| 2023 | ICPADS | ESIREOS: Efficient, Scalable, Internal, Relative Evaluation of Outliers Solutions. | William A. Alves, Henrique O. Marques, Murilo Coelho Naldi, Jrg Sander |
| 2022 | ICDE | CORE-SG: Efficient Computation of Multiple MSTs for Density-Based Methods. | Antnio Cavalcante Arajo Neto, Murilo Coelho Naldi, Ricardo J. G. B. Campello, Jrg Sander |
| 2022 | SISAP | Similarity-Based Unsupervised Evaluation of Outlier Detection. | Henrique O. Marques, Arthur Zimek, Ricardo J. G. B. Campello, Jrg Sander |
| 2018 | AusDM | A Modularity-Based Measure for Cluster Selection from Clustering Hierarchies. | Francisco de Assis Rodrigues dos Anjos, Jadson Castro Gertrudes, Jrg Sander, Ricardo J. G. B. Campello |
| 2018 | SSDBM | A unified framework of density-based clustering for semi-supervised classification. | Jadson Castro Gertrudes, Arthur Zimek, Jrg Sander, Ricardo J. G. B. Campello |
| 2017 | ICDM | Efficient Computation of Multiple Density-Based Clustering Hierarchies. | Antnio Cavalcante Arajo Neto, Jrg Sander, Ricardo J. G. B. Campello, Mario A. Nascimento |
| 2016 | DSAA | Active Semi-Supervised Classification Based on Multiple Clustering Hierarchies. | Antonio J. L. Batista, Ricardo J. G. B. Campello, Jrg Sander |
| 2016 | DSAA | On the Evaluation of Outlier Detection and One-Class Classification Methods. | Lorne Swersky, Henrique O. Marques, Jrg Sander, Ricardo J. G. B. Campello, Arthur Zimek |
| 2016 | SDM | Finding Surprisingly Frequent Patterns of Variable Lengths in Sequence Data. | Reza Sadoddin, Jrg Sander, Davood Rafiei |
| 2015 | SSDBM | On the internal evaluation of unsupervised outlier detection. | Henrique O. Marques, Ricardo J. G. B. Campello, Arthur Zimek, Jrg Sander |
| 2014 | AI | Active Learning Strategies for Semi-Supervised DBSCAN. | Jundong Li, Jrg Sander, Ricardo J. G. B. Campello, Arthur Zimek |
| 2014 | EDBT | Model Selection for Semi-Supervised Clustering. | Mojgan Pourrajabi, Davoud Moulavi, Ricardo J. G. B. Campello, Arthur Zimek, Jrg Sander, Randy Goebel |
| 2014 | ICDM | Heavyweight Pattern Mining in Attributed Flow Graphs. | Carolina Simoes Gomes, Jos Nelson Amaral, Jrg Sander, Joran Siu, Li Ding |
| 2014 | SDM | Density-Based Clustering Validation. | Davoud Moulavi, Pablo A. Jaskowiak, Ricardo J. G. B. Campello, Arthur Zimek, Jrg Sander |
| 2014 | SSDBM | Mining statistically sound co-location patterns at multiple distances. | Sajib Barua, Jrg Sander |
| 2014 | SSDBM | Data perturbation for outlier detection ensembles. | Arthur Zimek, Ricardo J. G. B. Campello, Jrg Sander |
| 2013 | AI | Detecting Statistically Significant Temporal Associations from Multiple Event Sequences. | Han Liang, Jrg Sander |
| 2013 | KDD | Subsampling for efficient and effective unsupervised outlier detection ensembles. | Arthur Zimek, Matthew Gaudet, Ricardo J. G. B. Campello, Jrg Sander |
| 2013 | PAKDD | Density-Based Clustering Based on Hierarchical Density Estimates. | Ricardo J. G. B. Campello, Davoud Moulavi, Jrg Sander |
| 2009 | ICDM | Semi-supervised Density-Based Clustering. | Levi Lelis, Jrg Sander |
| 2008 | KDD | Finding non-redundant, statistically significant regions in high dimensional data: a novel approach to projected and subspace clustering. | Gabriela Moise, Jrg Sander |
| 2007 | MDM | On Join Location in Sensor Networks. | Alexandru Coman, Mario A. Nascimento, Jrg Sander |
| 2007 | SSDBM | Effective Summarization of Multi-Dimensional Data Streams for Historical Stream Mining. | Samer Nassar, Jrg Sander |
| 2006 | AI | A Classification-Based Glioma Diffusion Model Using MRI Data. | Marianne Morris, Russell Greiner, Jrg Sander, Albert Murtha, Mark Schmidt |
| 2006 | ICDM | P3C: A Robust Projected Clustering Algorithm. | Gabriela Moise, Jrg Sander, Martin Ester |
| 2006 | ICDM | Speedup Clustering with Hierarchical Ranking. | Jianjun Zhou, Jrg Sander |
| 2005 | CIKM | Exploiting redundancy in sensor networks for energy efficient processing of spatiotemporal region queries. | Alexandru Coman, Mario A. Nascimento, Jrg Sander |
| 2005 | ICDE | An Analysis of Spatio-Temporal Query Processing in Sensor Networks. | Alexandru Coman, Jrg Sander, Mario A. Nascimento |
| 2005 | VLDB | A Trajectory Splitting Model for Efficient Spatio-Temporal Indexing. | Slobodan Rasetic, Jrg Sander, James Elding, Mario A. Nascimento |
| 2004 | SIGMOD | Incremental and Effective Data Summarization for Dynamic Hierarchical Clustering. | Samer Nassar, Jrg Sander, Corrine Cheng |
| 2003 | DEXA | Efficient Indexing of High Dimensional Normalized Histograms. | Alexandru Coman, Jrg Sander, Mario A. Nascimento |
| 2003 | PAKDD | Automatic Extraction of Clusters from Hierarchical Clustering Representations. | Jrg Sander, Xuejie Qin, Zhiyong Lu, Nan Niu, Alex Kovarsky |
| 2003 | WWW | Focused Co-citation: Improving the Retrieval of Related Pages on the Web. | Gabriela Moise, Jrg Sander, Davood Rafiei |
| 2003 | VLDB | Data Bubbles for Non-Vector Data: Speeding-up Hierarchical Clustering in Arbitrary Metric Spaces. | Jianjun Zhou, Jrg Sander |
| 2001 | KDD | Hierarchical cluster analysis of SAGE data for cancer profiling. | Raymond T. Ng, Jrg Sander, Monica C. Sleumer |
| 2001 | SIGMOD | Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering. | Markus M. Breunig, Hans-Peter Kriegel, Peer Krger, Jrg Sander |
| 2000 | ICDE | Independent Quantization: An Index Compression Technique for High-Dimensional Data Spaces. | Stefan Berchtold, Christian Bhm, H. V. Jagadish, Hans-Peter Kriegel, Jrg Sander |
| 2000 | ICDE | Efficiently Supporting Multiple Similarity Queries for Mining in Metric Databases. | Bernhard Braunmller, Martin Ester, Hans-Peter Kriegel, Jrg Sander |
| 2000 | SIGMOD | LOF: Identifying Density-Based Local Outliers. | Markus M. Breunig, Hans-Peter Kriegel, Raymond T. Ng, Jrg Sander |
| 1999 | BTW | Database Primitives for Spatial Data Mining. | Martin Ester, Stefan Grundlach, Hans-Peter Kriegel, Jrg Sander |
| 1999 | KI | Knowledge Discovery in Spatial Databases. | Martin Ester, Hans-Peter Kriegel, Jrg Sander |
| 1999 | SIGMOD | OPTICS: Ordering Points To Identify the Clustering Structure. | Mihael Ankerst, Markus M. Breunig, Hans-Peter Kriegel, Jrg Sander |
| 1998 | ICDE | A Distribution-Based Clustering Algorithm for Mining in Large Spatial Databases. | Xiaowei Xu, Martin Ester, Hans-Peter Kriegel, Jrg Sander |
| 1998 | KDD | Algorithms for Characterization and Trend Detection in Spatial Databases. | Martin Ester, Alexander Frommelt, Hans-Peter Kriegel, Jrg Sander |
| 1998 | VLDB | Incremental Clustering for Mining in a Data Warehousing Environment. | Martin Ester, Hans-Peter Kriegel, Jrg Sander, Michael Wimmer, Xiaowei Xu |
| 1997 | KDD | Density-Connected Sets and their Application for Trend Detection in Spatial Databases. | Martin Ester, Hans-Peter Kriegel, Jrg Sander, Xiaowei Xu |
| 1996 | KDD | A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. | Martin Ester, Hans-Peter Kriegel, Jrg Sander, Xiaowei Xu |