Ludwig Maximilians Universität München
Institut für Informatik
Lehr- und Forschungseinheit für Datenbanksysteme




 



 

Publications

1993

1.
Christian Böhm:
Management of Biological Sequence Data in an Object-Oriented Database System,

Diploma thesis (in German), TU Munich, 1993.

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

1995

3. Christian Böhm, Armin Oppitz, Pavel Vogel, Stefan Wiesener:
Prints of the 17th Century in a Distributed Digital Library System,

Database and Expert Systems Applications (DEXA), 1995.

1997

4. Stefan Berchtold, Christian Böhm, Bernhard Braunmüller, Daniel Keim, Hans-Peter Kriegel:
Fast Parallel Similarity Search in Multimedia Databases,

ACM SIGMOD Int. Conf. on Management of Data, 1997,

SIGMOD Best Paper Award 1997.
ps
5. Stefan Berchtold, Christian Böhm, Daniel Keim, Hans-Peter Kriegel:
A Cost Model for High-Dimensional Nearest Neighbor Search,
ACM Symposium on Principles of Database Systems (PODS), 1997.
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1998

6. Stefan Berchtold, Christian Böhm, Hans-Peter Kriegel:
Improving the Performance of High-Dimensional Index Structures by Bulk-Load Operations,
Int. Conf on Extending Database Technology (EDBT), 1998.
ps
7.

Stefan Berchtold, Christian Böhm, Hans-Peter Kriegel:
The Pyramid Technique: Towards Breaking the Curse of Dimensionality,
ACM SIGMOD Int. Conf. on Management of Data, 1998.

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8. Christian Böhm:
Efficiently Indexing High-Dimensional Data Spaces,
Doctoral Thesis, University of Munich, 1998.

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order

1999

9. Christian Böhm, Gerald Klump, Hans-Peter Kriegel:
XZ-Ordering: A Space-Filling Curve for Objects with Spatial Extension,
6th International Symposium on Spatial Databases, 1999.
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10. Christian Böhm, Hans-Peter Kriegel:
Efficient Construction of Large High-Dimensional Indexes,

Int. Conf. on Data Warehousing and Knowledge Discovery (DaWaK) 1999.
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11. Stefan Berchtold, Christian Böhm, Hans-Peter Kriegel, Urs Michel:
Implementation of Multidimensional Index Structures for Knowledge Discovery in Relational Databases,
Int. Conf. on Data Warehousing and Knowledge Discovery (DaWaK) 1999.
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12. Christian Böhm:
Effiziente Indexstrukturen für hochdimensionale Datenräume (in German),

in 'Ausgezeichnete Informatikdissertationen 1998', Teubner 1999.
 pdf

2000

13. Stefan Berchtold, Christian Böhm, H.V. Jagadish, Hans-Peter Kriegel, Jörg Sander:
'Independent Quantization: An Index Compression Technique for High-Dimensional Spaces,
Int. Conf. on Data Engineering (ICDE), 2000.
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14. Christian Böhm, Hans-Peter Kriegel:
Dynamically Optimizing High-Dimensional Index Structures,
Int. Conf. on Extending Database Technology (EDBT), 2000.
 ps
 pdf
15. Christian Böhm, Stefan Berchtold, Hans-Peter Kriegel, Urs Michel:
Multidimensional Index Structures in Relational Databases,
Journal of Intelligent Information Systems (JIIS) Vol. 15, No. 1, 2000.
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16. Christian Böhm, Bernhard Braunmüller, Hans-Peter Kriegel, Matthias Schubert:
Efficient Similarity Search in Digital Libraries,
IEEE Int. Conf. on Advances in Digital Libraries (ADL), 2000.
 ps
17. Christian Böhm:
A Cost Model for Query Processing in High-Dimensional Data Spaces,
ACM Transactions on Database Systems (TODS) Vol. 25, No. 2, 2000.
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 pdf
18. Stefan Berchtold, Christian Böhm, Daniel Keim, Hans-Peter Kriegel, Xiaowei Xu:
Optimal Multidimensional Query Processing Using Tree Striping,
Int. Conf. on Data Warehousing and Knowledge Discovery (DaWaK) 2000.
 pdf
19. Christian Böhm, Bernhard Braunmüller, Hans-Peter Kriegel:
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
20. Christian Böhm, Bernhard Braunmüller, Markus Breunig, Hans-Peter Kriegel:
High Performance Clustering Based on the  Similarity Join,

Int. Conf. on Information and Knowledge Management (CIKM) 2000.
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2001

21. Stefan Berchtold, Christian Böhm, Daniel Keim, Florian Krebs, Hans-Peter Kriegel:
On Optimizing Nearest Neighbor Queries in High-Dimensional Spaces,
Int. Conf.on Database Theory (ICDT) 2001.
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22. Christian Böhm:
The Similarity Join: A Powerful Database Primitive for High Performance Data Mining,
tutorial, IEEE Int. Conf. on Data Engineering (ICDE), 2001.
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23. Christian Böhm, Hans-Peter Kriegel:
A Cost Model and Index Architecture for the Similarity Join,
IEEE Int. Conf. on Data Engineering (ICDE), 2001.
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ppt
24. Christian Böhm, Bernhard Braunmüller, Florian Krebs, Hans-Peter Kriegel:
Epsilon Grid Order: An Algorithm for the Similarity Join on Massive High-Dimensional Data,

ACM SIGMOD Int. Conf. on Management of Data, 2001.
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ppt
25. Christian Böhm, Thomas Seidl, Hans-Peter Kriegel:
Adaptable Similarity Queries Using Vector Quantization,

Int. Conf. on Data Warehousing and Knowledge Discovery (DaWaK) 2001.
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26. Christian Böhm, Hans-Peter Kriegel:
Determining the Convex Hull in Large Multidimensional Databases,
Int. Conf. on Data Warehousing and Knowledge Discovery (DaWaK) 2001.
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27. Christian Böhm:
Powerful Database Support for High Performance Data Mining ,
Habilitation thesis, University of Munich, 2001.
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28. Christian Böhm, Stefan Berchtold, Daniel Keim:
Searching in High-dimensional Spaces:
Index Structures for Improving the Performance of Multimedia Databases,
ACM Computing Surveys 33 (3), 2001.
 pdf

2002

29. Christian Böhm, Hans-Peter Kriegel:
Optimale Dimensionswahl bei der Bearbeitung des Similarity Join (in German),

Informatik: Forschung und Entwicklung, 17 (2), 2002.
 
30.

Christian Böhm, Hans-Peter Kriegel, Thomas Seidl:
Combining Approximation Techniques and Vector Quantization for Adaptable Similarity Search,
Journal on Intelligent Information Systems (JIIS), 19 (2), 2002

 
31.

Christian Böhm, Florian Krebs, Hans-Peter Kriegel:
Optimal Dimension Order: A Generic technique for the Similarity Join
Int. Conf. on Data Warehousing and Knowledge Discovery (DaWaK) 2002.

 pdf
ppt

32.

Christian Böhm:
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.

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ppt

33.

Christian Böhm, Florian Krebs:
High Performance Data Mining Using the Nearest Neighbor Join
IEEE Int. Conf. on Data Mining (ICDM) 2002.

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34.

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

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ppt

2003

35.

Christian Böhm, Florian Krebs:
Supporting KDD Applications by the k-Nearest Neighbor Join,

Int. Conf on Database and Expert Systems Applications (DEXA), 2003.

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2004

36. Christian Baumgartner, Daniela Baumgartner, Christian Böhm:
Classification on High Dimensional Metabolic Data:
Phenylketonuria as an Example
,

Int. Conf. on Biomedical Engineering (BioMed) 2004.
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37.

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

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38.

Christian Böhm, Karin Kailing, Peer Kröger, Arthur Zimek:
Computing Clusters of Correlation Connected Objects,
ACM SIGMOD Int. Conf. on Management of Data, 2004.

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39.

Christian Böhm, Karin Kailing, Peer Kröger, Hans-Peter Kriegel:
Immer größere und komplexere Datenmengen: Herausforderungen für Clustering-Algorithmen,
Datenbank-Spektrum, Heft 9, 2004.

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40. Christian Baumgartner, Christian Böhm, Daniela Baumgartner, Gerhard Marini, Klaus Weinberger, Bernhard Olgemöller, Bernhard Liebl, Adelbert A. Roscher:
Supervised machine learning techniques for the classification of metabolic disorders in newborns,
Bioinformatics (accepted for publication), 2004.

41. Christian Baumgartner, Daniela Baumgartner, Christian Böhm:
Modelling of classification rules on metabolic patterns including machine learning and expert knowledge,
(Poster) Bioinformatics Int. Conf. 2004.

42. Christian Böhm, Karin Kailing, Hans-Peter Kriegel, Peer Kröger:
Density Connected Clustering with Local Subspace Preferences
,
to appear in 4th IEEE International Conference on Data Mining (ICDM'04), Brighton, UK, 2004.

2005

43. 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.
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44. 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.
.
45. 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.
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46. 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.
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2006

47. 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.
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48. 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.
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49. 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.
.
50. 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.
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51. 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.
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52. 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.
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53. Yannis E. Ioannidis, Marc H. Scholl, Joachim W. Schmidt, Florian Matthes, Michael Hatzopoulos, Klemens Böhm, Alfons Kemper, Torsten Grust, Christian Böhm (eds.):
Advances in Database Technology - EDBT 2006, 10th International Conference on Extending Database Technology, Munich, Germany, March 26-31, 2006 ,
Proceedings Springer 2006
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54. 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.
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55. Böhm C., Faloutsos C., Pan J.-Y., Plant C.:
Robust Information-theoretic Clustering, t ,
Proc. 12th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'06), Philadelphia, PA, 2006.
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56. 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.
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57. Achtert E., Böhm C., Kröger P., Kunath P., Pryakhin A., Renz M.:
Approximate Reverse k-Nearest Neighbor Queries in General Metric Spaces ,
(Poster) Int. Conf. on Information and Knowledge Management, 2006.
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58. 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)
.
59. E. Achtert, C. Böhm, H.-P. Kriegel, P. Kröger, I. Müller-Gormann, A. Zimek:
Finding Hierarchies of Subspace Clusters ,
Poster, Int. Conf. on Principles of Knowledge Discovery (PKDD), Berlin, Germany, 2006.
.
60. 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.
.
61. Elke Achtert, Christian Böhm, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz:
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.
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2007

62. Christian Böhm, Beng Chin Ooi, Claudia Plant, Ying Yang:
Efficiently Processing Continuous k-NN Queries on Data Streams ,
Proc. IEEE Int. Conf on Data Engineering (ICDE), 2007
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63. Christian Böhm, Michael Gruber, Peter Kunath, Alexey Pryakhin, Matthias Schubert:
ProVeR: Probabilistic Video Retrieval using the Gauss-Tree ,
Demo, IEEE Int. Conf on Data Engineering (ICDE), 2007
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64. Elke Achtert, Christian Böhm, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz:
Efficient Reverse k-Nearest Neighbor Search ,
GI-Fachtagung für Datenbanksysteme in Business, Technologie und Web (BTW), 2007.
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65. Christian Böhm, Peter Kunath, Alexey Pryakhin, Matthias Schubert:
Effective and Efficient Indexing for Large Multimedia Databases ,
GI-Fachtagung für Datenbanksysteme in Business, Technologie und Web (BTW), 2007.
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66. Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Ina Müller-Gormann, Arthur Zimek:
Detection and Visualization of Subspace Cluster Hierarchies ,
12th Int. Conf. on Database Systems for Advanced Applications (DASFAA), 2007.
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67. Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Arthur Zimek
On Exploring Complex Relationships of Correlation Clusters ,
19th International Conference on Scientific and Statistical Database Management (SSDBM 2007)
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68. Elke Achtert, Christian Böhm, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz
Efficient Reverse k-nearest Neighbor Estimation ,
to appear in: Informatik: Forschung und Entwicklung, 2007
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69. Christian Böhm
The Pyramid Technique ,
in S. Shekar, H. Xiong: Encyclopedia of Geographical Information Science, Springer 2007.
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70. Christian Böhm, Peter Kunath, Alexey Pryakhin, Matthias Schubert
Querying Objects Modeled by Arbitrary Probability Distributions ,
10th Int. Symp. on Spatial and Temporal Databases (SSTD), 2007.
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2008

71. Elke Achtert, Christian Böhm, Jörn David, Peer Kröger, Arthur Zimek:
Robust Clustering in Arbitrarily Oriented Subspaces ,
SIAM Int. Conf. on Data Mining (SDM), 2008.
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72. Christian Böhm, Claudia Plant:
HISSCLU: A Hierarchical Density-Based Method for Semi-Supervised Clustering ,
Int. Conf on Extending Database Technology (EDBT) 2008.
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73. Ch. Böhm, Oswald A., C. Plant, B. Wackersreuther:
A Data Mining Framework for Classification of High Resolution Magnetic Resonance Images ,
Workshop on Mining Medical Data, Workshop Proceedings Knowledge Discovery in Databases (KDD 2009).
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74. 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
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2009

75. Ch. Böhm, R. Noll, C. Plant, A. Zherdin:
Index-supported Similarity Join on Graphics Processors ,
13. GI-Fachtagung Datenbanksysteme für Business, Technologie und Web (BTW), 2009.
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76. Ch. Böhm, L. Läer, C. Plant, A. Zherdin:
Model based Classification of Data with Time Series Valued Attributes ,
13. GI-Fachtagung Datenbanksysteme für Business, Technologie und Web (BTW), 2009.
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77. Christian Böhm, Claudia Plant:
High-Dimensional Indexing ,
Encyclopedia of Database Systems, 2009.
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78. Claudia Plant, Christian Böhm:
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.
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79. Christian Böhm, Katrin Haegler, Nikola S. Müller, Claudia Plant:
CoCo: Coding Cost For Parameter-Free Outlier Detection ,
15th ACM SIGKDD Conference on Knowledge Discovery an Data Mining (KDD), 2009.
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80. Christian Böhm, Frank Fiedler, Annahita Oswald, Claudia Plant, Bianca Wackersreuther:
Probabilistic Skyline Queries ,
ACM Conference on Information and Knowledge Management (CIKM), 2009.
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81. Christian Böhm, Robert Noll, Claudia Plant, Bianca Wackersreuther:
Density-based Clustering using Graphics Processing Units. ,
ACM Conference on Information and Knowledge Management (CIKM), 2009.
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82. Christian Böhm, Robert Noll, Claudia Plant, Bianca Wackersreuther, Andrew Zherdin:
Data Mining using Graphics Processing Units. ,
Journal on Transactions on Large Scale Data and Knowledge Centered Systems Vol. 1 No. 1, 2009.
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83. Autoren
Titel ,
Conf 2005.
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