Nr |
Title |
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52. |
G. Jossé, M. Schubert, L. Zellner
EasyEV: Monitoring and Querying System for Electric Vehicle Fleets Using Smart Car Data
In Proceedings of the 14th International Symposium on Spatial and Temporal Databases (SSTD), Hong Kong, China: 497-502
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51. |
G. Jossé, K.A. Schmid, A. Züfle, G. Skoumas, M. Schubert, D. Pfoser
Tourismo: A User-Preference Tourist Trip Search Engine
In Proceedings of the 14th International Symposium on Spatial and Temporal Databases (SSTD), Hong Kong, China: 514-519
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50. |
G. Jossé, M. Shekelyan, M. Schubert
ParetoPrep: Efficient Lower Bounds for Path Skylines and Fast Path Computation
In Proceedings of the 14th International Symposium on Spatial and Temporal Databases (SSTD), Hong Kong, China: 40-58, 2015.
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49. |
G. Skoumas, K. A. Schmid, G. Jossé, M. Schubert, M. Nascimento, A. Züfle, M. Renz, D. Pfoser
Knowledge-Enriched Route Computation
In Proceedings of the 14th International Symposium on Spatial and Temporal Databases (SSTD), Hong Kong, China: 157-176
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48. |
M. Stockerl, C. Ringlstetter, M. Schubert, E. Ntousi, H.-P. Kriegel
Online template matching over a stream of digitized documents
In Proceedings of the 27th International Conference on Scientific and Statistical Database Management (SSDBM), San Diego, CA: 9
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47. |
G. Jossé, Klaus Schmid, M. Schubert
Probabilistic Resource Route Queries with Reappearance
in proc.of the 18th International Conference on Extending Database Technology (EDBT), 445-456,Brussels, Belgium
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46. |
M. Shekelyan, G. Jossé, M. Schubert
Linear Path Skylines in Multi-Criteria Networks
in proc. of the 31st international conference on Data Egineering (ICDE),Seoul, South Korea |
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Nr |
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45. |
A. Drachen, M. Yancey, J. Maguire, D. Chu, I. Y. Wangx,T. Mahlmanny, M. Schubertz,D. Klabajan
Skill-Based Differences in Spatio-Temporal Team Behaviour in Defence of The Ancients 2 (DotA 2)
6th IEEE Consumer Electronics Society Games, Entertainment, Media Conference (GEM 14), Toronto, CA |
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44. |
M. Shekelyan, G. Jossé, M. Schubert, H.-P. Kriegel
Linear Path Skyline Computation in Bicriteria Networks
In Proceedings of the 19th International Conference on Database Systems for Advanced Applications (DASFAA 14), Bali, Indonesia: 173-187 |
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Nr |
Title |
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43. |
G. Jossé, M. Schubert,H.-P. Kriegel
Probabilistic Parking Queries using Aging Functions
21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems(ACMGIS 2013), Orlando, FL, USA, 2013 |
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42. |
T. Emrich, G. Jossé, H.-P. Kriegel, M. Mauder, J. Niedermayer, M. Renz, M. Schubert, A. Züfle
Optimal Distance Bounds for the Mahalanobis Distance
6th International Conference on Similarity Search and Applications (SISAP), A Coruna, Spain, 2013 |
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41. |
A. Drachen, M. Schubert
Spatial Game Analytics and Visualization
IEEE Conference on Computational Intelligence and Games, (CIG 2013), Niagara Falls, Canada, 2013 |
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40. |
A. Balteanu, G. Jossé, M. Schubert
Mining Driving Preferences in Multi-Cost Networks
In Proceedings of the 13th International Symposium on Spatial and Temporal Databases (SSTD 13), Munich, Germany, 2013. |
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Nr |
Title |
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39. |
H.P. Kriegel, M. Petri, M. Schubert, M. Shekelyan, M. Stockerl
Efficient Similarity Search on 3D Bounding Box Annotations
In Proceedings of the SPIE Medical Imaging 2012: Image Processing (SPIE), San Diego, CA, 2012.
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38. |
F. Graf, R. Greil, H.-P. Kriegel, M. Schubert, A. Cavallaro
Enhanced Detection of the Vertebrae in 2D CT-Images
In Proceedings of the SPIE Medical Imaging 2012: Image Processing (SPIE), San Diego, CA, 2012.
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Nr |
Title |
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37. |
M. Schubert, H.-P. Kriegel:
LOCAR: Local Compression of Alternative Routes
in 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
(ACM GIS 2011),Chicago, Illinois
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36. |
F. Graf, H.-P. Kriegel, M. Schubert, S. Poelsterl, A. Cavallaro:
2D Image Registration in CT Images using Radial Image Descriptors
In Medical Image Computing and Computer-Assisted Intervention (MICCAI'11), Toronto, Canada, 2011.
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35. |
Hans-Peter Kriegel, Matthias Schubert, Andreas Züfle:
Managing and Mining Spatio-Temporal Data in Massive Multiplayer Online Games
In Proceedings of the 12th International Symposium on Spatial and Temporal Databases (SSTD 11), Minneapolis, MN, 2011.
(CCC Headwater Award)
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34. |
A. Cavallaro, F. Graf, H.-P. Kriegel, M. Schubert, M. Thoma:
Region of Interest Queries in CT Scans
In Proceedings of the 12th International Symposium on Spatial and Temporal Databases (SSTD 11), Minneapolis, MN, 2011.
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further information |
33. |
F. Graf, H.-P. Kriegel, M. Renz, M. Schubert:
MARiO: Multi Attribute Routing in Open Street Map
Demonstration at the 12th International Symposium on Spatial and Temporal Databases (SSTD 11), Minneapolis, MN, 2011.
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further information |
32. |
F. Graf, H.-P. Kriegel, M. Schubert, M. Strukelj, A. Cavallaro:
Fully automatic detection of the vertebrae in 2D CT images
In Proceedings of the SPIE Medical Imaging 2011: Image Processing (SPIE 11), Lake Buena Vista, FL, USA, 2011.
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further information |
Nr |
Title |
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31. |
Graf. F, Kriegel H.-P., Renz M., Schubert M.:
Memory-Efficient A*-Search using Sparse Embeddings
18th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM GIS 10), San Jose, CA, 2010.
|
PDF |
30. |
Emrich T., Graf. F, Kriegel H.-P., Schubert M., Thoma M.:
Similarity Estimation using Bayes Ensembles
to appear at Int. Conf on Scientific and Statistic Databases (SSDBM 2010),Heidelberg, Germany,2010
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further information |
29. |
Emrich T., Graf. F, Kriegel H.-P., Schubert M., Thoma M.:
Optimizing All-Nearest-Neighbor Queries with Trigonometric Pruning
to appear at Int. Conf on Scientific and Statistic Databases (SSDBM 2010),Heidelberg, Germany,2010
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further information |
28. |
Graf. F, Kriegel H.-P., Renz M., Schubert M.:
PAROS: Pareto Optimal Route Selection
to appear as Demonstraion at ACM SIGMOD Int. Conf. on Management of Data (SIGMOD'10), Indianapolis, IN, USA, 2010
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further information |
28. |
Kriegel H.-P., Renz M., Schubert M.:
Route Skyline Queries: A Multi-Preference Path Planning Approach
to appear in proc. 26th Int. Conf. on Data Engineering (ICDE 2010), Long Beach, CA, USA, 2010
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[PDF] |
27. |
Emrich T., Graf F., Kriegel H.-P. ,Schubert M., Thoma M.,Cavallaro A.:
CT Slice Localization via Instance-Based Regression
In Proceedings of the SPIE Medical Imaging 2011: Image Processing (SPIE 10), San Diego, CA, USA, 2010
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[PDF] |
26. |
Kriegel H.-P., Schubert M., Zimek A.:
Angle Based Outlier Detection
in proc. 14th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2008), Las Vegas, NV, USA, 2008
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[PDF] |
25. |
Kriegel H.-P., Renz M., Schubert M., Züfle A.:
Statistical Density Prediction in Traffic Networks.
in proc. 8th SIAM Conference on Data Mining (SDM 2008), Atlanta, GA, USA, 2008
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[PDF] |
24. |
Kriegel H.-P., Kunath P., Pryakhin A., Schubert M.:
MUSE: Multi-Represented Similarity Estimation
in proc. 24th International Conference on Data Engineering (ICDE 2008),
Cancún, México, 2008
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[PDF] |
23. |
Kriegel H.-P., Kunath P., Pryakhin A., Schubert M.:
Distribution-Based Similarity for Multi-Represented Multimedia Objects
in proc. 14th international Multimedia Modeling Conference (MMM 2008), Kyoto, Japan, 2008
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[PDF] |
22. |
Böhm C., Kunath P., Pryakhin A., Schubert M.:
Effective and Efficient Indexing for Large Video Databases
in proc. of "12. GI-Fachtagung für Datenbanksysteme in Business, Technologie und Web" (BTW 2007), Aachen, Germany, 2007
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[PDF] |
21. |
Böhm C., Kunath P., Pryakhin A., Schubert M.:
Querying Objects modeled by Arbitrary Probability Distributions
in proc. 10th International Symposium on Spatial and Temporal Databases (SSTD 2007), Boston, U.S.A., 2007
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[PDF] |
20. |
Aßfalg J., Kriegel H.-P., Pryakhin A., Schubert M.:
Multi-Represented Classification based on Confidence Estimation
in proc. 11th Pacific-Asia Conference on Knowledge Discovery and Data
Mining (PAKDD 2007),
Nanjing, China, 2007
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[PDF] |
19. |
Böhm C., Gruber M., Kunath P., Pryakhin A., Schubert M.:
PROVER: Probabilistic Video Retrieval
Demonstration on 23rd International Conference on Data Engineering
(ICDE 2007), Istanbul, Turkey, 2007
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[PDF] |
18. |
Kriegel H.-P., Pryakhin A., Schubert M., Zimek A.:
COSMIC: Conceptually Specified Multi-Instance Clusters
in proc. 6th international Conference on Data Mining (ICDM 2006), Hong Kong, China, 2006
|
[PDF] |
17. |
Böhm C., Pryakhin A., Schubert M.:
Probabilistic Ranking Queries on Gaussians
in proc. 18th Int. Conf. on Scientific and Statistical Database Management (SSDBM 2006), Vienna, Austria, 2006
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[PDF] |
16. |
Kriegel H.-P., Kröger P.,Schubert M., Zhu Z.:
Efficient Query Processing in Arbitrary Subspaces Using Vector Approximations
in proc. 18th Int. Conf. on Scientific and Statistical Database Management (SSDBM 2006), Vienna, Austria, 2006
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[PDF] |
15. |
Kriegel H.-P, Pryakhin A.,Schubert M.:
An EM-Approach for Clustering Multi-Instance Objects
in proc. 10th Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD 2006),
Singapore, 2006
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[PDF] |
14. |
Achtert E., Kriegel H.-P, Pryakhin A., Schubert M.:
Clustering Multi-Represented Objects Using Combination Trees
in proc. 10th Pacific-Asia Conference on Knowledge Discovery and Data
Mining (PAKDD 2006),Singapore, 2006
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[PDF]
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13. |
Kriegel H.-P., Schubert M.:
Advanced Prototype Machines: Exploring Prototypes for Classification
in proc. 6th SIAM Conference on Data Mining (SDM 2006), Bethesda, MD, USA, 2006
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[PDF]
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12. |
Brecheisen, S., Gruber, M., Kriegel H.P.,Schubert: M:
VICO: Visualizing Connected Object Orderings
Demonstration on. 10th International Conference on Extending Database Technology (EDBT 2006), Munich ,Germany, 2006
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[PDF]
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11. |
Böhm, C., Pryakhin, A., Schubert M.:
The Gaus-Tree: Efficient Object Identification of Probabilistic Feature
Vectors
in proc. 22nd international Conference on Data Engeneering (ICDE 2006)
Atlanta, GA, USA, 2006
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[PDF]
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10. |
Kriegel H.-P., Kröger P., Pryakhin A., Schubert M.:
Effective and Efficient Distributed Model-based Clustering
in proc of 5th international Conference on Data Mining (ICDM 2005), Houston, TX, USA, 2005
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[PDF] |
9. |
Huang Y., Yu K., Schubert M. , Yu S. , Tresp V., Kriegel H.-P.:
Hierarchy-Regularized Latent Semantic Indexing
in proc. 5th international Conference on Data Mining (ICDM 2005), Houston, TX, USA, 2005
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[PDF] |
8. |
Kriegel H.-P., Pryakhin A., Schubert M,:
Multi-represented
kNN-Classification for Large Class Sets
in proc. 10th International Conference on Database Systems for
Advanced Applications (DASFAA 2005),
Beijing, China, 2005
|
[PDF] |
7. |
Ester M., Kriegel H.-P.,Schubert M.:
Accurate and Efficient Crawling for Relevant Websites
in proc. 30th International Conference on very large
Databases (VLDB 2004),Toronto, Canada, 2004
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[PDF] |
6. |
Kailing K., Kriegel H.-P.,Pryakhin A., Schubert M.:
Clustering Multi-Represented Objects with Noise
in proc. 8th Pacific-Asia Conference on Knowledge Discovery
and Data Mining (PAKDD 2004),
Sydney, Australia, 2004
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[PDF] |
5. |
Kriegel H.-P., Kröger P., Pryakhin A., Schubert M.:
Using Support Vector Machines for Classifying Large
Sets of Multi-Represented Objects
in proc. SIAM International. Conference on Data
Mining (SDM 2004), Lake Buena Vista, FL, USA, 2004
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[PDF] |
4. |
Kriegel H.-P., Schubert M.:
Classification of Websites as Sets of Feature Vectors
in proc. International Conference on Databases and
Applications (DBA 2004),Innsbruck, Austria, 2004
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[PDF] |
Nr |
Title |
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6. |
M. Schubert, H.-P. Kriegel:
Co-RCA: Unsupervised Distance-Learning for Multi-View Clustering
to appear at the 3rd MultiClust Workshop in conjunction with 2012 SIAM International Conference on Data Mining, Anaheim, CA, 2012
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[] |
5. |
S. Breining, H.-P. Kriegel, A. Züfle, M. Schubert:
Action Sequence Mining
ECML/PKDD Workshop on Machine Learning and Data Mining in Games, 2011
|
[] |
4. |
F. Graf, H.-P. Kriegel, S. Pölsterl, M. Schubert, A. Cavallaro
Position Prediction in CT Volume Scans
In Proceedings of the 28th International Conference on Machine Learning (ICML) Workshop on Learning for Global Challenges, Bellevue, Washington, WA, 2011.
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[] |
3. |
T. Emrich, F. Graf, H.-P. Kriegel, M. Schubert, M. Thoma:
On the Impact of Flash SSDs on Spatial Indexing
In Proceedings of the 6th International Workshop on Data Management on New Hardware (DaMoN'10), Indianapolis, IN, USA
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further information |
2. |
Lippert C., Huang Y., Weber S. H., Tresp V., Schubert M., Kriegel H.-P.:
Relation Prediction in Multi-Relational Domains using Matrix Factorization
Workshop on Structured Input - Structured Output on (NIPS 2008), Whistler, Kanada,2008
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[PDF] |
1. |
Achtert E., Kriegel H.-P.,Pryakhin A., Schubert M.:
Hierarchical Density-Based Clustering for Multi-Represented Objects
Workshop on Mining Complex Data (MCD 2005) in
con. with 5th international Conference on Data Mining (ICDM 2005), Houston, TX, USA,2005
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[PDF] |
Nr |
Title |
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9. |
A. Drachen M. Schubert:
Spatial Game Analytics
In M. S. El-Nasr, A. Drachen, A. Canossa (ed.): Game Analytics, Maximizing the Value of Player Data, Springer, 2013.
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8. |
A. Cavallaro, H.-P. Kriegel, M. Petri, M. Schubert:
Semantic Localization driven Partial Image Retrieval in CT Series
Methods of Information in Medicine, na: na, 2012.
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7. |
Kriegel H.-P., Renz M. Schubert M., Züfle A.:
Efficient Traffic Density Prediction in Road Networks
KI-Künstliche Intelligenz, Band 26/3 2012
|
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6. |
Kriegel, H.-P.,Kröger, P. ,Renz M. ,Schubert M.:
Metric spaces in data mining: applications to clustering
SIGSPATIAL Special, pp. 36-39, 2010
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5. |
Kriegel H.-P., Schubert M.:
KDD Pipeline
Encyclopedia of Database Systems, Springer, 2009
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4. |
Kriegel H.-P., Borgwardt K. M., Kröger P., Pryakhin A., Schubert M., Zimek A.:
Future Trends in Data Mining
in: Data Mining and Knowledge Discovery, DOI: 10.1007/s10618-007-0067-9, 2007
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[PDF] |
3. |
Achtert E., Böhm C., Brecheisen S., Kriegel H.-P., Kunath P., Pryakhin A., Renz M., Schubert M.:
Komplexe Objektbeschreibungen zur Suche in Multimedia-Datenbanken
in: Datenbankspektrum, Vol. 19, pp. 32-39.,2006
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[PDF] |
2. |
Brecheisen S.,Kriegel H.-P., Kröger P., Pfeifle M., Schubert M., Zimek A.:
Density-Based Data Analysis and Similarity Search
in: Petrushin V. A., Khan L. (eds.): Multimedia Data Mining and Knowledge Discovery, Springer, 2006
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1. |
Kriegel H.-P.,Kröger P., Pfeifle M., Brecheisen S.,
Pötke M., Schubert M., Seidl T.:
Similarity Search for Voxelized CAD Objects
Database Modeling for Industrial Data Management: Emerging Technologies and Applications, Idea Group Inc.
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