Hans-Peter  Kriegel
Hans-Peter Kriegel
Professor für Informatik, Ludwig-Maximilians-University Munich
Verified email at dbs.ifi.lmu.de
Title
Cited by
Cited by
Year
A density-based algorithm for discovering clusters in large spatial databases with noise.
M Ester, HP Kriegel, J Sander, X Xu
kdd 96 (34), 226-231, 1996
226171996
The R*-tree: An efficient and robust access method for points and rectangles
N Beckmann, HP Kriegel, R Schneider, B Seeger
Proceedings of the 1990 ACM SIGMOD international conference on Management of …, 1990
67831990
LOF: identifying density-based local outliers
MM Breunig, HP Kriegel, RT Ng, J Sander
Proceedings of the 2000 ACM SIGMOD international conference on Management of …, 2000
65932000
OPTICS: Ordering points to identify the clustering structure
M Ankerst, MM Breunig, HP Kriegel, J Sander
ACM Sigmod record 28 (2), 49-60, 1999
48431999
The X-tree: An index structure for high-dimensional data
S Berchtold, DA Keim, HP Kriegel
Very Large Data-Bases, 28-39, 1996
22851996
Density-based clustering in spatial databases: The algorithm gdbscan and its applications
J Sander, M Ester, HP Kriegel, X Xu
Data mining and knowledge discovery 2 (2), 169-194, 1998
16831998
A three-way model for collective learning on multi-relational data
M Nickel, V Tresp, HP Kriegel
Icml, 2011
14792011
Clustering high-dimensional data: A survey on subspace clustering, pattern-based clustering, and correlation clustering
HP Kriegel, P Kröger, A Zimek
Acm transactions on knowledge discovery from data (tkdd) 3 (1), 1-58, 2009
12782009
Efficient processing of spatial joins using R-trees
T Brinkhoff, HP Kriegel, B Seeger
ACM SIGMOD Record 22 (2), 237-246, 1993
9981993
Shortest-path kernels on graphs
KM Borgwardt, HP Kriegel
Fifth IEEE international conference on data mining (ICDM'05), 8 pp., 2005
9372005
Integrating structured biological data by kernel maximum mean discrepancy
KM Borgwardt, A Gretton, MJ Rasch, HP Kriegel, B Schölkopf, AJ Smola
Bioinformatics 22 (14), e49-e57, 2006
9192006
3D shape histograms for similarity search and classification in spatial databases
M Ankerst, G Kastenmüller, HP Kriegel, T Seidl
International symposium on spatial databases, 207-226, 1999
8461999
Protein function prediction via graph kernels
KM Borgwardt, CS Ong, S Schönauer, SVN Vishwanathan, AJ Smola, ...
Bioinformatics 21 (suppl_1), i47-i56, 2005
8172005
DBSCAN revisited, revisited: why and how you should (still) use DBSCAN
E Schubert, J Sander, M Ester, HP Kriegel, X Xu
ACM Transactions on Database Systems (TODS) 42 (3), 1-21, 2017
7902017
The pyramid-technique:towards breaking the curse of dimensionality
HPK S Berchtold,C Böhm
ACM SIGMOD Int.Conference on Management of Data 1998 (1998), 142-153, 1998
7891998
Density‐based clustering
HP Kriegel, P Kröger, J Sander, A Zimek
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 1 (3 …, 2011
7882011
Incremental generalization for mining in a data warehousing environment
M Ester, R Wittmann
International Conference on Extending Database Technology, 135-149, 1998
7481998
Incremental Clustering for Mining in a Data Warehousing Environment
XX M Esrer,HP Kriegel,J Sander,M Wimmer
Proc.24th VLDB Conference 24 (1998), 323-333, 1998
748*1998
Angle-based outlier detection in high-dimensional data
HP Kriegel, M Schubert, A Zimek
Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008
7402008
A survey on unsupervised outlier detection in high‐dimensional numerical data
A Zimek, E Schubert, HP Kriegel
Statistical Analysis and Data Mining: The ASA Data Science Journal 5 (5 …, 2012
7042012
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Articles 1–20