Arthur Zimek
#50,007
Most Influential Person Now
Professor for data mining, data science and machine learning
Arthur Zimek's AcademicInfluence.com Rankings
Arthur Zimekcomputer-science Degrees
Computer Science
#1886
World Rank
#1960
Historical Rank
Data Mining
#69
World Rank
#69
Historical Rank
Data Science
#256
World Rank
#261
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Machine Learning
#528
World Rank
#534
Historical Rank
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Computer Science
Arthur Zimek's Degrees
- PhD Computer Science Ludwig Maximilian University of Munich
- Masters Computer Science University of Konstanz
- Bachelors Computer Science University of Konstanz
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Why Is Arthur Zimek Influential?
(Suggest an Edit or Addition)According to Wikipedia, Arthur Zimek is a professor in data mining, data science and machine learning at the University of Southern Denmark in Odense, Denmark. He graduated from the Ludwig Maximilian University of Munich in Munich, Germany, where he worked with Prof. Hans-Peter Kriegel. His dissertation on "Correlation Clustering" was awarded the "SIGKDD Doctoral Dissertation Award 2009 Runner-up" by the Association for Computing Machinery.
Arthur Zimek'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
- Clustering high-dimensional data: A survey on subspace clustering, pattern-based clustering, and correlation clustering (2009) (1177)
- Angle-based outlier detection in high-dimensional data (2008) (701)
- A survey on unsupervised outlier detection in high‐dimensional numerical data (2012) (675)
- On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study (2016) (502)
- LoOP: local outlier probabilities (2009) (470)
- Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection (2015) (437)
- Density‐based clustering (2011) (335)
- Can Shared-Neighbor Distances Defeat the Curse of Dimensionality? (2010) (288)
- Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data (2009) (262)
- Local outlier detection reconsidered: a generalized view on locality with applications to spatial, video, and network outlier detection (2012) (261)
- Interpreting and Unifying Outlier Scores (2011) (238)
- Ensembles for unsupervised outlier detection: challenges and research questions a position paper (2014) (234)
- Future trends in data mining (2007) (196)
- Computing Clusters of Correlation Connected objects (2004) (185)
- The (black) art of runtime evaluation: Are we comparing algorithms or implementations? (2017) (172)
- Subsampling for efficient and effective unsupervised outlier detection ensembles (2013) (165)
- A Framework for Clustering Uncertain Data (2015) (161)
- On Evaluation of Outlier Rankings and Outlier Scores (2012) (161)
- A survey on enhanced subspace clustering (2013) (160)
- Generalized Outlier Detection with Flexible Kernel Density Estimates (2014) (147)
- Density-Based Clustering Validation (2014) (132)
- On Using Class-Labels in Evaluation of Clusterings (2010) (126)
- A General Framework for Increasing the Robustness of PCA-Based Correlation Clustering Algorithms (2008) (119)
- Density-based Projected Clustering over High Dimensional Data Streams (2012) (113)
- Outlier Detection in Arbitrarily Oriented Subspaces (2012) (112)
- ELKI: A Software System for Evaluation of Subspace Clustering Algorithms (2008) (103)
- Evaluation of Clusterings -- Metrics and Visual Support (2012) (95)
- There and back again: Outlier detection between statistical reasoning and data mining algorithms (2018) (93)
- Detection and Visualization of Subspace Cluster Hierarchies (2007) (85)
- Interactive data mining with 3D-parallel-coordinate-trees (2013) (82)
- Discriminative features for identifying and interpreting outliers (2014) (76)
- Subspace and projected clustering: experimental evaluation and analysis (2009) (70)
- Robust, Complete, and Efficient Correlation Clustering (2007) (70)
- A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies (2013) (62)
- On Exploring Complex Relationships of Correlation Clusters (2007) (62)
- Global Correlation Clustering Based on the Hough Transform (2008) (61)
- Finding Hierarchies of Subspace Clusters (2006) (59)
- Mining Hierarchies of Correlation Clusters (2006) (51)
- ELKI: A large open-source library for data analysis - ELKI Release 0.7.5 "Heidelberg" (2019) (50)
- A Study of Hierarchical and Flat Classification of Proteins (2010) (48)
- On the Evaluation of Outlier Detection and One-Class Classification Methods (2016) (48)
- Visual Evaluation of Outlier Detection Models (2010) (42)
- The blind men and the elephant: on meeting the problem of multiple truths in data from clustering and pattern mining perspectives (2013) (41)
- Fast and Scalable Outlier Detection with Approximate Nearest Neighbor Ensembles (2015) (40)
- Data perturbation for outlier detection ensembles (2014) (40)
- Deriving quantitative models for correlation clusters (2006) (40)
- Robust Clustering in Arbitrarily Oriented Subspaces (2008) (34)
- Representative clustering of uncertain data (2014) (33)
- Spatial Outlier Detection: Data, Algorithms, Visualizations (2011) (32)
- On the internal evaluation of unsupervised outlier detection (2015) (31)
- Outlier Detection in Urban Traffic Data (2018) (29)
- Geodetic Distance Queries on R-Trees for Indexing Geographic Data (2013) (28)
- On strategies for building effective ensembles of relative clustering validity criteria (2016) (27)
- Density Based Subspace Clustering over Dynamic Data (2011) (26)
- Clustering High-Dimensional Data (2018) (25)
- Correlation clustering (2009) (25)
- Evaluation of Multiple Clustering Solutions (2011) (25)
- On the Correlation Between Local Intrinsic Dimensionality and Outlierness (2018) (24)
- Subspace Clustering, Ensemble Clustering, Alternative Clustering, Multiview Clustering: What Can We Learn From Each Other? (2010) (23)
- Dimensional Testing for Reverse k-Nearest Neighbor Search (2017) (23)
- Outlier Detection in Urban Traffic Flow Distributions (2018) (23)
- ELKI in Time: ELKI 0.2 for the Performance Evaluation of Distance Measures for Time Series (2009) (23)
- MDCGen: Multidimensional Dataset Generator for Clustering (2019) (21)
- Outlier Detection Based on Low Density Models (2018) (19)
- Quality of Similarity Rankings in Time Series (2011) (19)
- An Unsupervised Boosting Strategy for Outlier Detection Ensembles (2018) (18)
- Intrinsic Dimensional Outlier Detection in High-Dimensional Data (2015) (17)
- Detecting clusters in moderate-to-high dimensional data: subspace clustering, pattern-based clustering, and correlation clustering (2008) (17)
- Model Selection for Semi-Supervised Clustering (2014) (17)
- Redundancies in Data and their Effect on the Evaluation of Recommendation Systems: A Case Study on the Amazon Reviews Datasets (2017) (17)
- Subspace Similarity Search: Efficient k-NN Queries in Arbitrary Subspaces (2010) (17)
- Good and Bad Neighborhood Approximations for Outlier Detection Ensembles (2017) (16)
- Supervised Ensembles of Prediction Methods for Subcellular Localization (2009) (14)
- Outlier Detection and Trend Detection: Two Sides of the Same Coin (2015) (13)
- Subspace similarity search using the ideas of ranking and top-k retrieval (2010) (13)
- Absolute Cluster Validity (2020) (12)
- Towards subspace clustering on dynamic data: an incremental version of PreDeCon (2010) (11)
- Active Learning Strategies for Semi-Supervised DBSCAN (2014) (11)
- Frequent Pattern Mining Algorithms for Data Clustering (2014) (11)
- A unified view of density-based methods for semi-supervised clustering and classification (2019) (10)
- Subspace Clustering Techniques (2009) (10)
- Internal Evaluation of Unsupervised Outlier Detection (2020) (9)
- A unified framework of density-based clustering for semi-supervised classification (2018) (8)
- On the Evaluation of Outlier Detection: Measures, Datasets, and an Empirical Study Continued (2016) (8)
- Subspace Determination Through Local Intrinsic Dimensional Decomposition (2019) (7)
- When pattern met subspace cluster a relationship story (2011) (6)
- Establishing a many-cytokine signature via multivariate anomaly detection (2019) (6)
- COSMIC: Conceptually Specified Multi-Instance Clusters (2006) (5)
- Outlier Detection in Graphs: On the Impact of Multiple Graph Models (2018) (5)
- Outlier detection in graphs: A study on the impact of multiple graph models (2019) (4)
- Investigating a Correlation between Subcellular Localization and Fold of Proteins (2010) (4)
- Density-Based Data Analysis and Similarity Search (2007) (4)
- Service Bus (2009) (4)
- Subspace Determination through Local Intrinsic Dimensional Decomposition: Theory and Experimentation (2019) (4)
- Outlier detection for high dimensional data pdf (2015) (4)
- XPROAX-Local explanations for text classification with progressive neighborhood approximation (2021) (3)
- Explainable Detection of Zero Day Web Attacks (2020) (2)
- BeyOND — Unleashing BOND (2011) (2)
- Outlier Detection (2018) (2)
- Proceedings of the 4th MultiClust Workshop on Multiple Clusterings, Multi-view Data, and Multi-source Knowledge-driven Clustering (2013) (2)
- Interpretability and Refinement of Clustering (2020) (2)
- Outlier Detection with Explanations on Music Streaming Data: A Case Study with Danmark Music Group Ltd. (2021) (2)
- Similarity Search in Time Series of Dynamical Model-based Systems (2010) (2)
- 1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2019) (2019) (2)
- Secret-Key Encryption (2009) (1)
- Non-parametric Semi-supervised Learning by Bayesian Label Distribution Propagation (2021) (1)
- Matching Research Publications to the United Nations’ Sustainable Development Goals by Multi-Label-Learning with Hierarchical Categories (2020) (1)
- Are Network Attacks Outliers? A Study of Space Representations and Unsupervised Algorithms (2019) (1)
- Clustering refinement (2021) (1)
- Detecting Wandering Behavior of People with Dementia (2021) (1)
- Correction to: A unified view of density-based methods for semi-supervised clustering and classification (2020) (1)
- Evaluation of Probability Distribution Distance Metrics in Traffic Flow Outlier Detection (2022) (1)
- Statistical Decision Techniques (2009) (1)
- The (black) art of runtime evaluation: Are we comparing algorithms or implementations? (2016) (1)
- Proceedings of the 1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning co-located with SIAM International Conference on Data Mining (SDM 2019) (2019) (1)
- When Pattern Met Subspace Cluster (2011) (1)
- Evaluation and experimental design in data mining and machine learning: Motivation and summary of EDML 2019 (2019) (1)
- Service Choreography (2009) (0)
- Call for Special Issue Papers: Evaluation and Experimental Design in Data Mining and Machine Learning (2020) (0)
- Dimensionality and Scalability (NII Shonan Meeting 2013-4) (2013) (0)
- MDCGen: Multidimensional Dataset Generator for Clustering (2019) (0)
- Service Item (2020) (0)
- Spatio-Temporal Graphs (2009) (0)
- Call for Special Issue Papers: Evaluation and Experimental Design in Data Mining and Machine Learning. (2020) (0)
- On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study (2016) (0)
- Explaining text classifiers through progressive neighborhood approximation with realistic samples (2023) (0)
- MultiClust 2013: Multiple Clusterings, Multi-view Data, and Multi-source Knowledge-driven Clustering (2013) (0)
- Storage Array (2009) (0)
- Improving Semantic Similarity of Words by Retrofitting Word Vectors in Sense Level (2020) (0)
- 3rd MultiClust Workshop: Discovering, Summarizing and Using Multiple Clusterings, MultiClust '12, in conjunction with SDM 2012, Anaheim, CA, USA, April 28, 2012, Anaheim, CA, USA, April 28, 2012 (2012) (0)
- A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies (2013) (0)
- There and Back Again Outlier Detection between Statistical Reasoning and Efficient Database Methods (2012) (0)
- Similarity-Based Unsupervised Evaluation of Outlier Detection (2022) (0)
- Handling Class Imbalance in k-Nearest Neighbor Classification by Balancing Prior Probabilities (2021) (0)
- Local outlier detection reconsidered: a generalized view on locality with applications to spatial, video, and network outlier detection (2012) (0)
- Establishing a many-cytokine signature via multivariate anomaly detection (2019) (0)
- Supervised Ensembles of Prediction Methods for Subcellular Localization. (2007) (0)
- Power of Explanations: Towards automatic debiasing in hate speech detection (2022) (0)
- Spatial Analysis (2018) (0)
- Dimensionality and Scalability II: Hands-On Intrinsic Dimensionality (NII Shonan Meeting 2015-9) (2015) (0)
- The blind men and the elephant: on meeting the problem of multiple truths in data from clustering and pattern mining perspectives (2013) (0)
- Call for Special Issue Papers: Evaluation and Experimental Design in Data Mining and Machine Learning. (2020) (0)
- A survey on enhanced subspace clustering (2012) (0)
- Statistical Disclosure Control (SDC) (2009) (0)
- Similarity Search and Applications: 13th International Conference, SISAP 2020, Copenhagen, Denmark, September 30 – October 2, 2020, Proceedings (2020) (0)
- Unsupervised Representation Learning on Attributed Multiplex Network (2022) (0)
- MultiClust 2013: Multiple Clusterings, Multiview Data, and Multisource Knowledgedriven Clustering: [Workshop Report] (2016) (0)
- A Simple Meta-path-free Framework for Heterogeneous Network Embedding (2022) (0)
- Analyzing Passing Sequences for the Prediction of Goal-Scoring Opportunities (2022) (0)
- University of Southern Denmark Outlier detection in graphs (2019) (0)
- On strategies for building effective ensembles of relative clustering validity criteria (2015) (0)
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What Schools Are Affiliated With Arthur Zimek?
Arthur Zimek is affiliated with the following schools:
