLink) |PDF

2005

• Achtert E., Böhm C., Kriegel H.-P., Kröger P.: Online Hierarchical Clustering in a Data Warehouse Environment, Proc. 5th IEEE Int. Conf. on Data Mining (ICDM'05), Houston, TX, 2005, pp. 10-17. PDF

• Böhm C., Kriegel H.-P., Kröger P., Linhart P.: Selectivity Estimation of High Dimensional Window Queries Via Clustering, Proc. 9th Int. Symp. on Spatial and Temporal Databases (SSTD'05), Angra dos Reis, Brazil, 2005, pp. 1-18. PDF

• Baumgartner C., Gautsch K., Böhm C., Felber S.: Functional cluster analysis of CT perfusion maps: A new tool for diagnosis of acute stroke?, in J. Digit. Imaging, Vol. 18, 2005, pp. 219-226. PDF

• Baumgartner C., Böhm C., Baumgartner D. Modelling of classification rules on metabolic patterns including machine learning and expert knowledge, in J. Biomed Inform., Vol. 38, 2005, pp. 89-98. PDF

• Achtert E., Kriegel H.-P., Pryakhin A., Schubert M.: Hierarchical Density-Based Clustering for Multi-Represented Objects, In Workshop on Mining Complex Data (MCD) on the 5th IEEE International Conference on Data Mining (ICDM), Houston, TX, 2005. PDF

2004

• Böhm C., Kailing K., Kriegel H.-P., Kröger P.: Density Connected Clustering with Local Subspace Preferences, In 4th IEEE International Conference on Data Mining (ICDM'04), Brighton, UK, 2004. PDF

• Baumgartner C., Baumgartner D., Böhm C.: Modelling of classification rules on metabolic patterns including machine learning and expert knowledge, (Poster) Bioinformatics Int. Conf. 2004. PDF

• Baumgartner C., Böhm C., Baumgartner D., Marini G., Weinberger K., Olgemöller B., Liebl B., Roscher A.A.: Supervised machine learning techniques for the classification of metabolic disorders in newborns, Bioinformatics, 2004. PDF

• Böhm C., Kailing K., Kröger P., Kriegel H.-P.: Immer größere und komplexere Datenmengen: Herausforderungen für Clustering-Algorithmen, Datenbank-Spektrum, Heft 9, 2004. PDF

• Böhm C., Kailing K., Kröger P., Zimek A.: Computing Clusters of Correlation Connected Objects, ACM SIGMOD Int. Conf. on Management of Data, 2004. PDF

• Böhm C, Krebs F: The k-Nearest Neighbor Join: Turbo Charging the KDD Process, Knowledge and Information Systems (KAIS), Vol. 6 No. 6, 2004. PDF

• Baumgartner C., Baumgartner D., Böhm C.: Classification on High Dimensional Metabolic Data: Phenylketonuria as an Example, Int. Conf. on Biomedical Engineering (BioMed) 2004.

• Achtert E.: Inkrementelles hierarchisches Clustering. Diploma Thesis, Ludwig-Maximilians-University, Munich, Germany, 2004. PDF

2003

• Böhm C., Krebs F.: Supporting KDD Applications by the k-Nearest Neighbor Join, Int. Conf on Database and Expert Systems Applications DEXA), 2003. PDF

2002

• Böhm C.: Powerful Database Primitives to Support High Performance Data Mining Tutorial, IEEE Int. Conf. on Data Mining (ICDM) 2002. PDF

• Böhm C., Krebs F.: High Performance Data Mining Using the Nearest Neighbor Join, IEEE Int. Conf. on Data Mining (ICDM) 2002. PDF

• Böhm C.: Similarity Search and Data Mining: Database Techniques Supporting Next Decade's Applications Keynote Speech, Int. Conf. on Information Integration and Web-based Applications & Services (IIWAS), 2002. PDF

• Böhm C., Krebs F., Kriegel H.-P.: Optimal Dimension Order: A Generic technique for the Similarity Join, Int. Conf. on Data Warehousing and Knowledge Discovery (DaWaK) 2002. PDF

• Böhm C., Kriegel H.-P., Seidl T.: Combining Approximation Techniques and Vector Quantization for Adaptable Similarity Search, Journal on Intelligent Information Systems (JIIS), 19 (2), 2002. PDF

• Böhm C., Kriegel H.-P.: Optimale Dimensionswahl bei der Bearbeitung des Similarity Join (in German), Informatik: Forschung und Entwicklung, 17 (2), 2002. PDF

2001

• Böhm C., Berchtold S., Keim D.: Searching in High-dimensional Spaces: Index Structures for Improving the Performance of Multimedia Databases, ACM Computing Surveys 33 (3), 2001. PDF

• Böhm C., Kriegel H.-P.: Determining the Convex Hull in Large Multidimensional Databases, Int. Conf. on Data Warehousing and Knowledge Discovery (DaWaK) 2001. PDF

• Böhm C., Seidl T., Kriegel H.-P.: Adaptable Similarity Queries Using Vector Quantization, Int. Conf. on Data Warehousing and Knowledge Discovery (DaWaK) 2001. PDF

• Böhm C., Braunmüller B., Krebs F., Kriegel H.-P.: Epsilon Grid Order: An Algorithm for the Similarity Join on Massive High-Dimensional Data, ACM SIGMOD Int. Conf. on Management of Data, 2001. PDF

• Böhm C., Kriegel H.-P.: A Cost Model and Index Architecture for the Similarity Join, IEEE Int. Conf. on Data Engineering (ICDE), 2001. PDF

• Böhm C.: The Similarity Join: A Powerful Database Primitive for High Performance Data Mining, tutorial, IEEE Int. Conf. on Data Engineering (ICDE), 2001.

• Berchtold S., Böhm C., Keim D., Krebs F., Kriegel H.-P.: On Optimizing Nearest Neighbor Queries in High-Dimensional Spaces, Int. Conf.on Database Theory (ICDT) 2001. PDF

2000

• Böhm C., Braunmüller B., Breunig M., Kriegel H.-P.: High Performance Clustering Based on the Similarity Join, Int. Conf. on Information and Knowledge Management (CIKM) 2000. PDF

• Böhm C., Braunmüller B., Kriegel H.-P.: The Pruning Power: A Theory of Scheduling Strategies for Multiple k-Nearest Neighbor Queries, Int. Conf. on Data Warehousing and Knowledge Discovery (DaWaK) 2000. PDF

• Berchtold S., Böhm C., Keim D., Kriegel H.-P., Xu X.: Optimal Multidimensional Query Processing Using Tree Striping, Int. Conf. on Data Warehousing and Knowledge Discovery (DaWaK) 2000. PDF

• Böhm C.: A Cost Model for Query Processing in High-Dimensional Data Spaces, ACM Transactions on Database Systems (TODS) Vol. 25, No. 2, 2000. PDF

• Böhm C., Braunmüller B., Kriegel H.-P., Schubert M.: Efficient Similarity Search in Digital Libraries, IEEE Int. Conf. on Advances in Digital Libraries (ADL), 2000. PDF

• Böhm C., Berchtold S., Kriegel H.-P., Michel U.: Multidimensional Index Structures in Relational Databases, Journal of Intelligent Information Systems (JIIS) Vol. 15, No. 1, 2000. PDF

• Böhm C., Kriegel H.-P.: Dynamically Optimizing High-Dimensional Index Structures, Int. Conf. on Extending Database Technology (EDBT), 2000. PDF

• Berchtold S., Böhm C., Jagadish H.V. , Kriegel H.-P., Sander J.: Independent Quantization: An Index Compression Technique for High-Dimensional Spaces, Int. Conf. on Data Engineering (ICDE), 2000. PDF

1999

• Böhm C.: Effiziente Indexstrukturen für hochdimensionale Datenräume' (in German), in 'Ausgezeichnete Informatikdissertationen 1998, Teubner 1999. PDF

• Berchtold S., Böhm C., Kriegel H.-P., Michel U.: Implementation of Multidimensional Index Structures for Knowledge Discovery in Relational Databases, Int. Conf. on Data Warehousing and Knowledge Discovery (DaWaK) 1999. PDF

• Böhm C., Kriegel H.-P.: Efficient Construction of Large High-Dimensional Indexes, Int. Conf. on Data Warehousing and Knowledge Discovery (DaWaK) 1999. PDF

• Böhm C., Klump G., Kriegel H.-P.: XZ-Ordering: A Space-Filling Curve for Objects with Spatial Extension, 6th International Symposium on Spatial Databases, 1999. PDF

• Böhm C.: Efficiently Indexing High-Dimensional Data Spaces. Datenbank Rundbrief 23: 23-24 (1999)

1998

• Berchtold S., Böhm C., Kriegel H.-P.: The Pyramid Technique: Towards Breaking the Curse of Dimensionality, ACM SIGMOD Int. Conf. on Management of Data, 1998. PDF

• Berchtold S., Böhm C., Kriegel H.-P.: Improving the Performance of High-Dimensional Index Structures by Bulk-Load Operations, Int. Conf on Extending Database Technology (EDBT), 1998. PDF

1997

• Berchtold S., Böhm C., Keim D., Kriegel H.-P.: A Cost Model for High-Dimensional Nearest Neighbor Search, ACM Symposium on Principles of Database Systems (PODS), 1997. PDF

• Berchtold S., Böhm C., Braunmüller B., Keim D., Kriegel H.-P.: Fast Parallel Similarity Search in Multimedia Databases, ACM SIGMOD Int. Conf. on Management of Data, 1997, SIGMOD Best Paper Award 1997. PDF

1995

• Böhm C., Oppitz A., Vogel P., Wiesener S.: Prints of the 17th Century in a Distributed Digital Library System, Database and Expert Systems Applications (DEXA), 1995. PDF

1993

• Böhm C., Schönefeld F.: Using EXPRESS Database Technology for Accessing NCBI Genomic Data, 3rd Conference of the EXPRESS Users' Group (EUG), 1993.

Thesis

• Böhm C.: Powerful Database Support for High Performance Data Mining, Habilitation thesis, University of Munich, 2001. PDF

• Böhm C.: Management of Biological Sequence Data in an Object-Oriented Database System, Diploma thesis (in German), TU Munich, 1993.