A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. - Martin Ester; Hans-Peter Kriegel; Jörg Sander 001; Xiaowei Xu 001 (KDD, 1996)

Density-Connected Sets and their Application for Trend Detection in Spatial Databases. - Martin Ester; Hans-Peter Kriegel; Jörg Sander 001; Xiaowei Xu 001 (KDD, 1997)

Spatial Data Mining: A Database Approach. - Martin Ester; Hans-Peter Kriegel; Jörg Sander 001 (SSD, 1997)

A Distribution-Based Clustering Algorithm for Mining in Large Spatial Databases. - Xiaowei Xu 001; Martin Ester; Hans-Peter Kriegel; Jörg Sander 001 (ICDE, 1998)

Algorithms for Characterization and Trend Detection in Spatial Databases. - Martin Ester; Alexander Frommelt; Hans-Peter Kriegel; Jörg Sander 001 (KDD, 1998)

Incremental Clustering for Mining in a Data Warehousing Environment. - Martin Ester; Hans-Peter Kriegel; Jörg Sander 001; Michael Wimmer; Xiaowei Xu 001 (VLDB, 1998)

Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications. - Jörg Sander 001; Martin Ester; Hans-Peter Kriegel; Xiaowei Xu 001 (Data Min. Knowl. Discov., 1998)

Clustering for Mining in Large Spatial Databases. - Martin Ester; Hans-Peter Kriegel; Jörg Sander 001; Xiaowei Xu 001 (Künstliche Intell., 1998)

Database Primitives for Spatial Data Mining. - Martin Ester; Stefan Grundlach; Hans-Peter Kriegel; Jörg Sander 001 (BTW, 1999)

Knowledge Discovery in Spatial Databases. - Martin Ester; Hans-Peter Kriegel; Jörg Sander 001 (KI, 1999)

OPTICS-OF: Identifying Local Outliers. - Markus M. Breunig; Hans-Peter Kriegel; Raymond T. Ng; Jörg Sander 001 (PKDD, 1999)

OPTICS: Ordering Points To Identify the Clustering Structure. - Mihael Ankerst; Markus M. Breunig; Hans-Peter Kriegel; Jörg Sander 001 (SIGMOD Conference, 1999)

Towards the qualitative, plan-based simulation of international crises. - Wolfgang Balzer; Jörg Sander 001 (Eur. J. Oper. Res., 1999)

Generalized Density-Based Clustering for Spatial Data Mining (Abstract). - Jörg Sander 001 (Datenbank Rundbr., 1999)

Generalized density based clustering for spatial data mining. - Jörg Sander 001 (Utz, 1999)

Knowledge Discovery in Databases - Techniken und Anwendungen - Martin Ester; Jörg Sander 001 (Springer, 2000)

Independent Quantization: An Index Compression Technique for High-Dimensional Data Spaces. - Stefan Berchtold; Christian Böhm 001; H. V. Jagadish; Hans-Peter Kriegel; Jörg Sander 001 (ICDE, 2000)

Efficiently Supporting Multiple Similarity Queries for Mining in Metric Databases. - Bernhard Braunmüller; Martin Ester; Hans-Peter Kriegel; Jörg Sander 001 (ICDE, 2000)

Fast Hierarchical Clustering Based on Compressed Data and OPTICS. - Markus M. Breunig; Hans-Peter Kriegel; Jörg Sander 001 (PKDD, 2000)

LOF: Identifying Density-Based Local Outliers. - Markus M. Breunig; Hans-Peter Kriegel; Raymond T. Ng; Jörg Sander 001 (SIGMOD Conference, 2000)

Spatial Data Mining: Database Primitives, Algorithms and Efficient DBMS Support. - Martin Ester; Alexander Frommelt; Hans-Peter Kriegel; Jörg Sander 001 (Data Min. Knowl. Discov., 2000)

Hierarchical cluster analysis of SAGE data for cancer profiling. - Raymond T. Ng; Jörg Sander 001; Monica C. Sleumer (BIOKDD, 2001)

Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering. - Markus M. Breunig; Hans-Peter Kriegel; Peer Kröger; Jörg Sander 001 (SIGMOD Conference, 2001)

Multiple Similarity Queries: A Basic DBMS Operation for Mining in Metric Databases. - Bernhard Braunmüller; Martin Ester; Hans-Peter Kriegel; Jörg Sander 001 (IEEE Trans. Knowl. Data Eng., 2001)

Efficient Indexing of High Dimensional Normalized Histograms. - Alexandru Coman; Jörg Sander 001; Mario A. Nascimento (DEXA, 2003)

Automatic Extraction of Clusters from Hierarchical Clustering Representations. - Jörg Sander 001; Xuejie Qin; Zhiyong Lu; Nan Niu; Alex Kovarsky (PAKDD, 2003)

Data Bubbles for Non-Vector Data: Speeding-up Hierarchical Clustering in Arbitrary Metric Spaces. - Jianjun Zhou; Jörg Sander 001 (VLDB, 2003)

Focused Co-citation: Improving the Retrieval of Related Pages on the Web. - Gabriela Moise; Jörg Sander 001; Davood Rafiei (WWW (Posters), 2003)

Analysis of SIGMOD's Co-Authorship Graph. - Mario A. Nascimento; Jörg Sander 001; Jeffrey Pound (SIGMOD Rec., 2003)

A framework for spatio-temporal query processing over wireless sensor networks. - Alexandru Coman; Mario A. Nascimento; Jörg Sander 001 (DMSN, 2004)

Incremental and Effective Data Summarization for Dynamic Hierarchical Clustering. - Samer Nassar; Jörg Sander 001; Corrine Cheng (SIGMOD Conference, 2004)

Exploiting redundancy in sensor networks for energy efficient processing of spatiotemporal region queries. - Alexandru Coman; Mario A. Nascimento; Jörg Sander 001 (CIKM, 2005)

Segmenting Brain Tumors with Conditional Random Fields and Support Vector Machines. - Chi-Hoon Lee; Mark Schmidt 001; Albert Murtha; Aalo Bistritz; Jörg Sander 001; Russell Greiner (CVBIA, 2005)

An Analysis of Spatio-Temporal Query Processing in Sensor Networks. - Alexandru Coman; Jörg Sander 001; Mario A. Nascimento (ICDE Workshops, 2005)

A Trajectory Splitting Model for Efficient Spatio-Temporal Indexing. - Slobodan Rasetic; Jörg Sander 001; James Elding; Mario A. Nascimento (VLDB, 2005)

A methodology for analyzing SAGE libraries for cancer profiling. - Jörg Sander 001; Raymond T. Ng; Monica C. Sleumer; Man Saint Yuen; Steven J. M. Jones (ACM Trans. Inf. Syst., 2005)

A Classification-Based Glioma Diffusion Model Using MRI Data. - Marianne Morris; Russell Greiner; Jörg Sander 001; Albert Murtha; Mark Schmidt 001 (Canadian AI, 2006)

P3C: A Robust Projected Clustering Algorithm. - Gabriela Moise; Jörg Sander 001; Martin Ester (ICDM, 2006)

Speedup Clustering with Hierarchical Ranking. - Jianjun Zhou; Jörg Sander 001 (ICDM, 2006)

Learning a Classification-based Glioma Growth Model Using MRI Data. - Marianne Morris; Russell Greiner; Jörg Sander 001; Albert Murtha; Mark Schmidt 001 (J. Comput., 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; et al. (Nucleic Acids Res., 2006)

On Join Location in Sensor Networks. - Alexandru Coman; Mario A. Nascimento; Jörg Sander 001 (MDM, 2007)

Effective Summarization of Multi-Dimensional Data Streams for Historical Stream Mining. - Samer Nassar; Jörg Sander 001 (SSDBM, 2007)

Adaptive processing of historical spatial range queries in peer-to-peer sensor networks. - Alexandru Coman; Jörg Sander 001; Mario A. Nascimento (Distributed Parallel Databases, 2007)

Efficient composite pattern finding from monad patterns. - Jianjun Zhou; Jörg Sander 001; Guohui Lin (Int. J. Bioinform. Res. Appl., 2007)

Finding non-redundant, statistically significant regions in high dimensional data: a novel approach to projected and subspace clustering. - Gabriela Moise; Jörg Sander 001 (KDD, 2008)

PIST: An Efficient and Practical Indexing Technique for Historical Spatio-Temporal Point Data. - Viorica Botea; Daniel Mallett; Mario A. Nascimento; Jörg Sander 001 (GeoInformatica, 2008)

Robust projected clustering. - Gabriela Moise; Jörg Sander 001; Martin Ester (Knowl. Inf. Syst., 2008)

Semi-supervised Density-Based Clustering. - Levi Lelis; Jörg Sander 001 (ICDM, 2009)

Decomposing object-oriented class modules using an agglomerative clustering technique. - Marios Fokaefs; Nikolaos Tsantalis; Alexander Chatzigeorgiou; Jörg Sander 001 (ICSM, 2009)

Subspace and projected clustering: experimental evaluation and analysis. - Gabriela Moise; Arthur Zimek; Peer Kröger; Hans-Peter Kriegel; Jörg Sander 001 (Knowl. Inf. Syst., 2009)

Finding the Nearest Neighbors in Biological Databases Using Less Distance Computations. - Jianjun Zhou; Jörg Sander 001; Zhipeng Cai 001; Lusheng Wang 001; Guohui Lin (IEEE ACM Trans. Comput. Biol. Bioinform., 2010)

Density-Based Clustering. - Jörg Sander 001 (Encyclopedia of Machine Learning, 2010)

ONDOCS: Ordering Nodes to Detect Overlapping Community Structure. - Jiyang Chen; Osmar R. Zaïane; Jörg Sander 001; Randy Goebel (Data Mining for Social Network Data, 2010)

SSCP: Mining Statistically Significant Co-location Patterns. - Sajib Barua; Jörg Sander 001 (SSTD, 2011)

Density-based clustering. - Hans-Peter Kriegel; Peer Kröger; Jörg Sander 001; Arthur Zimek (WIREs Data Mining Knowl. Discov., 2011)

Combining gene expression and interaction network data to improve kidney lesion score prediction. - Davoud Moulavi; Mohsen Hajiloo; Jörg Sander 001; Philip F. Halloran; Russell Greiner (Int. J. Bioinform. Res. Appl., 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 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

Detecting Statistically Significant Temporal Associations from Multiple Event Sequences. - Han Liang; Jörg Sander 001 (Canadian AI, 2013)

Discovering Spatial Co-Clustering Patterns in Traffic Collision Data. - Dapeng Li; Jörg Sander 001; Mario A. Nascimento; Dae-Won Kwon (CTS@SIGSPATIAL, 2013)

Subsampling for efficient and effective unsupervised outlier detection ensembles. - Arthur Zimek; Matthew Gaudet; Ricardo J. G. B. Campello; Jörg Sander 001 (KDD, 2013)

Density-Based Clustering Based on Hierarchical Density Estimates. - Ricardo J. G. B. Campello; Davoud Moulavi; Jörg Sander 001 (PAKDD (2), 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 001 (Data Min. Knowl. Discov., 2013)

Ensembles for unsupervised outlier detection: challenges and research questions a position paper. - Arthur Zimek; Ricardo J. G. B. Campello; Jörg Sander 001 (SIGKDD Explor., 2013)

Active Learning Strategies for Semi-Supervised DBSCAN. - Jundong Li; Jörg Sander 001; Ricardo J. G. B. Campello; Arthur Zimek (Canadian AI, 2014)

Model Selection for Semi-Supervised Clustering. - Mojgan Pourrajabi; Davoud Moulavi; Ricardo J. G. B. Campello; Arthur Zimek; Jörg Sander 001; Randy Goebel (EDBT, 2014)

Heavyweight Pattern Mining in Attributed Flow Graphs. - Carolina Simoes Gomes; José Nelson Amaral; Jörg Sander 001; Joran Siu; Li Ding (ICDM, 2014)

Density-Based Clustering Validation. - Davoud Moulavi; Pablo A. Jaskowiak; Ricardo J. G. B. Campello; Arthur Zimek; Jörg Sander 001 (SDM, 2014)

Mining statistically sound co-location patterns at multiple distances. - Sajib Barua; Jörg Sander 001 (SSDBM, 2014)

Data perturbation for outlier detection ensembles. - Arthur Zimek; Ricardo J. G. B. Campello; Jörg Sander 001 (SSDBM, 2014)

Mining Statistically Significant Co-location and Segregation Patterns. - Sajib Barua; Jörg Sander 001 (IEEE Trans. Knowl. Data Eng., 2014)

Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection. - Ricardo J. G. B. Campello; Davoud Moulavi; Arthur Zimek; Jörg Sander 001 (ACM Trans. Knowl. Discov. Data, 2015)

Active Semi-Supervised Classification Based on Multiple Clustering Hierarchies. - Antonio J. L. Batista; Ricardo J. G. B. Campello; Jörg Sander 001 (DSAA, 2016)

On the Evaluation of Outlier Detection and One-Class Classification Methods. - Lorne Swersky; Henrique O. Marques; Jörg Sander 001; Ricardo J. G. B. Campello; Arthur Zimek (DSAA, 2016)

Finding Surprisingly Frequent Patterns of Variable Lengths in Sequence Data. - Reza Sadoddin; Jörg Sander 001; Davood Rafiei (SDM, 2016)

On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study. - Guilherme Oliveira Campos; Arthur Zimek; Jörg Sander 001; Ricardo J. G. B. Campello; Barbora Micenková; Erich Schubert; Ira Assent; Michael E. Houle (Data Min. Knowl. Discov., 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 001 (Knowl. Inf. Syst., 2016)

Efficient Computation of Multiple Density-Based Clustering Hierarchies. - Antônio Cavalcante Araújo Neto; Jörg Sander 001; Ricardo J. G. B. Campello; Mario A. Nascimento (ICDM, 2017)

DBSCAN Revisited, Revisited: Why and How You Should (Still) Use DBSCAN. - Erich Schubert; Jörg Sander 001; Martin Ester; Hans-Peter Kriegel; Xiaowei Xu 001 (ACM Trans. Database Syst., 2017)

Statistically Significant Co-location Pattern Mining. - Sajib Barua; Jörg Sander 001 (Encyclopedia of GIS, 2017)

Density-Based Clustering. - Jörg Sander 001 (Encyclopedia of Machine Learning and Data Mining, 2017)

A Modularity-Based Measure for Cluster Selection from Clustering Hierarchies. - Francisco de Assis Rodrigues dos Anjos; Jadson Castro Gertrudes; Jörg Sander 001; Ricardo J. G. B. Campello (AusDM, 2018)

A unified framework of density-based clustering for semi-supervised classification. - Jadson Castro Gertrudes; Arthur Zimek; Jörg Sander 001; Ricardo J. G. B. Campello (SSDBM, 2018)

MustaCHE: A Multiple Clustering Hierarchies Explorer. - Antônio C. Araújo Neto; Mario A. Nascimento; Jörg Sander 001; Ricardo J. G. B. Campello (Proc. VLDB Endow., 2018)

Analyzing and visualizing the canadian research landscape. - Victor N. Silva; Ashley Herman; Maryam Mirzaei; Elisa Du; Bowen Hu; Lianne M. Lefsrud; Jörg Sander 001; Eleni Stroulia; Monica Sawchyn (CASCON, 2019)

Online Stochastic Prediction of Mid-Flight Aircraft Trajectories. - Yongzhen Arthur Pan; Mario A. Nascimento; Joerg Sander 001 (IWCTS@SIGSPATIAL, 2019)

A unified view of density-based methods for semi-supervised clustering and classification. - Jadson Castro Gertrudes; Arthur Zimek; Jörg Sander 001; Ricardo J. G. B. Campello (Data Min. Knowl. Discov., 2019)

Multi-Aspect Review-Team Assignment using Latent Research Areas. - Maryam Mirzaei; Jörg Sander 001; Eleni Stroulia (Inf. Process. Manag., 2019)

Model-Based Clustering with HDBSCAN. - Michael Strobl; Jörg Sander 001; Ricardo J. G. B. Campello; Osmar R. Zaïane (ECML/PKDD (2), 2020)

Correction to: A unified view of density-based methods for semi-supervised clustering and classification. - Jadson Castro Gertrudes; Arthur Zimek; Jörg Sander 001; Ricardo J. G. B. Campello (Data Min. Knowl. Discov., 2020)

Internal Evaluation of Unsupervised Outlier Detection. - Henrique O. Marques; Ricardo J. G. B. Campello; Jörg Sander 001; Arthur Zimek (ACM Trans. Knowl. Discov. Data, 2020)

Density-based clustering. - Ricardo J. G. B. Campello; Peer Kröger; Jörg Sander 001; Arthur Zimek (WIREs Data Mining Knowl. Discov., 2020)

Hierarchical Density-Based Clustering Using MapReduce. - Joelson Antônio dos Santos; Syed Talat Iqbal; Murilo Coelho Naldi; Ricardo J. G. B. Campello; Joerg Sander 001 (IEEE Trans. Big Data, 2021)

Efficient Computation and Visualization of Multiple Density-Based Clustering Hierarchies. - Antônio Cavalcante Araújo Neto; Jörg Sander 001; Ricardo J. G. B. Campello; Mario A. Nascimento (IEEE Trans. Knowl. Data Eng., 2021)

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 001 (ICDE, 2022)

Similarity-Based Unsupervised Evaluation of Outlier Detection. - Henrique O. Marques; Arthur Zimek; Ricardo J. G. B. Campello; Jörg Sander 001 (SISAP, 2022)

ESIREOS: Efficient, Scalable, Internal, Relative Evaluation of Outliers Solutions. - William A. Alves; Henrique O. Marques; Murilo Coelho Naldi; Jörg Sander 001 (ICPADS, 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 001; Ricardo J. G. B. Campello; Arthur Zimek (Data Min. Knowl. Discov., 2023)

Potential of dissimilarity measure-based computation of protein thermal stability data for determining protein interactions. - Joshua Teitz; Jörg Sander 001; Hassan Sarker; Carlos Fernandez-Patron (Briefings Bioinform., 2023)

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles. - Kushankur Ghosh; Murilo Coelho Naldi; Jörg Sander 001; Euijin Choo (IEEE Big Data, 2024)

Efficient outlier detection in numerical and categorical data. - Eugênio F. Cabral; Braulio Valentin Sanchez Vinces; Guilherme D. F. Silva; Jörg Sander 001; Robson L. F. Cordeiro (Data Min. Knowl. Discov., 2025)