Jörg Sander - RankMe

106 papers A* 17A 3B 15C 1Misc 3Journal 39Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An End-to-End Framework for Functionality-Embedded Provenance Graph Construction and Threat Interpretation. CoRR Kushankur Ghosh, Mehar Klair, Kian Kyars, Euijin Choo, Jörg Sander
2025	J	`jnl`	Efficient outlier detection in numerical and categorical data. Data Min. Knowl. Discov. Eugênio F. Cabral, Braulio Valentin Sanchez Vinces, Guilherme D. F. Silva, Jörg Sander, Robson L. F. Cordeiro
2024	B	`conf`	Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles. IEEE Big Data Kushankur Ghosh, Murilo Coelho Naldi, Jörg Sander, Euijin Choo
2024	J	`jnl`	Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles. CoRR Kushankur Ghosh, Murilo Coelho Naldi, Jörg Sander, Euijin Choo
2023	B	`conf`	ESIREOS: Efficient, Scalable, Internal, Relative Evaluation of Outliers Solutions. ICPADS William A. Alves, Henrique O. Marques, Murilo Coelho Naldi, Jörg Sander
2023	J	`jnl`	On the evaluation of outlier detection and one-class classification: a comparative study of algorithms, model selection, and ensembles. Data Min. Knowl. Discov. Henrique O. Marques, Lorne Swersky, Jörg Sander, Ricardo J. G. B. Campello, Arthur Zimek
2023	J	`jnl`	Potential of dissimilarity measure-based computation of protein thermal stability data for determining protein interactions. Briefings Bioinform. Joshua Teitz, Jörg Sander, Hassan Sarker, Carlos Fernandez-Patron
2022	A*	`conf`	CORE-SG: Efficient Computation of Multiple MSTs for Density-Based Methods. ICDE Antônio Cavalcante Araújo Neto, Murilo Coelho Naldi, Ricardo J. G. B. Campello, Jörg Sander
2022	B	`conf`	Similarity-Based Unsupervised Evaluation of Outlier Detection. SISAP Henrique O. Marques, Arthur Zimek, Ricardo J. G. B. Campello, Jörg Sander
2021	J	`jnl`	Efficient Computation and Visualization of Multiple Density-Based Clustering Hierarchies. IEEE Trans. Knowl. Data Eng. Antônio Cavalcante Araújo Neto, Jörg Sander, Ricardo J. G. B. Campello, Mario A. Nascimento
2020	J	`jnl`	Correction to: A unified view of density-based methods for semi-supervised clustering and classification. Data Min. Knowl. Discov. Jadson Castro Gertrudes, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello
2020	J	`jnl`	Density-based clustering. WIREs Data Mining Knowl. Discov. Ricardo J. G. B. Campello, Peer Kröger, Jörg Sander, Arthur Zimek
2020	J	`jnl`	Internal Evaluation of Unsupervised Outlier Detection. ACM Trans. Knowl. Discov. Data Henrique O. Marques, Ricardo J. G. B. Campello, Jörg Sander, Arthur Zimek
2020	—	`conf`	Model-Based Clustering with HDBSCAN. ECML/PKDD (2) Michael Strobl, Jörg Sander, Ricardo J. G. B. Campello, Osmar R. Zaïane
2019	J	`jnl`	A unified view of density-based methods for semi-supervised clustering and classification. Data Min. Knowl. Discov. Jadson Castro Gertrudes, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello
2019	—	`conf`	Analyzing and visualizing the canadian research landscape. CASCON Victor N. Silva, Ashley Herman, Maryam Mirzaei, Elisa Du, Bowen Hu, Lianne M. Lefsrud, Jörg Sander, Eleni Stroulia, Monica Sawchyn
2019	J	`jnl`	Multi-Aspect Review-Team Assignment using Latent Research Areas. Inf. Process. Manag. Maryam Mirzaei, Jörg Sander, Eleni Stroulia
2018	Misc	`conf`	A Modularity-Based Measure for Cluster Selection from Clustering Hierarchies. AusDM Francisco de Assis Rodrigues dos Anjos, Jadson Castro Gertrudes, Jörg Sander, Ricardo J. G. B. Campello
2018	B	`conf`	A unified framework of density-based clustering for semi-supervised classification. SSDBM Jadson Castro Gertrudes, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello
2018	J	`jnl`	MustaCHE: A Multiple Clustering Hierarchies Explorer. Proc. VLDB Endow. Antônio C. Araújo Neto, Mario A. Nascimento, Jörg Sander, Ricardo J. G. B. Campello
2017	J	`jnl`	DBSCAN Revisited, Revisited: Why and How You Should (Still) Use DBSCAN. ACM Trans. Database Syst. Erich Schubert, Jörg Sander, Martin Ester, Hans-Peter Kriegel, Xiaowei Xu
2017	—	`ch.`	Density-Based Clustering. Encyclopedia of Machine Learning and Data Mining Jörg Sander
2017	A*	`conf`	Efficient Computation of Multiple Density-Based Clustering Hierarchies. ICDM Antônio Cavalcante Araújo Neto, Jörg Sander, Ricardo J. G. B. Campello, Mario A. Nascimento
2017	J	`jnl`	Efficient Computation of Multiple Density-Based Clustering Hierarchies. CoRR Antônio Cavalcante Araújo Neto, Jörg Sander, Ricardo J. G. B. Campello, Mario A. Nascimento
2017	—	`ch.`	Statistically Significant Co-location Pattern Mining. Encyclopedia of GIS Sajib Barua, Jörg Sander
2016	B	`conf`	Active Semi-Supervised Classification Based on Multiple Clustering Hierarchies. DSAA Antonio J. L. Batista, Ricardo J. G. B. Campello, Jörg Sander
2016	A	`conf`	Finding Surprisingly Frequent Patterns of Variable Lengths in Sequence Data. SDM Reza Sadoddin, Jörg Sander, Davood Rafiei
2016	J	`jnl`	On strategies for building effective ensembles of relative clustering validity criteria. Knowl. Inf. Syst. Pablo A. Jaskowiak, Davoud Moulavi, Antonio C. S. Furtado, Ricardo J. G. B. Campello, Arthur Zimek, Jörg Sander
2016	B	`conf`	On the Evaluation of Outlier Detection and One-Class Classification Methods. DSAA Lorne Swersky, Henrique O. Marques, Jörg Sander, Ricardo J. G. B. Campello, Arthur Zimek
2016	J	`jnl`	On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study. Data Min. Knowl. Discov. Guilherme Oliveira Campos, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello, Barbora Micenková, Erich Schubert, Ira Assent, Michael E. Houle
2015	J	`jnl`	Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection. ACM Trans. Knowl. Discov. Data Ricardo J. G. B. Campello, Davoud Moulavi, Arthur Zimek, Jörg Sander
2015	B	`conf`	On the internal evaluation of unsupervised outlier detection. SSDBM Henrique O. Marques, Ricardo J. G. B. Campello, Arthur Zimek, Jörg Sander
2014	—	`conf`	Active Learning Strategies for Semi-Supervised DBSCAN. Canadian AI Jundong Li, Jörg Sander, Ricardo J. G. B. Campello, Arthur Zimek
2014	B	`conf`	Data perturbation for outlier detection ensembles. SSDBM Arthur Zimek, Ricardo J. G. B. Campello, Jörg Sander
2014	A	`conf`	Density-Based Clustering Validation. SDM Davoud Moulavi, Pablo A. Jaskowiak, Ricardo J. G. B. Campello, Arthur Zimek, Jörg Sander
2014	A*	`conf`	Heavyweight Pattern Mining in Attributed Flow Graphs. ICDM Carolina Simoes Gomes, José Nelson Amaral, Jörg Sander, Joran Siu, Li Ding
2014	J	`jnl`	Mining Statistically Significant Co-location and Segregation Patterns. IEEE Trans. Knowl. Data Eng. Sajib Barua, Jörg Sander
2014	B	`conf`	Mining statistically sound co-location patterns at multiple distances. SSDBM Sajib Barua, Jörg Sander
2014	B	`conf`	Model Selection for Semi-Supervised Clustering. EDBT Mojgan Pourrajabi, Davoud Moulavi, Ricardo J. G. B. Campello, Arthur Zimek, Jörg Sander, Randy Goebel
2013	J	`jnl`	A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies. Data Min. Knowl. Discov. Ricardo J. G. B. Campello, Davoud Moulavi, Arthur Zimek, Jörg Sander
2013	B	`ed.`	Advances in Spatial and Temporal Databases - 13th International Symposium, SSTD 2013, Munich, Germany, August 21-23, 2013. Proceedings SSTD Mario A. Nascimento, Timos K. Sellis, Reynold Cheng, Jörg Sander, Yu Zheng, Hans-Peter Kriegel, Matthias Renz, Christian Sengstock
2013	—	`conf`	Density-Based Clustering Based on Hierarchical Density Estimates. PAKDD (2) Ricardo J. G. B. Campello, Davoud Moulavi, Jörg Sander
2013	—	`conf`	Detecting Statistically Significant Temporal Associations from Multiple Event Sequences. Canadian AI Han Liang, Jörg Sander
2013	—	`conf`	Discovering Spatial Co-Clustering Patterns in Traffic Collision Data. CTS@SIGSPATIAL Dapeng Li, Jörg Sander, Mario A. Nascimento, Dae-Won Kwon
2013	J	`jnl`	Ensembles for unsupervised outlier detection: challenges and research questions a position paper. SIGKDD Explor. Arthur Zimek, Ricardo J. G. B. Campello, Jörg Sander
2013	A*	`conf`	Subsampling for efficient and effective unsupervised outlier detection ensembles. KDD Arthur Zimek, Matthew Gaudet, Ricardo J. G. B. Campello, Jörg Sander
2012	J	`jnl`	A Simpler and More Accurate AUTO-HDS Framework for Clustering and Visualization of Biological Data. IEEE ACM Trans. Comput. Biol. Bioinform. Ricardo J. G. B. Campello, Davoud Moulavi, Jörg Sander
2012	J	`jnl`	Combining gene expression and interaction network data to improve kidney lesion score prediction. Int. J. Bioinform. Res. Appl. Davoud Moulavi, Mohsen Hajiloo, Jörg Sander, Philip F. Halloran, Russell Greiner
2011	J	`jnl`	Density-based clustering. WIREs Data Mining Knowl. Discov. Hans-Peter Kriegel, Peer Kröger, Jörg Sander, Arthur Zimek
2011	B	`conf`	SSCP: Mining Statistically Significant Co-location Patterns. SSTD Sajib Barua, Jörg Sander
2010	—	`ch.`	Density-Based Clustering. Encyclopedia of Machine Learning Jörg Sander
2010	J	`jnl`	Finding the Nearest Neighbors in Biological Databases Using Less Distance Computations. IEEE ACM Trans. Comput. Biol. Bioinform. Jianjun Zhou, Jörg Sander, Zhipeng Cai, Lusheng Wang, Guohui Lin
2010	—	`ch.`	ONDOCS: Ordering Nodes to Detect Overlapping Community Structure. Data Mining for Social Network Data Jiyang Chen, Osmar R. Zaïane, Jörg Sander, Randy Goebel
2009	—	`conf`	Decomposing object-oriented class modules using an agglomerative clustering technique. ICSM Marios Fokaefs, Nikolaos Tsantalis, Alexander Chatzigeorgiou, Jörg Sander
2009	A*	`conf`	Semi-supervised Density-Based Clustering. ICDM Levi Lelis, Jörg Sander
2009	J	`jnl`	Subspace and projected clustering: experimental evaluation and analysis. Knowl. Inf. Syst. Gabriela Moise, Arthur Zimek, Peer Kröger, Hans-Peter Kriegel, Jörg Sander
2008	A*	`conf`	Finding non-redundant, statistically significant regions in high dimensional data: a novel approach to projected and subspace clustering. KDD Gabriela Moise, Jörg Sander
2008	J	`jnl`	PIST: An Efficient and Practical Indexing Technique for Historical Spatio-Temporal Point Data. GeoInformatica Viorica Botea, Daniel Mallett, Mario A. Nascimento, Jörg Sander
2008	J	`jnl`	Robust projected clustering. Knowl. Inf. Syst. Gabriela Moise, Jörg Sander, Martin Ester
2007	J	`jnl`	Adaptive processing of historical spatial range queries in peer-to-peer sensor networks. Distributed Parallel Databases Alexandru Coman, Jörg Sander, Mario A. Nascimento
2007	B	`conf`	Effective Summarization of Multi-Dimensional Data Streams for Historical Stream Mining. SSDBM Samer Nassar, Jörg Sander
2007	J	`jnl`	Efficient composite pattern finding from monad patterns. Int. J. Bioinform. Res. Appl. Jianjun Zhou, Jörg Sander, Guohui Lin
2007	B	`conf`	On Join Location in Sensor Networks. MDM Alexandru Coman, Mario A. Nascimento, Jörg Sander
2006	—	`conf`	A Classification-Based Glioma Diffusion Model Using MRI Data. Canadian AI Marianne Morris, Russell Greiner, Jörg Sander, Albert Murtha, Mark Schmidt
2006	J	`jnl`	Learning a Classification-based Glioma Growth Model Using MRI Data. J. Comput. Marianne Morris, Russell Greiner, Jörg Sander, Albert Murtha, Mark Schmidt
2006	A*	`conf`	P3C: A Robust Projected Clustering Algorithm. ICDM Gabriela Moise, Jörg Sander, Martin Ester
2006	A*	`conf`	Speedup Clustering with Hierarchical Ranking. ICDM Jianjun Zhou, Jörg Sander
2006	J	`jnl`	cisRED: a database system for genome-scale computational discovery of regulatory elements. Nucleic Acids Res. 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
2005	A*	`conf`	A Trajectory Splitting Model for Efficient Spatio-Temporal Indexing. VLDB Slobodan Rasetic, Jörg Sander, James Elding, Mario A. Nascimento
2005	J	`jnl`	A methodology for analyzing SAGE libraries for cancer profiling. ACM Trans. Inf. Syst. Jörg Sander, Raymond T. Ng, Monica C. Sleumer, Man Saint Yuen, Steven J. M. Jones
2005	—	`conf`	An Analysis of Spatio-Temporal Query Processing in Sensor Networks. ICDE Workshops Alexandru Coman, Jörg Sander, Mario A. Nascimento
2005	A	`conf`	Exploiting redundancy in sensor networks for energy efficient processing of spatiotemporal region queries. CIKM Alexandru Coman, Mario A. Nascimento, Jörg Sander
2005	—	`conf`	Segmenting Brain Tumors with Conditional Random Fields and Support Vector Machines. CVBIA Chi-Hoon Lee, Mark Schmidt, Albert Murtha, Aalo Bistritz, Jörg Sander, Russell Greiner
2004	—	`conf`	A framework for spatio-temporal query processing over wireless sensor networks. DMSN Alexandru Coman, Mario A. Nascimento, Jörg Sander
2004	—	`conf`	Incremental and Effective Data Summarization for Dynamic Hierarchical Clustering. SIGMOD Conference Samer Nassar, Jörg Sander, Corrine Cheng
2004	—	`ed.`	Spatio-Temporal Database Management, 2nd International Workshop STDBM'04, Toronto, Canada, August 30, 2004 STDBM Jörg Sander, Mario A. Nascimento
2003	J	`jnl`	Analysis of SIGMOD's Co-Authorship Graph. SIGMOD Rec. Mario A. Nascimento, Jörg Sander, Jeffrey Pound
2003	B	`conf`	Automatic Extraction of Clusters from Hierarchical Clustering Representations. PAKDD Jörg Sander, Xuejie Qin, Zhiyong Lu, Nan Niu, Alex Kovarsky
2003	A*	`conf`	Data Bubbles for Non-Vector Data: Speeding-up Hierarchical Clustering in Arbitrary Metric Spaces. VLDB Jianjun Zhou, Jörg Sander
2003	C	`conf`	Efficient Indexing of High Dimensional Normalized Histograms. DEXA Alexandru Coman, Jörg Sander, Mario A. Nascimento
2003	—	`conf`	Focused Co-citation: Improving the Retrieval of Related Pages on the Web. WWW (Posters) Gabriela Moise, Jörg Sander, Davood Rafiei
2001	—	`conf`	Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering. SIGMOD Conference Markus M. Breunig, Hans-Peter Kriegel, Peer Kröger, Jörg Sander
2001	—	`conf`	Hierarchical cluster analysis of SAGE data for cancer profiling. BIOKDD Raymond T. Ng, Jörg Sander, Monica C. Sleumer
2001	J	`jnl`	Multiple Similarity Queries: A Basic DBMS Operation for Mining in Metric Databases. IEEE Trans. Knowl. Data Eng. Bernhard Braunmüller, Martin Ester, Hans-Peter Kriegel, Jörg Sander
2000	A*	`conf`	Efficiently Supporting Multiple Similarity Queries for Mining in Metric Databases. ICDE Bernhard Braunmüller, Martin Ester, Hans-Peter Kriegel, Jörg Sander
2000	—	`conf`	Fast Hierarchical Clustering Based on Compressed Data and OPTICS. PKDD Markus M. Breunig, Hans-Peter Kriegel, Jörg Sander
2000	A*	`conf`	Independent Quantization: An Index Compression Technique for High-Dimensional Data Spaces. ICDE Stefan Berchtold, Christian Böhm, H. V. Jagadish, Hans-Peter Kriegel, Jörg Sander
2000	—	`book`	Knowledge Discovery in Databases - Techniken und Anwendungen Martin Ester, Jörg Sander
2000	—	`conf`	LOF: Identifying Density-Based Local Outliers. SIGMOD Conference Markus M. Breunig, Hans-Peter Kriegel, Raymond T. Ng, Jörg Sander
2000	J	`jnl`	Spatial Data Mining: Database Primitives, Algorithms and Efficient DBMS Support. Data Min. Knowl. Discov. Martin Ester, Alexander Frommelt, Hans-Peter Kriegel, Jörg Sander
1999	Misc	`conf`	Database Primitives for Spatial Data Mining. BTW Martin Ester, Stefan Grundlach, Hans-Peter Kriegel, Jörg Sander
1999	J	`jnl`	Generalized Density-Based Clustering for Spatial Data Mining (Abstract). Datenbank Rundbr. Jörg Sander
1999	—	`—`	Generalized density based clustering for spatial data mining. Jörg Sander
1999	—	`conf`	Knowledge Discovery in Spatial Databases. DAGM-Symposium Martin Ester, Hans-Peter Kriegel, Jörg Sander
1999	Misc	`conf`	Knowledge Discovery in Spatial Databases. KI Martin Ester, Hans-Peter Kriegel, Jörg Sander
1999	—	`conf`	OPTICS-OF: Identifying Local Outliers. PKDD Markus M. Breunig, Hans-Peter Kriegel, Raymond T. Ng, Jörg Sander
1999	—	`conf`	OPTICS: Ordering Points To Identify the Clustering Structure. SIGMOD Conference Mihael Ankerst, Markus M. Breunig, Hans-Peter Kriegel, Jörg Sander
1999	J	`jnl`	Towards the qualitative, plan-based simulation of international crises. Eur. J. Oper. Res. Wolfgang Balzer, Jörg Sander
1998	A*	`conf`	A Distribution-Based Clustering Algorithm for Mining in Large Spatial Databases. ICDE Xiaowei Xu, Martin Ester, Hans-Peter Kriegel, Jörg Sander
1998	A*	`conf`	Algorithms for Characterization and Trend Detection in Spatial Databases. KDD Martin Ester, Alexander Frommelt, Hans-Peter Kriegel, Jörg Sander
1998	J	`jnl`	Clustering for Mining in Large Spatial Databases. Künstliche Intell. Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu
1998	J	`jnl`	Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications. Data Min. Knowl. Discov. Jörg Sander, Martin Ester, Hans-Peter Kriegel, Xiaowei Xu
1998	A*	`conf`	Incremental Clustering for Mining in a Data Warehousing Environment. VLDB Martin Ester, Hans-Peter Kriegel, Jörg Sander, Michael Wimmer, Xiaowei Xu
1997	A*	`conf`	Density-Connected Sets and their Application for Trend Detection in Spatial Databases. KDD Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu
1997	—	`conf`	Spatial Data Mining: A Database Approach. SSD Martin Ester, Hans-Peter Kriegel, Jörg Sander
1996	A*	`conf`	A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. KDD Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu