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Publications
1993
1.
|
Christian Böhm:
Management of Biological Sequence Data in an
Object-Oriented Database System,
Diploma thesis (in German), TU Munich, 1993. |
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2. |
Christian Böhm,
Frank Schönefeld:
Using EXPRESS Database Technology for Accessing
NCBI Genomic Data,
3rd Conference of the EXPRESS Users' Group (EUG), 1993. |
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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. |
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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. |
ps |
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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ps
pdf |
8. |
Christian Böhm:
Efficiently Indexing High-Dimensional Data Spaces,
Doctoral Thesis, University of Munich, 1998. |
pdf
order
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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. |
ps
pdf |
10. |
Christian Böhm,
Hans-Peter Kriegel:
Efficient Construction of Large High-Dimensional
Indexes,
Int. Conf. on Data Warehousing and Knowledge Discovery (DaWaK) 1999. |
ps |
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. |
ps |
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. |
pdf |
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. |
-------- |
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. |
ps
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. |
pdf |
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. |
pdf |
22. |
Christian Böhm:
The Similarity Join: A Powerful Database Primitive
for High Performance Data Mining,
tutorial, IEEE Int. Conf. on Data Engineering (ICDE), 2001. |
. |
23. |
Christian Böhm,
Hans-Peter Kriegel:
A Cost Model and Index Architecture for the
Similarity Join,
IEEE Int. Conf. on Data Engineering (ICDE), 2001. |
pdf
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. |
pdf
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. |
pdf |
26. |
Christian Böhm,
Hans-Peter Kriegel:
Determining the Convex Hull in Large
Multidimensional Databases,
Int. Conf. on Data Warehousing and Knowledge Discovery (DaWaK) 2001. |
pdf |
27. |
Christian Böhm:
Powerful Database Support for High Performance
Data Mining ,
Habilitation thesis, University of Munich, 2001. |
pdf |
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. |
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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
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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.
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pdf
ppt
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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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pdf
ppt
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33. |
Christian
Böhm, Florian Krebs:
High Performance Data Mining Using the Nearest
Neighbor Join
IEEE Int. Conf. on Data Mining (ICDM) 2002.
|
pdf |
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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pdf
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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pdf |
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. |
pdf |
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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pdf |
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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pdf |
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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pdf |
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. |
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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.
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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. |
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2005
43.
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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 |
44.
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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.
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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 |
46.
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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 |
2006
47.
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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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pdf |
48.
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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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pdf |
49.
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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.
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. |
50.
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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.
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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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pdf |
52.
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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 |
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
|
pdf |
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.
|
. |
55.
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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.
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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.
|
. |
57.
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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.
|
. |
58.
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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)
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59.
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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.
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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.
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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.
|
pdf |
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
|
pdf |
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
|
pdf |
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.
|
pdf |
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.
|
pdf |
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.
|
pdf |
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)
|
pdf |
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
|
pdf |
69.
|
Christian Böhm
The Pyramid Technique
,
in S. Shekar, H. Xiong: Encyclopedia of Geographical Information Science, Springer 2007.
|
pdf |
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.
|
pdf |
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.
|
pdf |
72.
|
Christian Böhm, Claudia Plant:
HISSCLU: A Hierarchical Density-Based Method for Semi-Supervised Clustering
,
Int. Conf on Extending Database Technology (EDBT) 2008.
|
pdf |
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).
|
pdf |
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
|
pdf |
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.
|
pdf |
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.
|
pdf |
77.
|
Christian Böhm, Claudia Plant:
High-Dimensional Indexing
,
Encyclopedia of Database Systems, 2009.
|
pdf |
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.
|
pdf |
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.
|
pdf |
80.
|
Christian Böhm, Frank Fiedler, Annahita Oswald, Claudia Plant, Bianca Wackersreuther:
Probabilistic Skyline Queries
,
ACM Conference on Information and Knowledge Management (CIKM), 2009.
|
pdf |
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.
|
pdf |
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.
|
pdf |
83.
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Autoren
Titel
,
Conf 2005.
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