Jörg Sander

ORCID

Publication Activity (10 Years)

Years Active: 1996-2023
Publications (10 Years): 24

Top Venues

Data Min. Knowl. Discov.

SSDBM

SDM

ACM Trans. Knowl. Discov. Data

Ludwig Maximilian University of Munich, Germany (PHD)

Education History

Ludwig Maximilian University of Munich, Germany

PHD

Publications

Henrique O. Marques, Lorne Swersky, Jörg Sander, Ricardo J. G. B. Campello, Arthur Zimek
On the evaluation of outlier detection and one-class classification: a comparative study of algorithms, model selection, and ensembles. Data Min. Knowl. Discov. 37 (4) (2023)
William A. Alves, Henrique O. Marques, Murilo Coelho Naldi, Jörg Sander
ESIREOS: Efficient, Scalable, Internal, Relative Evaluation of Outliers Solutions. ICPADS (2023)
Joshua Teitz, Jörg Sander, Hassan Sarker, Carlos Fernandez-Patron
Potential of dissimilarity measure-based computation of protein thermal stability data for determining protein interactions. Briefings Bioinform. 24 (3) (2023)
Antônio Cavalcante Araújo Neto, Murilo Coelho Naldi, Ricardo J. G. B. Campello, Jörg Sander
CORE-SG: Efficient Computation of Multiple MSTs for Density-Based Methods. ICDE (2022)
Henrique O. Marques, Arthur Zimek, Ricardo J. G. B. Campello, Jörg Sander
Similarity-Based Unsupervised Evaluation of Outlier Detection. SISAP (2022)
Antônio Cavalcante Araújo Neto, Jörg Sander, Ricardo J. G. B. Campello, Mario A. Nascimento
Efficient Computation and Visualization of Multiple Density-Based Clustering Hierarchies. IEEE Trans. Knowl. Data Eng. 33 (8) (2021)
Ricardo J. G. B. Campello, Peer Kröger, Jörg Sander, Arthur Zimek
Density-based clustering. WIREs Data Mining Knowl. Discov. 10 (2) (2020)
Michael Strobl, Jörg Sander, Ricardo J. G. B. Campello, Osmar R. Zaïane
Model-Based Clustering with HDBSCAN. ECML/PKDD (2) (2020)
Henrique O. Marques, Ricardo J. G. B. Campello, Jörg Sander, Arthur Zimek
Internal Evaluation of Unsupervised Outlier Detection. ACM Trans. Knowl. Discov. Data 14 (4) (2020)
Jadson Castro Gertrudes, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello
Correction to: A unified view of density-based methods for semi-supervised clustering and classification. Data Min. Knowl. Discov. 34 (6) (2020)
Victor N. Silva, Ashley Herman, Maryam Mirzaei, Elisa Du, Bowen Hu, Lianne M. Lefsrud, Jörg Sander, Eleni Stroulia, Monica Sawchyn
Analyzing and visualizing the canadian research landscape. CASCON (2019)
Maryam Mirzaei, Jörg Sander, Eleni Stroulia
Multi-Aspect Review-Team Assignment using Latent Research Areas. Inf. Process. Manag. 56 (3) (2019)
Jadson Castro Gertrudes, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello
A unified view of density-based methods for semi-supervised clustering and classification. Data Min. Knowl. Discov. 33 (6) (2019)
Francisco de Assis Rodrigues dos Anjos, Jadson Castro Gertrudes, Jörg Sander, Ricardo J. G. B. Campello
A Modularity-Based Measure for Cluster Selection from Clustering Hierarchies. AusDM (2018)
Antônio C. Araújo Neto, Mario A. Nascimento, Jörg Sander, Ricardo J. G. B. Campello
MustaCHE: A Multiple Clustering Hierarchies Explorer. Proc. VLDB Endow. 11 (12) (2018)
Jadson Castro Gertrudes, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello
A unified framework of density-based clustering for semi-supervised classification. SSDBM (2018)
Erich Schubert, Jörg Sander, Martin Ester, Hans-Peter Kriegel, Xiaowei Xu
DBSCAN Revisited, Revisited: Why and How You Should (Still) Use DBSCAN. ACM Trans. Database Syst. 42 (3) (2017)
Antônio Cavalcante Araújo Neto, Jörg Sander, Ricardo J. G. B. Campello, Mario A. Nascimento
Efficient Computation of Multiple Density-Based Clustering Hierarchies. CoRR (2017)
Antônio Cavalcante Araújo Neto, Jörg Sander, Ricardo J. G. B. Campello, Mario A. Nascimento
Efficient Computation of Multiple Density-Based Clustering Hierarchies. ICDM (2017)
Reza Sadoddin, Jörg Sander, Davood Rafiei
Finding Surprisingly Frequent Patterns of Variable Lengths in Sequence Data. SDM (2016)
Lorne Swersky, Henrique O. Marques, Jörg Sander, Ricardo J. G. B. Campello, Arthur Zimek
On the Evaluation of Outlier Detection and One-Class Classification Methods. DSAA (2016)
Guilherme Oliveira Campos, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello, Barbora Micenková, Erich Schubert, Ira Assent, Michael E. Houle
On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study. Data Min. Knowl. Discov. 30 (4) (2016)
Antonio J. L. Batista, Ricardo J. G. B. Campello, Jörg Sander
Active Semi-Supervised Classification Based on Multiple Clustering Hierarchies. DSAA (2016)
Pablo A. Jaskowiak, Davoud Moulavi, Antonio C. S. Furtado, Ricardo J. G. B. Campello, Arthur Zimek, Jörg Sander
On strategies for building effective ensembles of relative clustering validity criteria. Knowl. Inf. Syst. 47 (2) (2016)
Ricardo J. G. B. Campello, Davoud Moulavi, Arthur Zimek, Jörg Sander
Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection. ACM Trans. Knowl. Discov. Data 10 (1) (2015)
Henrique O. Marques, Ricardo J. G. B. Campello, Arthur Zimek, Jörg Sander
On the internal evaluation of unsupervised outlier detection. SSDBM (2015)
Davoud Moulavi, Pablo A. Jaskowiak, Ricardo J. G. B. Campello, Arthur Zimek, Jörg Sander
Density-Based Clustering Validation. SDM (2014)
Carolina Simoes Gomes, José Nelson Amaral, Jörg Sander, Joran Siu, Li Ding
Heavyweight Pattern Mining in Attributed Flow Graphs. ICDM (2014)
Sajib Barua, Jörg Sander
Mining statistically sound co-location patterns at multiple distances. SSDBM (2014)
Arthur Zimek, Ricardo J. G. B. Campello, Jörg Sander
Data perturbation for outlier detection ensembles. SSDBM (2014)
Jundong Li, Jörg Sander, Ricardo J. G. B. Campello, Arthur Zimek
Active Learning Strategies for Semi-Supervised DBSCAN. Canadian Conference on AI (2014)
Sajib Barua, Jörg Sander
Mining Statistically Significant Co-location and Segregation Patterns. IEEE Trans. Knowl. Data Eng. 26 (5) (2014)
Mojgan Pourrajabi, Davoud Moulavi, Ricardo J. G. B. Campello, Arthur Zimek, Jörg Sander, Randy Goebel
Model Selection for Semi-Supervised Clustering. EDBT (2014)
Ricardo J. G. B. Campello, Davoud Moulavi, Arthur Zimek, Jörg Sander
A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies. Data Min. Knowl. Discov. 27 (3) (2013)
Han Liang, Jörg Sander
Detecting Statistically Significant Temporal Associations from Multiple Event Sequences. Canadian Conference on AI (2013)
Arthur Zimek, Matthew Gaudet, Ricardo J. G. B. Campello, Jörg Sander
Subsampling for efficient and effective unsupervised outlier detection ensembles. KDD (2013)
Dapeng Li, Jörg Sander, Mario A. Nascimento, Dae-Won Kwon
Discovering Spatial Co-Clustering Patterns in Traffic Collision Data. CTS@SIGSPATIAL (2013)
Arthur Zimek, Ricardo J. G. B. Campello, Jörg Sander
Ensembles for unsupervised outlier detection: challenges and research questions a position paper. SIGKDD Explor. 15 (1) (2013)
Ricardo J. G. B. Campello, Davoud Moulavi, Jörg Sander
Density-Based Clustering Based on Hierarchical Density Estimates. PAKDD (2) (2013)
Davoud Moulavi, Mohsen Hajiloo, Jörg Sander, Philip F. Halloran, Russell Greiner
Combining gene expression and interaction network data to improve kidney lesion score prediction. Int. J. Bioinform. Res. Appl. 8 (1/2) (2012)
Ricardo J. G. B. Campello, Davoud Moulavi, Jörg Sander
A Simpler and More Accurate AUTO-HDS Framework for Clustering and Visualization of Biological Data. IEEE ACM Trans. Comput. Biol. Bioinform. 9 (6) (2012)
Hans-Peter Kriegel, Peer Kröger, Jörg Sander, Arthur Zimek
Density-based clustering. WIREs Data Mining Knowl. Discov. 1 (3) (2011)
Sajib Barua, Jörg Sander
SSCP: Mining Statistically Significant Co-location Patterns. SSTD (2011)
Jianjun Zhou, Jörg Sander, Zhipeng Cai, Lusheng Wang, Guohui Lin
Finding the Nearest Neighbors in Biological Databases Using Less Distance Computations. IEEE ACM Trans. Comput. Biol. Bioinform. 7 (4) (2010)
Marios Fokaefs, Nikolaos Tsantalis, Alexander Chatzigeorgiou, Jörg Sander
Decomposing object-oriented class modules using an agglomerative clustering technique. ICSM (2009)
Gabriela Moise, Arthur Zimek, Peer Kröger, Hans-Peter Kriegel, Jörg Sander
Subspace and projected clustering: experimental evaluation and analysis. Knowl. Inf. Syst. 21 (3) (2009)
Levi Lelis, Jörg Sander
Semi-supervised Density-Based Clustering. ICDM (2009)
Gabriela Moise, Jörg Sander
Finding non-redundant, statistically significant regions in high dimensional data: a novel approach to projected and subspace clustering. KDD (2008)
Gabriela Moise, Jörg Sander, Martin Ester
Robust projected clustering. Knowl. Inf. Syst. 14 (3) (2008)
Viorica Botea, Daniel Mallett, Mario A. Nascimento, Jörg Sander
PIST: An Efficient and Practical Indexing Technique for Historical Spatio-Temporal Point Data. GeoInformatica 12 (2) (2008)
Alexandru Coman, Mario A. Nascimento, Jörg Sander
On Join Location in Sensor Networks. MDM (2007)
Jianjun Zhou, Jörg Sander, Guohui Lin
Efficient composite pattern finding from monad patterns. Int. J. Bioinform. Res. Appl. 3 (1) (2007)
Alexandru Coman, Jörg Sander, Mario A. Nascimento
Adaptive processing of historical spatial range queries in peer-to-peer sensor networks. Distributed Parallel Databases 22 (2-3) (2007)
Samer Nassar, Jörg Sander
Effective Summarization of Multi-Dimensional Data Streams for Historical Stream Mining. SSDBM (2007)
Marianne Morris, Russell Greiner, Jörg Sander, Albert Murtha, Mark Schmidt
A Classification-Based Glioma Diffusion Model Using MRI Data. Canadian Conference on AI (2006)
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
cisRED: a database system for genome-scale computational discovery of regulatory elements. Nucleic Acids Res. 34 (Database-Issue) (2006)
Marianne Morris, Russell Greiner, Jörg Sander, Albert Murtha, Mark Schmidt
Learning a Classification-based Glioma Growth Model Using MRI Data. J. Comput. 1 (7) (2006)
Jianjun Zhou, Jörg Sander
Speedup Clustering with Hierarchical Ranking. ICDM (2006)
Gabriela Moise, Jörg Sander, Martin Ester
P3C: A Robust Projected Clustering Algorithm. ICDM (2006)
Jörg Sander, Raymond T. Ng, Monica C. Sleumer, Man Saint Yuen, Steven J. M. Jones
A methodology for analyzing SAGE libraries for cancer profiling. ACM Trans. Inf. Syst. 23 (1) (2005)
Slobodan Rasetic, Jörg Sander, James Elding, Mario A. Nascimento
A Trajectory Splitting Model for Efficient Spatio-Temporal Indexing. VLDB (2005)
Chi-Hoon Lee, Mark Schmidt, Albert Murtha, Aalo Bistritz, Jörg Sander, Russell Greiner
Segmenting Brain Tumors with Conditional Random Fields and Support Vector Machines. CVBIA (2005)
Alexandru Coman, Jörg Sander, Mario A. Nascimento
An Analysis of Spatio-Temporal Query Processing in Sensor Networks. ICDE Workshops (2005)
Alexandru Coman, Mario A. Nascimento, Jörg Sander
Exploiting redundancy in sensor networks for energy efficient processing of spatiotemporal region queries. CIKM (2005)
Alexandru Coman, Mario A. Nascimento, Jörg Sander
A framework for spatio-temporal query processing over wireless sensor networks. DMSN (2004)
Samer Nassar, Jörg Sander, Corrine Cheng
Incremental and Effective Data Summarization for Dynamic Hierarchical Clustering. SIGMOD Conference (2004)
Gabriela Moise, Jörg Sander, Davood Rafiei
Focused Co-citation: Improving the Retrieval of Related Pages on the Web. WWW (Posters) (2003)
Jörg Sander, Xuejie Qin, Zhiyong Lu, Nan Niu, Alex Kovarsky
Automatic Extraction of Clusters from Hierarchical Clustering Representations. PAKDD (2003)
Jianjun Zhou, Jörg Sander
Data Bubbles for Non-Vector Data: Speeding-up Hierarchical Clustering in Arbitrary Metric Spaces. VLDB (2003)
Mario A. Nascimento, Jörg Sander, Jeffrey Pound
Analysis of SIGMOD's co-authorship graph. SIGMOD Rec. 32 (3) (2003)
Alexandru Coman, Jörg Sander, Mario A. Nascimento
Efficient Indexing of High Dimensional Normalized Histograms. DEXA (2003)
Markus M. Breunig, Hans-Peter Kriegel, Peer Kröger, Jörg Sander
Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering. SIGMOD Conference (2001)
Raymond T. Ng, Jörg Sander, Monica C. Sleumer
Hierarchical cluster analysis of SAGE data for cancer profiling. BIOKDD (2001)
Bernhard Braunmüller, Martin Ester, Hans-Peter Kriegel, Jörg Sander
Multiple Similarity Queries: A Basic DBMS Operation for Mining in Metric Databases. IEEE Trans. Knowl. Data Eng. 13 (1) (2001)
Markus M. Breunig, Hans-Peter Kriegel, Jörg Sander
Fast Hierarchical Clustering Based on Compressed Data and OPTICS. PKDD (2000)
Markus M. Breunig, Hans-Peter Kriegel, Raymond T. Ng, Jörg Sander
LOF: Identifying Density-Based Local Outliers. SIGMOD Conference (2000)
Martin Ester, Alexander Frommelt, Hans-Peter Kriegel, Jörg Sander
Spatial Data Mining: Database Primitives, Algorithms and Efficient DBMS Support. Data Min. Knowl. Discov. 4 (2/3) (2000)
Bernhard Braunmüller, Martin Ester, Hans-Peter Kriegel, Jörg Sander
Efficiently Supporting Multiple Similarity Queries for Mining in Metric Databases. ICDE (2000)
Stefan Berchtold, Christian Böhm, H. V. Jagadish, Hans-Peter Kriegel, Jörg Sander
Independent Quantization: An Index Compression Technique for High-Dimensional Data Spaces. ICDE (2000)
Martin Ester, Hans-Peter Kriegel, Jörg Sander
Knowledge Discovery in Spatial Databases. KI (1999)
Jörg Sander
Generalized Density-Based Clustering for Spatial Data Mining (Abstract). Datenbank Rundbr. 24 (1999)
Wolfgang Balzer, Jörg Sander
Towards the qualitative, plan-based simulation of international crises. Eur. J. Oper. Res. 116 (3) (1999)
Martin Ester, Hans-Peter Kriegel, Jörg Sander
Knowledge Discovery in Spatial Databases. DAGM-Symposium (1999)
Martin Ester, Stefan Grundlach, Hans-Peter Kriegel, Jörg Sander
Database Primitives for Spatial Data Mining. BTW (1999)
Markus M. Breunig, Hans-Peter Kriegel, Raymond T. Ng, Jörg Sander
OPTICS-OF: Identifying Local Outliers. PKDD (1999)
Mihael Ankerst, Markus M. Breunig, Hans-Peter Kriegel, Jörg Sander
OPTICS: Ordering Points To Identify the Clustering Structure. SIGMOD Conference (1999)
Xiaowei Xu, Martin Ester, Hans-Peter Kriegel, Jörg Sander
A Distribution-Based Clustering Algorithm for Mining in Large Spatial Databases. ICDE (1998)
Martin Ester, Alexander Frommelt, Hans-Peter Kriegel, Jörg Sander
Algorithms for Characterization and Trend Detection in Spatial Databases. KDD (1998)
Martin Ester, Hans-Peter Kriegel, Jörg Sander, Michael Wimmer, Xiaowei Xu
Incremental Clustering for Mining in a Data Warehousing Environment. VLDB (1998)
Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu
Clustering for Mining in Large Spatial Databases. Künstliche Intell. 12 (1) (1998)
Jörg Sander, Martin Ester, Hans-Peter Kriegel, Xiaowei Xu
Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications. Data Min. Knowl. Discov. 2 (2) (1998)
Martin Ester, Hans-Peter Kriegel, Jörg Sander
Spatial Data Mining: A Database Approach. SSD (1997)
Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu
Density-Connected Sets and their Application for Trend Detection in Spatial Databases. KDD (1997)
Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu
A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. KDD (1996)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jörg Sander