Hans-Peter Kriegel
80 publications
13 venues
h-Index 47
Google's h-Index 98
Affiliation
Ludwig Maximilian University of Munich, GermanyLinks
DBLPGoogle Scholar
- https://www.dbs.ifi.lmu.de/cms/personen/professoren/kriegel/index.html
- https://dl.acm.org/profile/81100512920
- https://zbmath.org/authors/?q=ai:kriegel.hans-peter
- https://mathgenealogy.org/id.php?id=29317
- https://en.wikipedia.org/wiki/Hans-Peter_Kriegel
- https://www.wikidata.org/entity/Q92919
- https://viaf.org/viaf/67046800
- https://id.loc.gov/authorities/names/no2010038558
- https://d-nb.info/gnd/109156366
- https://d-nb.info/gnd/1144653541
- https://mathscinet.ams.org/mathscinet/MRAuthorID/106630
Additional Information
Achievements
2023 - Research.com Computer Science in Germany Leader Award2022 - Research.com Computer Science in Germany Leader Award
2009 - ACM FellowFor contributions to knowledge discovery and data mining, similarity search, spatial data management, and access methods for high-dimensional data.
Google Citations
85673| Name | Venue | Year | citations |
|---|---|---|---|
SigniTrend: scalable detection of emerging topics in textual streams by hashed significance thresholds.
|
KDD | 2014 | 92 |
| "Strength Lies in Differences": Diversifying Friends for Recommendations through Subspace Clustering.
|
CIKM | 2014 | 40 |
| Generalized Outlier Detection with Flexible Kernel Density Estimates.
|
SDM | 2014 | 145 |
| Local outlier detection reconsidered: a generalized view on locality with applications to spatial, video, and network outlier detection.
|
DMKD | 2014 | 0 |
| Scalable Relation Prediction Exploiting Both Intrarelational Correlation and Contextual Information.
|
ECML/PKDD | 2012 | 3 |
| Exploration of monte-carlo based probabilistic query processing in uncertain graphs.
|
CIKM | 2012 | 6 |
| Factorizing YAGO: scalable machine learning for linked data.
|
WWW | 2012 | 407 |
| Density-based Projected Clustering over High Dimensional Data Streams.
|
SDM | 2012 | 111 |
| On Evaluation of Outlier Rankings and Outlier Scores.
|
SDM | 2012 | 159 |
| Indexing uncertain spatio-temporal data.
|
CIKM | 2012 | 32 |
| Probabilistic ranking in fuzzy object databases.
|
CIKM | 2012 | 6 |
| Outlier Detection in Arbitrarily Oriented Subspaces.
|
ICDM | 2012 | 108 |
| Interpreting and Unifying Outlier Scores.
|
SDM | 2011 | 238 |
| A Three-Way Model for Collective Learning on Multi-Relational Data.
|
ICML | 2011 | 1674 |
| Multivariate Prediction for Learning on the Semantic Web.
|
ILP | 2010 | 36 |
| Digging for knowledge with information extraction: a case study on human gene-disease associations.
|
CIKM | 2010 | 6 |
| Probabilistic frequent itemset mining in uncertain databases.
|
KDD | 2009 | 311 |
| Near-optimal Supervised Feature Selection among Frequent Subgraphs.
|
SDM | 2009 | 119 |
| Hierarchical Bayesian Models for Collaborative Tagging Systems.
|
ICDM | 2009 | 51 |
| Hot Item Detection in Uncertain Data.
|
PAKDD | 2009 | 5 |
| Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data.
|
PAKDD | 2009 | 252 |
| LoOP: local outlier probabilities.
|
CIKM | 2009 | 460 |
| OSSOBOOK: database and knowledgemanagement techniques for archaeozoology.
|
CIKM | 2009 | 3 |
| Angle-based outlier detection in high-dimensional data.
|
KDD | 2008 | 679 |
| Metropolis Algorithms for Representative Subgraph Sampling.
|
ICDM | 2008 | 156 |
| Statistical Density Prediction in Traffic Networks.
|
SDM | 2008 | 52 |
| Robust, Complete, and Efficient Correlation Clustering.
|
SDM | 2007 | 70 |
| Future trends in data mining.
|
DMKD | 2007 | 196 |
| Browsing and Sorting Digital Pictures Using Automatic Image Classification and Quality Analysis.
|
HCI | 2007 | 18 |
| Spiral Recurrent Neural Network for Online Learning.
|
ESANN | 2007 | 13 |
| Multi-represented Classification Based on Confidence Estimation.
|
PAKDD | 2007 | 8 |
| Parallel Density-Based Clustering of Complex Objects.
|
PAKDD | 2006 | 58 |
| Collaborative ordinal regression.
|
ICML | 2006 | 59 |
| Supervised probabilistic principal component analysis.
|
KDD | 2006 | 165 |
| Advanced Prototype Machines: Exploring Prototypes for Classification.
|
SDM | 2006 | 2 |
| Deriving quantitative models for correlation clusters.
|
KDD | 2006 | 40 |
| Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures.
|
ECML/PKDD | 2006 | 5 |
| Pattern Mining in Frequent Dynamic Subgraphs.
|
ICDM | 2006 | 150 |
| An EM-Approach for Clustering Multi-Instance Objects.
|
PAKDD | 2006 | 24 |
| Clustering Multi-represented Objects Using Combination Trees.
|
PAKDD | 2006 | 10 |
| COSMIC: Conceptually Specified Multi-Instance Clusters.
|
ICDM | 2006 | 5 |
| 3DString: a feature string kernel for 3D object classification on voxelized data.
|
CIKM | 2006 | 11 |
| Infinite Hidden Relational Models.
|
UAI | 2006 | 191 |
| Finding Hierarchies of Subspace Clusters.
|
ECML/PKDD | 2006 | 59 |
| Hierarchy-Regularized Latent Semantic Indexing.
|
ICDM | 2005 | 1 |
| Effective and Efficient Distributed Model-Based Clustering.
|
ICDM | 2005 | 35 |
| Efficient and effective server-sided distributed clustering.
|
CIKM | 2005 | 1 |
| Hierarchical Density-Based Clustering of Uncertain Data.
|
ICDM | 2005 | 166 |
| Shortest-Path Kernels on Graphs.
|
ICDM | 2005 | 865 |
| A Generic Framework for Efficient Subspace Clustering of High-Dimensional Data.
|
ICDM | 2005 | 174 |
| A Probabilistic Clustering-Projection Model for Discrete Data.
|
ECML/PKDD | 2005 | 8 |
| Approximated Clustering of Distributed High-Dimensional Data.
|
PAKDD | 2005 | 20 |
| Density-based clustering of uncertain data.
|
KDD | 2005 | 355 |
| Dirichlet enhanced relational learning.
|
ICML | 2005 | 23 |
| Online Hierarchical Clustering in a Data Warehouse Environment.
|
ICDM | 2005 | 23 |
| Scalable Density-Based Distributed Clustering.
|
ECML/PKDD | 2004 | 129 |
| Clustering Multi-represented Objects with Noise.
|
PAKDD | 2004 | 78 |
| Visually Mining through Cluster Hierarchies.
|
SDM | 2004 | 44 |
| Density Connected Clustering with Local Subspace Preferences.
|
ICDM | 2004 | 184 |
| Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects.
|
SDM | 2004 | 29 |
| Subspace Selection for Clustering High-Dimensional Data.
|
ICDM | 2004 | 75 |
| Density-Connected Subspace Clustering for High-Dimensional Data.
|
SDM | 2004 | 443 |
| Efficient Density-Based Clustering of Complex Objects.
|
ICDM | 2004 | 30 |
| Ranking Interesting Subspaces for Clustering High Dimensional Data.
|
ECML/PKDD | 2003 | 83 |
| Removing redundancy and inconsistency in memory-based collaborative filtering.
|
CIKM | 2002 | 5 |
| Instance Selection Techniques for Memory-based Collaborative Filtering.
|
SDM | 2002 | 62 |
| Web site mining: a new way to spot competitors, customers and suppliers in the world wide web.
|
KDD | 2002 | 93 |
| Selecting Relevant Instances for Efficient and Accurate Collaborative Filtering.
|
CIKM | 2001 | 27 |
| High Performance Clustering Based on the Similarity Join.
|
CIKM | 2000 | 68 |
| Spatial Data Mining: Database Primitives, Algorithms and Efficient DBMS Support.
|
DMKD | 2000 | 187 |
| Towards an effective cooperation of the user and the computer for classification.
|
KDD | 2000 | 153 |
| Fast Hierarchical Clustering Based on Compressed Data and OPTICS.
|
ECML/PKDD | 2000 | 33 |
| OPTICS-OF: Identifying Local Outliers.
|
ECML/PKDD | 1999 | 193 |
| Visual Classification: An Interactive Approach to Decision Tree Construction.
|
KDD | 1999 | 213 |
| A Fast Parallel Clustering Algorithm for Large Spatial Databases.
|
DMKD | 1999 | 313 |
| Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications.
|
DMKD | 1998 | 1284 |
| Algorithms for Characterization and Trend Detection in Spatial Databases.
|
KDD | 1998 | 148 |
| Density-Connected Sets and their Application for Trend Detection in Spatial Databases.
|
KDD | 1997 | 65 |
| A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise.
|
KDD | 1996 | 19888 |
| A Database Interface for Clustering in Large Spatial Databases.
|
KDD | 1995 | 157 |