Jörg Sander

Orcid: 0000-0003-4068-7268

Affiliations:
  • University of Alberta, Edmonton, Canada


According to our database1, Jörg Sander authored at least 99 papers between 1996 and 2023.

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Bibliography

2023
Potential of dissimilarity measure-based computation of protein thermal stability data for determining protein interactions.
Briefings Bioinform., May, 2023

On the evaluation of outlier detection and one-class classification: a comparative study of algorithms, model selection, and ensembles.
Data Min. Knowl. Discov., 2023

ESIREOS: Efficient, Scalable, Internal, Relative Evaluation of Outliers Solutions.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

2022
Similarity-Based Unsupervised Evaluation of Outlier Detection.
Proceedings of the Similarity Search and Applications - 15th International Conference, 2022

CORE-SG: Efficient Computation of Multiple MSTs for Density-Based Methods.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021
Efficient Computation and Visualization of Multiple Density-Based Clustering Hierarchies.
IEEE Trans. Knowl. Data Eng., 2021

Hierarchical Density-Based Clustering Using MapReduce.
IEEE Trans. Big Data, 2021

2020
Density-based clustering.
WIREs Data Mining Knowl. Discov., 2020

Internal Evaluation of Unsupervised Outlier Detection.
ACM Trans. Knowl. Discov. Data, 2020

Correction to: A unified view of density-based methods for semi-supervised clustering and classification.
Data Min. Knowl. Discov., 2020

Model-Based Clustering with HDBSCAN.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2019
Multi-Aspect Review-Team Assignment using Latent Research Areas.
Inf. Process. Manag., 2019

A unified view of density-based methods for semi-supervised clustering and classification.
Data Min. Knowl. Discov., 2019

Online Stochastic Prediction of Mid-Flight Aircraft Trajectories.
Proceedings of the 12th ACM SIGSPATIAL International Workshop on Computational Transportation Science, 2019

Analyzing and visualizing the canadian research landscape.
Proceedings of the 29th Annual International Conference on Computer Science and Software Engineering, 2019

2018
MustaCHE: A Multiple Clustering Hierarchies Explorer.
Proc. VLDB Endow., 2018

A unified framework of density-based clustering for semi-supervised classification.
Proceedings of the 30th International Conference on Scientific and Statistical Database Management, 2018

A Modularity-Based Measure for Cluster Selection from Clustering Hierarchies.
Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018

2017
Density-Based Clustering.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Statistically Significant Co-location Pattern Mining.
Proceedings of the Encyclopedia of GIS., 2017

DBSCAN Revisited, Revisited: Why and How You Should (Still) Use DBSCAN.
ACM Trans. Database Syst., 2017

Efficient Computation of Multiple Density-Based Clustering Hierarchies.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016
On strategies for building effective ensembles of relative clustering validity criteria.
Knowl. Inf. Syst., 2016

On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study.
Data Min. Knowl. Discov., 2016

Finding Surprisingly Frequent Patterns of Variable Lengths in Sequence Data.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

On the Evaluation of Outlier Detection and One-Class Classification Methods.
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

Active Semi-Supervised Classification Based on Multiple Clustering Hierarchies.
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

2015
Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection.
ACM Trans. Knowl. Discov. Data, 2015

2014
Mining Statistically Significant Co-location and Segregation Patterns.
IEEE Trans. Knowl. Data Eng., 2014

Data perturbation for outlier detection ensembles.
Proceedings of the Conference on Scientific and Statistical Database Management, 2014

Mining statistically sound co-location patterns at multiple distances.
Proceedings of the Conference on Scientific and Statistical Database Management, 2014

Density-Based Clustering Validation.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Heavyweight Pattern Mining in Attributed Flow Graphs.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Model Selection for Semi-Supervised Clustering.
Proceedings of the 17th International Conference on Extending Database Technology, 2014

Active Learning Strategies for Semi-Supervised DBSCAN.
Proceedings of the Advances in Artificial Intelligence, 2014

2013
Ensembles for unsupervised outlier detection: challenges and research questions a position paper.
SIGKDD Explor., 2013

A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies.
Data Min. Knowl. Discov., 2013

Density-Based Clustering Based on Hierarchical Density Estimates.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Subsampling for efficient and effective unsupervised outlier detection ensembles.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Discovering Spatial Co-Clustering Patterns in Traffic Collision Data.
Proceedings of the CTS 2013, 2013

Detecting Statistically Significant Temporal Associations from Multiple Event Sequences.
Proceedings of the Advances in Artificial Intelligence, 2013

2012
A Simpler and More Accurate AUTO-HDS Framework for Clustering and Visualization of Biological Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

Combining gene expression and interaction network data to improve kidney lesion score prediction.
Int. J. Bioinform. Res. Appl., 2012

2011
Density-based clustering.
WIREs Data Mining Knowl. Discov., 2011

SSCP: Mining Statistically Significant Co-location Patterns.
Proceedings of the Advances in Spatial and Temporal Databases, 2011

2010
ONDOCS: Ordering Nodes to Detect Overlapping Community Structure.
Proceedings of the Data Mining for Social Network Data, 2010

Density-Based Clustering.
Proceedings of the Encyclopedia of Machine Learning, 2010

Finding the Nearest Neighbors in Biological Databases Using Less Distance Computations.
IEEE ACM Trans. Comput. Biol. Bioinform., 2010

2009
Subspace and projected clustering: experimental evaluation and analysis.
Knowl. Inf. Syst., 2009

Decomposing object-oriented class modules using an agglomerative clustering technique.
Proceedings of the 25th IEEE International Conference on Software Maintenance (ICSM 2009), 2009

Semi-supervised Density-Based Clustering.
Proceedings of the ICDM 2009, 2009

2008
Robust projected clustering.
Knowl. Inf. Syst., 2008

PIST: An Efficient and Practical Indexing Technique for Historical Spatio-Temporal Point Data.
GeoInformatica, 2008

Finding non-redundant, statistically significant regions in high dimensional data: a novel approach to projected and subspace clustering.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

2007
Efficient composite pattern finding from monad patterns.
Int. J. Bioinform. Res. Appl., 2007

Adaptive processing of historical spatial range queries in peer-to-peer sensor networks.
Distributed Parallel Databases, 2007

Effective Summarization of Multi-Dimensional Data Streams for Historical Stream Mining.
Proceedings of the 19th International Conference on Scientific and Statistical Database Management, 2007

On Join Location in Sensor Networks.
Proceedings of the 8th International Conference on Mobile Data Management (MDM 2007), 2007

2006
cisRED: a database system for genome-scale computational discovery of regulatory elements.
Nucleic Acids Res., 2006

Learning a Classification-based Glioma Growth Model Using MRI Data.
J. Comput., 2006

Speedup Clustering with Hierarchical Ranking.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

P3C: A Robust Projected Clustering Algorithm.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

A Classification-Based Glioma Diffusion Model Using MRI Data.
Proceedings of the Advances in Artificial Intelligence, 2006

2005
A methodology for analyzing SAGE libraries for cancer profiling.
ACM Trans. Inf. Syst., 2005

A Trajectory Splitting Model for Efficient Spatio-Temporal Indexing.
Proceedings of the 31st International Conference on Very Large Data Bases, Trondheim, Norway, August 30, 2005

An Analysis of Spatio-Temporal Query Processing in Sensor Networks.
Proceedings of the 21st International Conference on Data Engineering Workshops, 2005

Segmenting Brain Tumors with Conditional Random Fields and Support Vector Machines.
Proceedings of the Computer Vision for Biomedical Image Applications, 2005

Exploiting redundancy in sensor networks for energy efficient processing of spatiotemporal region queries.
Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, Bremen, Germany, October 31, 2005

2004
Incremental and Effective Data Summarization for Dynamic Hierarchical Clustering.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2004

A framework for spatio-temporal query processing over wireless sensor networks.
Proceedings of the 1st Workshop on Data Management for Sensor Networks, 2004

2003
Analysis of SIGMOD's Co-Authorship Graph.
SIGMOD Rec., 2003

Focused Co-citation: Improving the Retrieval of Related Pages on the Web.
Proceedings of the Twelfth International World Wide Web Conference - Posters, 2003

Data Bubbles for Non-Vector Data: Speeding-up Hierarchical Clustering in Arbitrary Metric Spaces.
Proceedings of 29th International Conference on Very Large Data Bases, 2003

Automatic Extraction of Clusters from Hierarchical Clustering Representations.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

Efficient Indexing of High Dimensional Normalized Histograms.
Proceedings of the Database and Expert Systems Applications, 14th International Conference, 2003

2001
Multiple Similarity Queries: A Basic DBMS Operation for Mining in Metric Databases.
IEEE Trans. Knowl. Data Eng., 2001

Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering.
Proceedings of the 2001 ACM SIGMOD international conference on Management of data, 2001

Hierarchical cluster analysis of SAGE data for cancer profiling.
Proceedings of the ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2001), 2001

2000
Spatial Data Mining: Database Primitives, Algorithms and Efficient DBMS Support.
Data Min. Knowl. Discov., 2000

LOF: Identifying Density-Based Local Outliers.
Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, 2000

Fast Hierarchical Clustering Based on Compressed Data and OPTICS.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

Efficiently Supporting Multiple Similarity Queries for Mining in Metric Databases.
Proceedings of the 16th International Conference on Data Engineering, San Diego, California, USA, February 28, 2000

Independent Quantization: An Index Compression Technique for High-Dimensional Data Spaces.
Proceedings of the 16th International Conference on Data Engineering, San Diego, California, USA, February 28, 2000

Knowledge Discovery in Databases - Techniken und Anwendungen
Springer, ISBN: 3-540-67328-8, 2000

1999
Generalized density based clustering for spatial data mining.
PhD thesis, 1999

Generalized Density-Based Clustering for Spatial Data Mining (Abstract).
Datenbank Rundbr., 1999

Towards the qualitative, plan-based simulation of international crises.
Eur. J. Oper. Res., 1999

OPTICS: Ordering Points To Identify the Clustering Structure.
Proceedings of the SIGMOD 1999, 1999

OPTICS-OF: Identifying Local Outliers.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1999

Knowledge Discovery in Spatial Databases.
Proceedings of the KI-99: Advances in Artificial Intelligence, 1999

Database Primitives for Spatial Data Mining.
Proceedings of the Datenbanksysteme in Büro, 1999

1998
Clustering for Mining in Large Spatial Databases.
Künstliche Intell., 1998

Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications.
Data Min. Knowl. Discov., 1998

Incremental Clustering for Mining in a Data Warehousing Environment.
Proceedings of the VLDB'98, 1998

Algorithms for Characterization and Trend Detection in Spatial Databases.
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

A Distribution-Based Clustering Algorithm for Mining in Large Spatial Databases.
Proceedings of the Fourteenth International Conference on Data Engineering, 1998

1997
Spatial Data Mining: A Database Approach.
Proceedings of the Advances in Spatial Databases, 1997

Density-Connected Sets and their Application for Trend Detection in Spatial Databases.
Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), 1997

1996
A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise.
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996


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