Billede af Arthur Zimek

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Arthur Zimek

Dr. rer. nat. habil.

 https://orcid.org/0000-0001-7713-4208
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  • 2025

    A Dynamic Evaluation Metric for Feature Selection: Feature Selection Dynamic Evaluation Metric

    Rajabinasab, M., Lautrup, A. D., Hyrup, T. & Zimek, A., 2025, Similarity Search and Applications: 17th International Conference, SISAP 2024, Providence, RI, USA, November 4–6, 2024, Proceedings. Chávez, E., Kimia, B., Lokoč, J., Patella, M. & Sedmidubsky, J. (red.). Springer, s. 65–72

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  • 2024

    Dimensionality-Aware Outlier Detection

    Anderberg, A., Bailey, J., Campello, R. J. G. B., Houle, M. E., Marques, H. O., Radovanović, M. & Zimek, A., 2024, Proceedings of the 2024 SIAM International Conference on Data Mining, SDM 2024. Shekhar, S., Papalexakis, V., Gao, J., Jiang, Z. & Riondato, M. (red.). Society for Industrial and Applied Mathematics, s. 652-660 9 s.

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  • Transparent Neighborhood Approximation for Text Classifier Explanation by Probability-Based Editing

    Cai, Y., Zimek, A., Ntoutsi, E. & Wunder, G., 2024, Proceedings of the 11th International Conference on Data Science and Advanced Analytics: DSAA 2024. IEEE, s. 1-10

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  • 2023

    Analyzing Passing Sequences for the Prediction of Goal-Scoring Opportunities

    McCarthy, C., Tampakis, P., Chiarandini, M., Randers, M. B., Jänicke, S. & Zimek, A., 25. feb. 2023, Machine Learning and Data Mining for Sports Analytics - 9th International Workshop, MLSA 2022, Revised Selected Papers. Brefeld, U., Davis, J., Van Haaren, J. & Zimmermann, A. (red.). Springer Science+Business Media, s. 27-40 (Communications in Computer and Information Science, Bind 1783 CCIS).

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  • An Interpretable Measure of Dataset Complexity for Imbalanced Classification Problems

    Gøttcke, J. M. N., Bellinger, C., Branco, P. & Zimek, A., 2023, 2023 SIAM International Conference on Data Mining, SDM 2023. Society for Industrial and Applied Mathematics, s. 253-261 9 s.

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  • SDOclust: Clustering with Sparse Data Observers

    Iglesias, F., Zseby, T., Hartl, A. & Zimek, A., 2023, Similarity Search and Applications - 16th International Conference, SISAP 2023, Proceedings. Pedreira, O. & Estivill-Castro, V. (red.). Springer Science+Business Media, s. 185-199 (Lecture Notes in Computer Science, Bind 14289).

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  • 2022

    A simple meta-path-free framework for heterogeneous network embedding

    Zhang, R., Zimek, A. & Schneider-Kamp, P., 17. okt. 2022, CIKM 2022 - Proceedings of the 31st ACM International Conference on Information and Knowledge Management. Association for Computing Machinery / Special Interest Group on Programming Languages, s. 2600-2609

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  • Evaluation of probability distribution distance metrics in traffic flow outlier detection

    Andersen, E., Chiarandini, M., Hassani, M., Janicke, S., Tampakis, P. & Zimek, A., 2022, Proceedings - 2022 23rd IEEE International Conference on Mobile Data Management, MDM 2022. IEEE, s. 64-69 (Proceedings of the IEEE International Conference on Mobile Data Management, Bind 2022-June).

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  • Power of Explanations: Towards automatic debiasing in hate speech detection

    Cai, Y., Zimek, A., Wunder, G. & Ntoutsi, E., 2022, 2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA). IEEE, 10 s.

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  • Similarity-Based Unsupervised Evaluation of Outlier Detection

    Marques, H. O., Zimek, A., Campello, R. J. G. B. & Sander, J., 2022, Similarity Search and Applications - 15th International Conference, SISAP 2022, Proceedings. Skopal, T., Lokoč, J., Falchi, F., Sapino, M. L., Bartolini, I. & Patella, M. (red.). Springer Science+Business Media, s. 234-248 (Lecture Notes in Computer Science, Bind 13590 LNCS).

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  • Unsupervised representation learning on attributed multiplex network

    Zhang, R., Zimek, A. & Schneider-Kamp, P., 17. okt. 2022, CIKM 2022 - Proceedings of the 31st ACM International Conference on Information and Knowledge Management. Association for Computing Machinery / Special Interest Group on Programming Languages, s. 2610-2619

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  • 2021

    Detecting Wandering Behavior of People with Dementia

    Andersen, N. S., Chiarandini, M., Tampakis, P., Jänicke, S. & Zimek, A., 2021, Proceedings - 2021 International Conference on Data Mining Workshops (ICDMW). Xue, B., Pechenizkiy, M. & Koh, Y. S. (red.). IEEE, s. 727-733 7 s.

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  • Handling Class Imbalance in k-Nearest Neighbor Classification by Balancing Prior Probabilities

    Gøttcke, J. M. N. & Zimek, A., 2021, Similarity Search and Applications: 14th International Conference. Reyes, N., Connor, R., Kriege, N., Kazempour, D., Bartolini, I., Schubert, E. & Chen, J.-J. (red.). Springer Science+Business Media, s. 247-261 (Lecture Notes in Computer Science, Bind 13058 LNCS).

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  • Non-parametric Semi-supervised Learning by Bayesian Label Distribution Propagation

    Gøttcke, J. M. N., Zimek, A. & Campello, R. J. G. B., 2021, Similarity Search and Applications: 14th International Conference. Reyes, N., Connor, R., Kriege, N., Kazempour, D., Bartolini, I., Schubert, E. & Chen, J.-J. (red.). Springer Science+Business Media, s. 118-132 (Lecture Notes in Computer Science, Bind 13058 LNCS).

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  • XPROAX-Local explanations for text classification with progressive neighborhood approximation

    Cai, Y., Zimek, A. & Ntoutsi, E., 20. okt. 2021, 2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA). IEEE, s. 1-10

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  • 2020

    Are Network Attacks Outliers? A Study of Space Representations and Unsupervised Algorithms

    Iglesias, F., Hartl, A., Zseby, T. & Zimek, A., 2020, Machine Learning and Knowledge Discovery in Databases - International Workshops of ECML PKDD 2019, Proceedings. Cellier, P. & Driessens, K. (red.). Springer, s. 159-175 (Communications in Computer and Information Science, Bind 1168 CCIS).

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  • Explainable detection of zero day web attacks

    Sejr, J. H., Zimek, A. & Schneider-Kamp, P., jun. 2020, Proceedings - 2020 3rd International Conference on Data Intelligence and Security, ICDIS 2020. IEEE, s. 71-78 9323006

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  • Improving semantic similarity of words by retrofitting word vectors in sense level

    Zhang, R., Schneider-Kamp, P. & Zimek, A., 2020, Proceedings of the 12th International Conference on Agents and Artificial Intelligence. Rocha, A., Steels, L. & van den Herik, J. (red.). SCITEPRESS Digital Library, s. 108-119

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  • Interpretability and refinement of clustering

    Vazquez, F. I., Zseby, T. & Zimek, A., 2020, Proceedings - 2020 IEEE 7th International Conference on Data Science and Advanced Analytics, DSAA 2020. Webb, G., Zhang, Z., Tseng, V. S., Williams, G., Vlachos, M. & Cao, L. (red.). IEEE, s. 21-29

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  • Matching research publications to the united nations' sustainable development goals by multi-label-learning with hierarchical categories

    Zhang, R., Vignes, M., Steiner, U. & Zimek, A., okt. 2020, Proceedings - 2020 IEEE 7th International Conference on Data Science and Advanced Analytics, DSAA 2020. Webb, G., Zhang, Z., Tseng, V. S., Williams, G., Vlachos, M. & Cao, L. (red.). IEEE, s. 516-525 9260025

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  • 2019

    Subspace Determination Through Local Intrinsic Dimensional Decomposition

    Becker, R., Hafnaoui, I., Houle, M. E., Li, P. & Zimek, A., 2019, Similarity Search and Applications - 12th International Conference, SISAP 2019, Newark, NJ, USA, October 2-4, 2019, Proceedings. Amato, G., Gennaro, C., Oria, V. & Radovanovic, M. (red.). Springer, s. 281-289 (Lecture Notes in Computer Science, Bind 11807).

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  • 2018

    An Unsupervised Boosting Strategy for Outlier Detection Ensembles

    Campos, G. O., Zimek, A. & Meira Jr., W., 2018, Advances in Knowledge Discovery and Data Mining: Proceedings, Part I. Phung, D., S. Tseng, V., I. Webb, G., Ho, B., Ganji, M. & Rashidi, L. (red.). Springer, Bind 10937. s. 564-576 (Lecture Notes in Computer Science, Bind 10937). (Lecture Notes in Artificial Intelligence, Bind 10937).

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  • A unified framework of density-based clustering for semi-supervised classification

    Gertrudes, J. C., Zimek, A., Sander, J. & Campello, R. J. G. B., 9. jul. 2018, Proceedings of the 30th International Conference on Scientific and Statistical Database Management: SSDBM '18. Bohlen, M., Gamper, J., Kroger, P. & Sacharidis, D. (red.). Association for Computing Machinery, 12 s. 11

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  • On the Correlation Between Local Intrinsic Dimensionality and Outlierness

    Houle, M. E., Schubert, E. & Zimek, A., 2018, Similarity Search and Applications - 11th International Conference, SISAP 2018, Proceedings. Marchand-Maillet, S., Silva, Y. N. & Chávez, E. (red.). Springer, s. 177-191 (Lecture Notes in Computer Science, Bind 11223).

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  • Outlier detection based on low density models

    Iglesias Vazquez, F., Zseby, T. & Zimek, A., 2018, Proceedings of the 18th IEEE International Conference on Data Mining Workshops, ICDMW 2018. Yu, J., Li, Z., Tong, H. & Zhu, F. (red.). IEEE Press, s. 970-979 8637447. (Proceedings - IEEE International Conference on Data Mining Workshops (ICDMW), Bind 2018-November).

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  • Outlier Detection in Graphs: On the Impact of Multiple Graph Models

    Campos, G. O., Meira Jr., W. & Zimek, A., 25. jun. 2018, Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics: WIMS 2018. Badica, C., Akerkar, R., Ivanovic, M., Savic, M., Radovanovic, M., Kim, S.-W., Rosati, R. & Manolopoulos, Y. (red.). Association for Computing Machinery, 12 s. 21

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  • Outlier Detection in Urban Traffic Data

    Djenouri, Y. & Zimek, A., 25. jun. 2018, Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics, WIMS 2018. Badica, C., Akerkar, R., Ivanovic, M., Savic, M., Radovanovic, M., Kim, S.-W., Rosati, R. & Manolopoulos, Y. (red.). Association for Computing Machinery, 12 s. 3

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  • Outlier Detection in Urban Traffic Flow Distributions

    Djenouri, Y., Zimek, A. & Chiarandini, M., 31. dec. 2018, 2018 IEEE International Conference on Data Mining. IEEE, s. 935-940

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  • 2017

    Good and Bad Neighborhood Approximations for Outlier Detection Ensembles

    Kirner, E., Schubert, E. & Zimek, A., 2017, Proceedings of the 10th International Conference on Similarity Search and Applications. Beecks, C., Borutta, F., Kröger, P. & Seidl, T. (red.). Cham: Springer, s. 173-187 (Lecture Notes in Computer Science, Bind 10609).

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  • Redundancies in Data and their Effect on the Evaluation of Recommendation Systems: A Case Study on the Amazon Reviews Datasets

    Basaran, D., Ntoutsi, E. & Zimek, A., 2017, Proceedings of the 2017 SIAM International Conference on Data Mining. Society for Industrial and Applied Mathematics, Bind 17. s. 390-398 (SIAM Data Mining).

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  • 2016

    On the Evaluation of Outlier Detection and One-Class Classification Methods

    Swersky, L., Marques, H. O., Sander, J., Campello, R. J. G. B. & Zimek, A., 2016, 3rd IEEE International Conference on Data Science and Advanced Analytics : DSAA 2016 . Bilof, R. (red.). IEEE Press, Bind 2016. s. 1-10

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  • 2015

    Outlier Detection and Trend Detection: Two Sides of the Same Coin

    Schubert, E., Weiler, M. & Zimek, A., 2015, IEEE International Conference on Data Mining Workshop, ICDMW 2015, Atlantic City, NJ, USA, November 14-17, 2015. IEEE Computer Society Press, s. 40-46 7 s.

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  • 2014

    Active learning strategies for semi-supervised DBSCAN

    Li, J., Sander, J., Campello, R. & Zimek, A., 2014, Advances in Artificial Intelligence: Proceedings of the 27th Canadian Conference on Artificial Intelligence. Sokolova, M. & van Beek, P. (red.). Springer, s. 179-190 (Lecture Notes in Computer Science, Bind 8436).

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  • Data perturbation for outlier detection ensembles

    Zimek, A., Campello, R. J. G. B. & Sander, J., 2014, Proceedings of the 26th International Conference on Scientific and Statistical Database Management. Association for Computing Machinery, 12 s. 13

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  • Density-based clustering validation

    Moulavi, D., Jaskowiak, P. A., Campello, R. J. G. B., Zimek, A. & Sander, J., 2014, Proceedings of the 2014 SIAM International Conference on Data Mining. Zaki, M., Obradovic, Z., Ning-Tan, P., Banerjee, A., Kamath, C. & Parthasarathy, S. (red.). Society for Industrial and Applied Mathematics, s. 839-847

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  • Discriminative features for identifying and interpreting outliers

    Dang, X. H., Assent, I., Ng, R. T., Zimek, A. & Schubert, E., 14. maj 2014, Proceedings of the 2014 IEEE 30th International Conference on Data Engineering. IEEE, s. 88-99 (Proceedings of the International Conference on Data Engineering).

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  • Generalized outlier detection with flexible kernel density estimates

    Schubert, E., Zimek, A. & Kriegel, H. P., 2014, Proceedings of the 2014 SIAM International Conference on Data Mining. Zaki, M., Obradovic, Z., Ning-Tan, P., Banerjee, A., Kamath, C. & Parthasarathy, S. (red.). Society for Industrial and Applied Mathematics, s. 542-550

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  • Model selection for semi-supervised clustering

    Pourrajabi, M., Zimek, A., Moulavi, D., Sander, J., Campello, R. J. G. B. & Goebel, R., 2014, Advances in Database Technology - EDBT 2014: Proc. 17th International Conference on Extending Database Technology. Leroy, V., Christophides, V., Christophides, V., Idreos, S., Kementsietsidis, A., Garofalakis, M. & Amer-Yahia, S. (red.). OpenProceedings, s. 331-342

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  • Representative clustering of uncertain data

    Züfle, A., Emrich, T., Schmid, K. A., Mamoulis, N., Zimek, A. & Renz, M., 24. aug. 2014, Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, s. 243-252

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  • 2013

    Geodetic distance queries on R-trees for indexing geographic data

    Schubert, E., Zimek, A. & Kriegel, H. P., 13. aug. 2013, Advances in Spatial and Temporal Databases - 13th International Symposium, SSTD 2013, Proceedings. Nascimento, M. A. (red.). Springer, s. 146-164 (Lecture Notes in Computer Science, Bind 8098).

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  • Interactive data mining with 3D-parallel-coordinate-trees

    Achtert, E., Kriegel, H. P., Schubert, E. & Zimek, A., 29. jul. 2013, Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data. Association for Computing Machinery, s. 1009-1012

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  • Subsampling for efficient and effective unsupervised outlier detection ensembles

    Zimek, A., Gaudet, M., Campello, R. J. G. B. & Sander, J., 11. aug. 2013, Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Ghani, R., Senator, T. E., Bradley, P., Parekh, R. & He, J. (red.). Association for Computing Machinery, s. 428-436

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  • 2012

    Density-based projected clustering over high dimensional data streams

    Ntoutsi, I., Zimek, A., Palpanas, T., Kröger, P. & Kriegel, H. P., dec. 2012, Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012. Ghosh, J., Liu, H., Davidson, I., Domeniconi, C. & Kamath, C. (red.). Society for Industrial and Applied Mathematics, s. 987-998

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  • Evaluation of clusterings - Metrics and visual support

    Achtert, E., Goldhofer, S., Kriegel, H. P., Schubert, E. & Zimek, A., 30. jul. 2012, Proceedings of the 2012 IEEE 28th International Conference on Data Engineering. IEEE, s. 1285-1288 (Proceedings of the International Conference on Data Engineering).

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  • On evaluation of outlier rankings and outlier scores

    Schubert, E., Wojdanowski, R., Zimek, A. & Kriegel, H. P., dec. 2012, Proceedings of the 12th SIAM International Conference on Data Mining. Ghosh, J., Liu, H., Davidson, I., Domeniconi, C. & Kamath, C. (red.). s. 1047-1058

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  • Outlier detection in arbitrarily oriented subspaces

    Kriegel, H. P., Kröger, P., Schubert, E. & Zimek, A., dec. 2012, Proceedings of the 12th IEEE International Conference on Data Mining, ICDM 2012. IEEE, s. 379-388

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  • 2011

    Density based subspace clustering over dynamic data

    Kriegel, H. P., Kröger, P., Ntoutsi, I. & Zimek, A., 11. aug. 2011, Scientific and Statistical Database Management - 23rd International Conference, SSDBM 2011, Proceedings. Pfoser, D. (red.). Springer, s. 387-404 (Lecture Notes in Computer Science, Bind 6849).

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  • Interpreting and unifying outlier scores

    Kriegel, H. P., Kröger, P., Schubert, E. & Zimek, A., dec. 2011, Proceedings of the 11th SIAM International Conference on Data Mining, SDM 2011. Liu, B., Liu, H., Clifton, C., Washio, T. & Kamath, C. (red.). Society for Industrial and Applied Mathematics, s. 13-24

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  • Quality of similarity rankings in time series

    Bernecker, T., Houle, M. E., Kriegel, H. P., Kröger, P., Renz, M., Schubert, E. & Zimek, A., 19. sep. 2011, Advances in Spatial and Temporal Databases - 12th International Symposium, SSTD 2011, Proceedings. Pfoser, D. (red.). Springer, s. 422-440 (Lecture Notes in Computer Science, Bind 6849).

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  • Spatial outlier detection: Data, algorithms, visualizations

    Achtert, E., Hettab, A., Kriegel, H. P., Schubert, E. & Zimek, A., 19. sep. 2011, Advances in Spatial and Temporal Databases - 12th International Symposium, SSTD 2011, Proceedings. Pfoser, D. (red.). Springer, s. 512-516 (Lecture Notes in Computer Science, Bind 6849).

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