Jörg Sander
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Jörg Sandercomputer-science Degrees
Computer Science
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#7056
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Machine Learning
#2259
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#2287
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Artificial Intelligence
#2526
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#2567
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Database
#3783
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#3937
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Computer Science
Jörg Sander's Degrees
- Bachelors Computer Science University of Hamburg
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Why Is Jörg Sander Influential?
(Suggest an Edit or Addition)Jörg Sander's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise (1996) (20288)
- LOF: identifying density-based local outliers (2000) (5834)
- OPTICS: ordering points to identify the clustering structure (1999) (4033)
- Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications (1998) (1296)
- Density-Based Clustering Based on Hierarchical Density Estimates (2013) (1106)
- DBSCAN Revisited, Revisited (2017) (843)
- Incremental Clustering for Mining in a Data Warehousing Environment (1998) (567)
- On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study (2016) (502)
- Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection (2015) (437)
- A distribution-based clustering algorithm for mining in large spatial databases (1998) (373)
- Density‐based clustering (2011) (335)
- Independent quantization: an index compression technique for high-dimensional data spaces (2000) (308)
- Spatial Data Mining: A Database Approach (1997) (302)
- Ensembles for unsupervised outlier detection: challenges and research questions a position paper (2014) (234)
- OPTICS-OF: Identifying Local Outliers (1999) (194)
- Spatial Data Mining: Database Primitives, Algorithms and Efficient DBMS Support (2000) (187)
- Subsampling for efficient and effective unsupervised outlier detection ensembles (2013) (165)
- Analysis of SIGMOD's co-authorship graph (2003) (153)
- Algorithms for Characterization and Trend Detection in Spatial Databases (1998) (148)
- Segmenting Brain Tumors with Conditional Random Fields and Support Vector Machines (2005) (148)
- The gender-congruency effect in picture-word tasks (1998) (146)
- Automatic Extraction of Clusters from Hierarchical Clustering Representations (2003) (143)
- Finding non-redundant, statistically significant regions in high dimensional data: a novel approach to projected and subspace clustering (2008) (140)
- Density-Based Clustering Validation (2014) (132)
- cisRED: a database system for genome-scale computational discovery of regulatory elements (2005) (118)
- P3C: A Robust Projected Clustering Algorithm (2006) (106)
- Data bubbles: quality preserving performance boosting for hierarchical clustering (2001) (96)
- Semi-supervised Density-Based Clustering (2009) (90)
- Algorithms and Applications for Spatial Data Mining (2001) (90)
- Density‐based clustering (2019) (78)
- Clustering for Mining in Large Spatial Databases (1998) (76)
- Robust projected clustering (2008) (72)
- A Trajectory Splitting Model for Efficient Spatio-Temporal Indexing (2005) (72)
- Subspace and projected clustering: experimental evaluation and analysis (2009) (70)
- PIST: An Efficient and Practical Indexing Technique for Historical Spatio-Temporal Point Data (2008) (67)
- A framework for spatio-temporal query processing over wireless sensor networks (2004) (67)
- Density-Connected Sets and their Application for Trend Detection in Spatial Databases (1997) (65)
- Mining Statistically Significant Co-location and Segregation Patterns (2014) (63)
- A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies (2013) (62)
- Decomposing object-oriented class modules using an agglomerative clustering technique (2009) (62)
- Knowledge Discovery in Spatial Databases (1999) (61)
- Efficiently supporting multiple similarity queries for mining in metric databases (2000) (53)
- On the Evaluation of Outlier Detection and One-Class Classification Methods (2016) (48)
- Knowledge Discovery in Databases (2000) (45)
- An Analysis of Spatio-Temporal Query Processing in Sensor Networks (2005) (41)
- Data perturbation for outlier detection ensembles (2014) (40)
- Incremental and effective data summarization for dynamic hierarchical clustering (2004) (39)
- Multiple Similarity Queries: A Basic DBMS Operation for Mining in Metric Databases (2001) (35)
- On Join Location in Sensor Networks (2007) (34)
- Fast Hierarchical Clustering Based on Compressed Data and OPTICS (2000) (33)
- Adaptive processing of historical spatial range queries in peer-to-peer sensor networks (2007) (32)
- Hierarchical cluster analysis of SAGE data for cancer profiling (2001) (32)
- On the internal evaluation of unsupervised outlier detection (2015) (31)
- Data Bubbles for Non-Vector Data: Speeding-up Hierarchical Clustering in Arbitrary Metric Spaces (2003) (27)
- On strategies for building effective ensembles of relative clustering validity criteria (2016) (27)
- SSCP: Mining Statistically Significant Co-location Patterns (2011) (26)
- Exploiting redundancy in sensor networks for energy efficient processing of spatiotemporal region queries (2005) (25)
- Hierarchical Density-Based Clustering Using MapReduce (2019) (23)
- Database Primitives for Spatial Data Mining (1999) (22)
- Learning a Classification-based Glioma Growth Model Using MRI Data (2006) (21)
- Model Selection for Semi-Supervised Clustering (2014) (17)
- A methodology for analyzing SAGE libraries for cancer profiling (2005) (14)
- Generalized Density-Based Clustering for Spatial Data Mining (Abstract) (1999) (12)
- Efficient Computation of Multiple Density-Based Clustering Hierarchies (2017) (12)
- Clustering and knowledge discovery in spatial databases (1997) (11)
- Active Learning Strategies for Semi-Supervised DBSCAN (2014) (11)
- A unified view of density-based methods for semi-supervised clustering and classification (2019) (10)
- Focused Co-citation: Improving the Retrieval of Related Pages on the Web (2003) (10)
- Multi-Aspect Review-Team Assignment using Latent Research Areas (2019) (10)
- Mining statistically sound co-location patterns at multiple distances (2014) (9)
- Internal Evaluation of Unsupervised Outlier Detection (2020) (9)
- Effective Summarization of Multi-Dimensional Data Streams for Historical Stream Mining (2007) (9)
- A unified framework of density-based clustering for semi-supervised classification (2018) (8)
- Finding the Nearest Neighbors in Biological Databases Using Less Distance Computations (2010) (8)
- Finding Surprisingly Frequent Patterns of Variable Lengths in Sequence Data (2016) (5)
- Combining gene expression and interaction network data to improve kidney lesion score prediction (2012) (5)
- Active Semi-Supervised Classification Based on Multiple Clustering Hierarchies (2016) (5)
- Speedup Clustering with Hierarchical Ranking (2006) (4)
- A Classification-Based Glioma Diffusion Model Using MRI Data (2006) (4)
- Efficient Computation and Visualization of Multiple Density-Based Clustering Hierarchies (2021) (4)
- Efficient composite pattern finding from monad patterns (2007) (3)
- Statistically Significant Co-location Pattern Mining (2017) (3)
- Discovering Spatial Co-Clustering Patterns in Traffic Collision Data (2013) (3)
- A Simpler and More Accurate AUTO-HDS Framework for Clustering and Visualization of Biological Data (2012) (3)
- ONDOCS: Ordering Nodes to Detect Overlapping Community Structure (2010) (2)
- MustaCHE: A Multiple Clustering Hierarchies Explorer (2018) (2)
- Towards the qualitative, plan-based simulation of international crises (1999) (1)
- Using Zotero and TAPoR on the Old Bailey Proceedings: Data Mining With Criminal Intent (2011) (1)
- Proceedings of the 13th international conference on Advances in Spatial and Temporal Databases (2011) (1)
- Correction to: A unified view of density-based methods for semi-supervised clustering and classification (2020) (1)
- A Modularity-Based Measure for Cluster Selection from Clustering Hierarchies (2018) (1)
- INTEGRATED CLUSTERING FOR MICROARRAY DATA (2006) (1)
- - 1-Algorithms and Applications for Spatial Data Mining (2001) (0)
- Efficient Indexing of High Dimensional Normalized Histograms (2003) (0)
- Proceedings of the 13th International Symposium on Advances in Spatial and Temporal Databases - Volume 8098 (2013) (0)
- Heavyweight Pattern Mining in Attributed Flow Graphs (2014) (0)
- Ordering The Database With Respect To The Clustering Structure 3 (1999) (0)
- Detecting Statistically Significant Temporal Associations from Multiple Event Sequences (2013) (0)
- Fluence Region and the Theoretical Circular Region. These Ar- Eas Coincide with the Highways Originating from Munich. . 4. Conclusions 3. Finding Interesting Regions for Trend Detection in a Geographic Information System 2. Density-connected Sets in Spatial Databases (0)
- Effectively and Efficiency Consideration for Spatial Database (2020) (0)
- A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies (2013) (0)
- OPTICS on Sequential Data: Experiments and Test Results (2018) (0)
- On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study (2016) (0)
- STRUCTURAL MODELS OF INTERNATIONAL CRISES by W.Balzer, A.Gayhoff and J.Sander (2011) (0)
- STRUCTURAL MODELS OF INTERNATIONAL CRISES (1992) (0)
- On strategies for building effective ensembles of relative clustering validity criteria (2015) (0)
- Similarity-Based Unsupervised Evaluation of Outlier Detection (2022) (0)
- Analyzing and visualizing the canadian research landscape (2019) (0)
- OPTICS on Sequential Data: Experiments and Test Results (2018) (0)
- Effectively Retrieving Related Pages on the Web using Focused Co-citation (2004) (0)
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What Schools Are Affiliated With Jörg Sander?
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