Jörg Sander

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Potential of dissimilarity measure-based computation of protein thermal stability data for determining protein interactions.

Joshua Teitz, Jörg Sander, Hassan Sarker, Carlos Fernandez-Patron

Briefings Bioinform., May, 2023

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

Henrique O. Marques, Lorne Swersky, Jörg Sander, Ricardo J. G. B. Campello, Arthur Zimek

Data Min. Knowl. Discov., 2023

ESIREOS: Efficient, Scalable, Internal, Relative Evaluation of Outliers Solutions.

William A. Alves, Henrique O. Marques, Murilo Coelho Naldi, Jörg Sander

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

2022

Similarity-Based Unsupervised Evaluation of Outlier Detection.

Henrique O. Marques, Arthur Zimek, Ricardo J. G. B. Campello, Jörg Sander

Proceedings of the Similarity Search and Applications - 15th International Conference, 2022

CORE-SG: Efficient Computation of Multiple MSTs for Density-Based Methods.

Antônio Cavalcante Araújo Neto, Murilo Coelho Naldi, Ricardo J. G. B. Campello, Jörg Sander

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Efficient Computation and Visualization of Multiple Density-Based Clustering Hierarchies.

Antônio Cavalcante Araújo Neto, Jörg Sander, Ricardo J. G. B. Campello, Mario A. Nascimento

IEEE Trans. Knowl. Data Eng., 2021

Hierarchical Density-Based Clustering Using MapReduce.

Joelson Antônio dos Santos, Syed Talat Iqbal, Murilo Coelho Naldi, Ricardo J. G. B. Campello, Joerg Sander

IEEE Trans. Big Data, 2021

2020

Density-based clustering.

Ricardo J. G. B. Campello, Peer Kröger, Jörg Sander, Arthur Zimek

WIREs Data Mining Knowl. Discov., 2020

Internal Evaluation of Unsupervised Outlier Detection.

Henrique O. Marques, Ricardo J. G. B. Campello, Jörg Sander, Arthur Zimek

ACM Trans. Knowl. Discov. Data, 2020

Correction to: A unified view of density-based methods for semi-supervised clustering and classification.

Jadson Castro Gertrudes, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello

Data Min. Knowl. Discov., 2020

Model-Based Clustering with HDBSCAN.

Michael Strobl, Jörg Sander, Ricardo J. G. B. Campello, Osmar R. Zaïane

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2019

Multi-Aspect Review-Team Assignment using Latent Research Areas.

Maryam Mirzaei, Jörg Sander, Eleni Stroulia

Inf. Process. Manag., 2019

A unified view of density-based methods for semi-supervised clustering and classification.

Jadson Castro Gertrudes, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello

Data Min. Knowl. Discov., 2019

Online Stochastic Prediction of Mid-Flight Aircraft Trajectories.

Yongzhen Arthur Pan, Mario A. Nascimento, Joerg Sander

Proceedings of the 12th ACM SIGSPATIAL International Workshop on Computational Transportation Science, 2019

Analyzing and visualizing the canadian research landscape.

Victor N. Silva, Ashley Herman, Maryam Mirzaei, Elisa Du, Bowen Hu, Lianne M. Lefsrud, Jörg Sander, Eleni Stroulia, Monica Sawchyn

Proceedings of the 29th Annual International Conference on Computer Science and Software Engineering, 2019

2018

MustaCHE: A Multiple Clustering Hierarchies Explorer.

Antônio C. Araújo Neto, Mario A. Nascimento, Jörg Sander, Ricardo J. G. B. Campello

Proc. VLDB Endow., 2018

A unified framework of density-based clustering for semi-supervised classification.

Jadson Castro Gertrudes, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello

Proceedings of the 30th International Conference on Scientific and Statistical Database Management, 2018

A Modularity-Based Measure for Cluster Selection from Clustering Hierarchies.

Francisco de Assis Rodrigues dos Anjos, Jadson Castro Gertrudes, Jörg Sander, Ricardo J. G. B. Campello

Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018

2017

Density-Based Clustering.

Jörg Sander

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Statistically Significant Co-location Pattern Mining.

Sajib Barua, Jörg Sander

Proceedings of the Encyclopedia of GIS., 2017

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

Erich Schubert, Jörg Sander, Martin Ester, Hans-Peter Kriegel, Xiaowei Xu

ACM Trans. Database Syst., 2017

Efficient Computation of Multiple Density-Based Clustering Hierarchies.

Antônio Cavalcante Araújo Neto, Jörg Sander, Ricardo J. G. B. Campello, Mario A. Nascimento

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016

On strategies for building effective ensembles of relative clustering validity criteria.

Pablo A. Jaskowiak, Davoud Moulavi, Antonio C. S. Furtado, Ricardo J. G. B. Campello, Arthur Zimek, Jörg Sander

Knowl. Inf. Syst., 2016

On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study.

Guilherme Oliveira Campos, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello, Barbora Micenková, Erich Schubert, Ira Assent, Michael E. Houle

Data Min. Knowl. Discov., 2016

Finding Surprisingly Frequent Patterns of Variable Lengths in Sequence Data.

Reza Sadoddin, Jörg Sander, Davood Rafiei

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

On the Evaluation of Outlier Detection and One-Class Classification Methods.

Lorne Swersky, Henrique O. Marques, Jörg Sander, Ricardo J. G. B. Campello, Arthur Zimek

Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

Active Semi-Supervised Classification Based on Multiple Clustering Hierarchies.

Antonio J. L. Batista, Ricardo J. G. B. Campello, Jörg Sander

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.

Ricardo J. G. B. Campello, Davoud Moulavi, Arthur Zimek, Jörg Sander

ACM Trans. Knowl. Discov. Data, 2015

2014

Mining Statistically Significant Co-location and Segregation Patterns.

Sajib Barua, Jörg Sander

IEEE Trans. Knowl. Data Eng., 2014

Data perturbation for outlier detection ensembles.

Arthur Zimek, Ricardo J. G. B. Campello, Jörg Sander

Proceedings of the Conference on Scientific and Statistical Database Management, 2014

Mining statistically sound co-location patterns at multiple distances.

Sajib Barua, Jörg Sander

Proceedings of the Conference on Scientific and Statistical Database Management, 2014

Density-Based Clustering Validation.

Davoud Moulavi, Pablo A. Jaskowiak, Ricardo J. G. B. Campello, Arthur Zimek, Jörg Sander

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Heavyweight Pattern Mining in Attributed Flow Graphs.

Carolina Simoes Gomes, José Nelson Amaral, Jörg Sander, Joran Siu, Li Ding

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Model Selection for Semi-Supervised Clustering.

Mojgan Pourrajabi, Davoud Moulavi, Ricardo J. G. B. Campello, Arthur Zimek, Jörg Sander, Randy Goebel

Proceedings of the 17th International Conference on Extending Database Technology, 2014

Active Learning Strategies for Semi-Supervised DBSCAN.

Jundong Li, Jörg Sander, Ricardo J. G. B. Campello, Arthur Zimek

Proceedings of the Advances in Artificial Intelligence, 2014

2013

Ensembles for unsupervised outlier detection: challenges and research questions a position paper.

Arthur Zimek, Ricardo J. G. B. Campello, Jörg Sander

SIGKDD Explor., 2013

A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies.

Ricardo J. G. B. Campello, Davoud Moulavi, Arthur Zimek, Jörg Sander

Data Min. Knowl. Discov., 2013

Density-Based Clustering Based on Hierarchical Density Estimates.

Ricardo J. G. B. Campello, Davoud Moulavi, Jörg Sander

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Subsampling for efficient and effective unsupervised outlier detection ensembles.

Arthur Zimek, Matthew Gaudet, Ricardo J. G. B. Campello, Jörg Sander

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Discovering Spatial Co-Clustering Patterns in Traffic Collision Data.

Dapeng Li, Jörg Sander, Mario A. Nascimento, Dae-Won Kwon

Proceedings of the CTS 2013, 2013

Detecting Statistically Significant Temporal Associations from Multiple Event Sequences.

Han Liang, Jörg Sander

Proceedings of the Advances in Artificial Intelligence, 2013

2012

A Simpler and More Accurate AUTO-HDS Framework for Clustering and Visualization of Biological Data.

Ricardo J. G. B. Campello, Davoud Moulavi, Jörg Sander

IEEE ACM Trans. Comput. Biol. Bioinform., 2012

Combining gene expression and interaction network data to improve kidney lesion score prediction.

Davoud Moulavi, Mohsen Hajiloo, Jörg Sander, Philip F. Halloran, Russell Greiner

Int. J. Bioinform. Res. Appl., 2012

2011

Density-based clustering.

Hans-Peter Kriegel, Peer Kröger, Jörg Sander, Arthur Zimek

WIREs Data Mining Knowl. Discov., 2011

SSCP: Mining Statistically Significant Co-location Patterns.

Sajib Barua, Jörg Sander

Proceedings of the Advances in Spatial and Temporal Databases, 2011

2010

ONDOCS: Ordering Nodes to Detect Overlapping Community Structure.

Jiyang Chen, Osmar R. Zaïane, Jörg Sander, Randy Goebel

Proceedings of the Data Mining for Social Network Data, 2010

Density-Based Clustering.

Jörg Sander

Proceedings of the Encyclopedia of Machine Learning, 2010

Finding the Nearest Neighbors in Biological Databases Using Less Distance Computations.

Jianjun Zhou, Jörg Sander, Zhipeng Cai, Lusheng Wang, Guohui Lin

IEEE ACM Trans. Comput. Biol. Bioinform., 2010

2009

Subspace and projected clustering: experimental evaluation and analysis.

Gabriela Moise, Arthur Zimek, Peer Kröger, Hans-Peter Kriegel, Jörg Sander

Knowl. Inf. Syst., 2009

Decomposing object-oriented class modules using an agglomerative clustering technique.

Marios Fokaefs, Nikolaos Tsantalis, Alexander Chatzigeorgiou, Jörg Sander

Proceedings of the 25th IEEE International Conference on Software Maintenance (ICSM 2009), 2009

Semi-supervised Density-Based Clustering.

Levi Lelis, Jörg Sander

Proceedings of the ICDM 2009, 2009

2008

Robust projected clustering.

Gabriela Moise, Jörg Sander, Martin Ester

Knowl. Inf. Syst., 2008

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

Viorica Botea, Daniel Mallett, Mario A. Nascimento, Jörg Sander

GeoInformatica, 2008

Finding non-redundant, statistically significant regions in high dimensional data: a novel approach to projected and subspace clustering.

Gabriela Moise, Jörg Sander

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

2007

Efficient composite pattern finding from monad patterns.

Jianjun Zhou, Jörg Sander, Guohui Lin

Int. J. Bioinform. Res. Appl., 2007

Adaptive processing of historical spatial range queries in peer-to-peer sensor networks.

Alexandru Coman, Jörg Sander, Mario A. Nascimento

Distributed Parallel Databases, 2007

Effective Summarization of Multi-Dimensional Data Streams for Historical Stream Mining.

Samer Nassar, Jörg Sander

Proceedings of the 19th International Conference on Scientific and Statistical Database Management, 2007

On Join Location in Sensor Networks.

Alexandru Coman, Mario A. Nascimento, Jörg Sander

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.

Gordon Robertson, Misha Bilenky, Keven Lin, An He, W. Yuen, M. Dagpinar, Richard Varhol, Kevin Teague, Obi L. Griffith, X. Zhang, Y. Pan, Maik Hassel, Monica C. Sleumer, W. Pan, Erin Pleasance, M. Chuang, H. Hao, Yvonne Y. Li, Neil Robertson, C. Fjell, Bernard Li, Stephen B. Montgomery, Tamara Astakhova, Jianjun Zhou, Jörg Sander, Asim S. Siddiqui, Steven J. M. Jones

Nucleic Acids Res., 2006

Learning a Classification-based Glioma Growth Model Using MRI Data.

Marianne Morris, Russell Greiner, Jörg Sander, Albert Murtha, Mark Schmidt

J. Comput., 2006

Speedup Clustering with Hierarchical Ranking.

Jianjun Zhou, Jörg Sander

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

P3C: A Robust Projected Clustering Algorithm.

Gabriela Moise, Jörg Sander, Martin Ester

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

A Classification-Based Glioma Diffusion Model Using MRI Data.

Marianne Morris, Russell Greiner, Jörg Sander, Albert Murtha, Mark Schmidt

Proceedings of the Advances in Artificial Intelligence, 2006

2005

A methodology for analyzing SAGE libraries for cancer profiling.

Jörg Sander, Raymond T. Ng, Monica C. Sleumer, Man Saint Yuen, Steven J. M. Jones

ACM Trans. Inf. Syst., 2005

A Trajectory Splitting Model for Efficient Spatio-Temporal Indexing.

Slobodan Rasetic, Jörg Sander, James Elding, Mario A. Nascimento

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.

Alexandru Coman, Jörg Sander, Mario A. Nascimento

Proceedings of the 21st International Conference on Data Engineering Workshops, 2005

Segmenting Brain Tumors with Conditional Random Fields and Support Vector Machines.

Chi-Hoon Lee, Mark Schmidt, Albert Murtha, Aalo Bistritz, Jörg Sander, Russell Greiner

Proceedings of the Computer Vision for Biomedical Image Applications, 2005

Exploiting redundancy in sensor networks for energy efficient processing of spatiotemporal region queries.

Alexandru Coman, Mario A. Nascimento, Jörg Sander

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.

Samer Nassar, Jörg Sander, Corrine Cheng

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2004

A framework for spatio-temporal query processing over wireless sensor networks.

Alexandru Coman, Mario A. Nascimento, Jörg Sander

Proceedings of the 1st Workshop on Data Management for Sensor Networks, 2004

2003

Analysis of SIGMOD's Co-Authorship Graph.

Mario A. Nascimento, Jörg Sander, Jeffrey Pound

SIGMOD Rec., 2003

Focused Co-citation: Improving the Retrieval of Related Pages on the Web.

Gabriela Moise, Jörg Sander, Davood Rafiei

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.

Jianjun Zhou, Jörg Sander

Proceedings of 29th International Conference on Very Large Data Bases, 2003

Automatic Extraction of Clusters from Hierarchical Clustering Representations.

Jörg Sander, Xuejie Qin, Zhiyong Lu, Nan Niu, Alex Kovarsky

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

Efficient Indexing of High Dimensional Normalized Histograms.

Alexandru Coman, Jörg Sander, Mario A. Nascimento

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.

Bernhard Braunmüller, Martin Ester, Hans-Peter Kriegel, Jörg Sander

IEEE Trans. Knowl. Data Eng., 2001

Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering.

Markus M. Breunig, Hans-Peter Kriegel, Peer Kröger, Jörg Sander

Proceedings of the 2001 ACM SIGMOD international conference on Management of data, 2001

Hierarchical cluster analysis of SAGE data for cancer profiling.

Raymond T. Ng, Jörg Sander, Monica C. Sleumer

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.

Martin Ester, Alexander Frommelt, Hans-Peter Kriegel, Jörg Sander

Data Min. Knowl. Discov., 2000

LOF: Identifying Density-Based Local Outliers.

Markus M. Breunig, Hans-Peter Kriegel, Raymond T. Ng, Jörg Sander

Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, 2000

Fast Hierarchical Clustering Based on Compressed Data and OPTICS.

Markus M. Breunig, Hans-Peter Kriegel, Jörg Sander

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

Efficiently Supporting Multiple Similarity Queries for Mining in Metric Databases.

Bernhard Braunmüller, Martin Ester, Hans-Peter Kriegel, Jörg Sander

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.

Stefan Berchtold, Christian Böhm, H. V. Jagadish, Hans-Peter Kriegel, Jörg Sander

Proceedings of the 16th International Conference on Data Engineering, San Diego, California, USA, February 28, 2000

Knowledge Discovery in Databases - Techniken und Anwendungen

Martin Ester, Jörg Sander

Springer, ISBN: 3-540-67328-8, 2000

1999

Generalized density based clustering for spatial data mining.

Jörg Sander

PhD thesis, 1999

Generalized Density-Based Clustering for Spatial Data Mining (Abstract).

Jörg Sander

Datenbank Rundbr., 1999

Towards the qualitative, plan-based simulation of international crises.

Wolfgang Balzer, Jörg Sander

Eur. J. Oper. Res., 1999

OPTICS: Ordering Points To Identify the Clustering Structure.

Mihael Ankerst, Markus M. Breunig, Hans-Peter Kriegel, Jörg Sander

Proceedings of the SIGMOD 1999, 1999

OPTICS-OF: Identifying Local Outliers.

Markus M. Breunig, Hans-Peter Kriegel, Raymond T. Ng, Jörg Sander

Proceedings of the Principles of Data Mining and Knowledge Discovery, 1999

Knowledge Discovery in Spatial Databases.

Martin Ester, Hans-Peter Kriegel, Jörg Sander

Proceedings of the KI-99: Advances in Artificial Intelligence, 1999

Database Primitives for Spatial Data Mining.

Martin Ester, Stefan Grundlach, Hans-Peter Kriegel, Jörg Sander

Proceedings of the Datenbanksysteme in Büro, 1999

1998

Clustering for Mining in Large Spatial Databases.

Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu

Künstliche Intell., 1998

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

Jörg Sander, Martin Ester, Hans-Peter Kriegel, Xiaowei Xu

Data Min. Knowl. Discov., 1998

Incremental Clustering for Mining in a Data Warehousing Environment.

Martin Ester, Hans-Peter Kriegel, Jörg Sander, Michael Wimmer, Xiaowei Xu

Proceedings of the VLDB'98, 1998

Algorithms for Characterization and Trend Detection in Spatial Databases.

Martin Ester, Alexander Frommelt, Hans-Peter Kriegel, Jörg Sander

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.

Xiaowei Xu, Martin Ester, Hans-Peter Kriegel, Jörg Sander

Proceedings of the Fourteenth International Conference on Data Engineering, 1998

1997

Spatial Data Mining: A Database Approach.

Martin Ester, Hans-Peter Kriegel, Jörg Sander

Proceedings of the Advances in Spatial Databases, 1997

Density-Connected Sets and their Application for Trend Detection in Spatial Databases.

Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu

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.

Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu

Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996