List of works - Hans-Peter Kriegel

2D image registration in CT images using radial image descriptors

scientific article published on 01 January 2011

3D Shape Histograms for Similarity Search and Classification in Spatial Databases

3DString

A General Framework for Increasing the Robustness of PCA-Based Correlation Clustering Algorithms

scholarly article published in Lecture Notes in Computer Science

A Generic Framework for Efficient Subspace Clustering of High-Dimensional Data

A Three-Way Model for Collective Learning on Multi-Relational Data ⬇️

scientific article

A survey on unsupervised outlier detection in high-dimensional numerical data

article by Arthur Zimek et al published 27 August 2012 in Statistical Analysis and Data Mining

Angle-based outlier detection in high-dimensional data

scholarly article published 2008

Can Shared-Neighbor Distances Defeat the Curse of Dimensionality?

Class prediction from time series gene expression profiles using dynamical systems kernels.

scientific article published in January 2006

Clustering high-dimensional data

article by Hans-Peter Kriegel et al published 1 March 2009 in ACM Transactions on Knowledge Discovery from Data

DBSCAN Revisited, Revisited: Why and How You Should (Still) Use DBSCAN

Density Based Subspace Clustering over Dynamic Data

Density Connected Clustering with Local Subspace Preferences

Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications

Density-Connected Subspace Clustering for High-Dimensional Data

Density-based Projected Clustering over High Dimensional Data Streams

Density-based clustering

Deriving quantitative models for correlation clusters

Detection and Visualization of Subspace Cluster Hierarchies

scholarly article

Digging for knowledge with information extraction

Discriminative frequent subgraph mining with optimality guarantees

article

ELKI in Time: ELKI 0.2 for the Performance Evaluation of Distance Measures for Time Series

ELKI: A Software System for Evaluation of Subspace Clustering Algorithms

scholarly article published in Lecture Notes in Computer Science

Efficient processing of spatial joins using R-trees

Evaluation of Clusterings -- Metrics and Visual Support

Extraction of semantic biomedical relations from text using conditional random fields

scientific article (publication date: 23 April 2008)

Factorizing YAGO

scientific article (publication date: 2012)

Fast and Scalable Outlier Detection with Approximate Nearest Neighbor Ensembles

Finding Hierarchies of Subspace Clusters

Future trends in data mining

scholarly article by Hans-Peter Kriegel et al published 23 March 2007 in Data Mining and Knowledge Discovery

Generalized Outlier Detection with Flexible Kernel Density Estimates

article

Geodetic Distance Queries on R-Trees for Indexing Geographic Data

article

Graph kernels for disease outcome prediction from protein-protein interaction networks

scientific article published on 01 January 2007

Integrating structured biological data by Kernel Maximum Mean Discrepancy

scientific article

Interactive data mining with 3D-parallel-coordinate-trees

scholarly article published 2013

Interpreting and Unifying Outlier Scores

scientific article (publication date: 28 April 2011)

LOF: identifying density-based local outliers

scientific article (publication date: June 2000)

LoOP

scholarly article (2009)

Local outlier detection reconsidered: a generalized view on locality with applications to spatial, video, and network outlier detection

scientific article (publication date: 18 December 2012)

Managing uncertain spatio-temporal data

Maximum Gain Round Trips with Cost Constraints ⬇️

journal article from 'arXiv:1105.0830 [physics]' published in 2011

Metropolis Algorithms for Representative Subgraph Sampling

scholarly article published December 2008

Near-optimal supervised feature selection among frequent subgraphs

article

OPTICS-OF: Identifying Local Outliers

On Evaluation of Outlier Rankings and Outlier Scores

article published in 2012

On Exploring Complex Relationships of Correlation Clusters

Outlier Detection in Arbitrarily Oriented Subspaces

scientific article (publication date: December 2012)

Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data

scientific article (publication date: 2009)

PAROS: Pareto Optimal Route Selection ⬇️

conference paper from 'Proceedings of the 2010 ACM SIGMOD International Conference on Management of Data' published in 2010

Probabilistic nearest neighbor queries on uncertain moving object trajectories

Protein function prediction via graph kernels

scientific article published in June 2005

Quality of Similarity Rankings in Time Series

Robust, Complete, and Efficient Correlation Clustering

scholarly article published 26 April 2007

SigniTrend

Similarity Search in Time Series of Dynamical Model-based Systems

Similarity Search on Uncertain Spatio-temporal Data

Spatial Outlier Detection: Data, Algorithms, Visualizations

scholarly article by Elke Achtert et al published 2011 in Lecture Notes in Computer Science

Subspace Similarity Search: Efficient k-NN Queries in Arbitrary Subspaces

Subspace and projected clustering: experimental evaluation and analysis

article

Subspace clustering

Subspace similarity search using the ideas of ranking and top-k retrieval

Supervised ensembles of prediction methods for subcellular localization

scientific article published on April 2009

List of works by Hans-Peter Kriegel

2D image registration in CT images using radial image descriptors

3D Shape Histograms for Similarity Search and Classification in Spatial Databases

3DString

A General Framework for Increasing the Robustness of PCA-Based Correlation Clustering Algorithms

A Generic Framework for Efficient Subspace Clustering of High-Dimensional Data

A Three-Way Model for Collective Learning on Multi-Relational Data ⬇️

A survey on unsupervised outlier detection in high-dimensional numerical data

Angle-based outlier detection in high-dimensional data

Can Shared-Neighbor Distances Defeat the Curse of Dimensionality?

Class prediction from time series gene expression profiles using dynamical systems kernels.

Clustering high-dimensional data

DBSCAN Revisited, Revisited: Why and How You Should (Still) Use DBSCAN

Density Based Subspace Clustering over Dynamic Data

Density Connected Clustering with Local Subspace Preferences

Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications

Density-Connected Subspace Clustering for High-Dimensional Data

Density-based Projected Clustering over High Dimensional Data Streams

Density-based clustering

Deriving quantitative models for correlation clusters

Detection and Visualization of Subspace Cluster Hierarchies

Digging for knowledge with information extraction

Discriminative frequent subgraph mining with optimality guarantees

ELKI in Time: ELKI 0.2 for the Performance Evaluation of Distance Measures for Time Series

ELKI: A Software System for Evaluation of Subspace Clustering Algorithms

Efficient processing of spatial joins using R-trees

Evaluation of Clusterings -- Metrics and Visual Support

Extraction of semantic biomedical relations from text using conditional random fields

Factorizing YAGO

Fast and Scalable Outlier Detection with Approximate Nearest Neighbor Ensembles

Finding Hierarchies of Subspace Clusters

Future trends in data mining

Generalized Outlier Detection with Flexible Kernel Density Estimates

Geodetic Distance Queries on R-Trees for Indexing Geographic Data

Graph kernels for disease outcome prediction from protein-protein interaction networks

Integrating structured biological data by Kernel Maximum Mean Discrepancy

Interactive data mining with 3D-parallel-coordinate-trees

Interpreting and Unifying Outlier Scores

LOF: identifying density-based local outliers

LoOP

Local outlier detection reconsidered: a generalized view on locality with applications to spatial, video, and network outlier detection

Managing uncertain spatio-temporal data

Maximum Gain Round Trips with Cost Constraints ⬇️

Metropolis Algorithms for Representative Subgraph Sampling

Near-optimal supervised feature selection among frequent subgraphs

OPTICS-OF: Identifying Local Outliers

On Evaluation of Outlier Rankings and Outlier Scores

On Exploring Complex Relationships of Correlation Clusters

Outlier Detection in Arbitrarily Oriented Subspaces

Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data

PAROS: Pareto Optimal Route Selection ⬇️

Probabilistic nearest neighbor queries on uncertain moving object trajectories

Protein function prediction via graph kernels

Quality of Similarity Rankings in Time Series

Robust, Complete, and Efficient Correlation Clustering

SigniTrend

Similarity Search in Time Series of Dynamical Model-based Systems

Similarity Search on Uncertain Spatio-temporal Data

Spatial Outlier Detection: Data, Algorithms, Visualizations

Subspace Similarity Search: Efficient k-NN Queries in Arbitrary Subspaces

Subspace and projected clustering: experimental evaluation and analysis

Subspace clustering

Subspace similarity search using the ideas of ranking and top-k retrieval

Supervised ensembles of prediction methods for subcellular localization

The (black) art of runtime evaluation: Are we comparing algorithms or implementations?

The R*-tree: an efficient and robust access method for points and rectangles

Visual Evaluation of Outlier Detection Models