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Konferencebidrag i proceedings

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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 (ICAART 2020 - Proceedings of the 12th International Conference on Agents and Artificial Intelligence, Bind 2).

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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 VS, 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. (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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  • 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 VS, 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 Publications, 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 Publications, 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 - 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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  • 2010

    Can shared-neighbor distances defeat the curse of dimensionality?

    Houle, M. E., Kriegel, H. P., Kröger, P., Schubert, E. & Zimek, A., 3. aug. 2010, Scientific and Statistical Database Management - 22nd International Conference, SSDBM 2010, Proceedings. Gertz, M. & Ludäscher, B. (red.). Springer, s. 482-500 (Lecture Notes in Computer Science, Bind 6187).

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  • Similarity search in time series of dynamical model-based systems

    Kawagoe, K., Bernecker, T., Kriegel, H. P., Renz, M., Zimek, A. & Züfle, A., 24. nov. 2010, Proceedings of the 21st International Workshop on Database and Expert Systems Applications, DEXA 2010. IEEE, s. 110-114

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  • Subspace similarity search: Efficient k-NN queries in arbitrary subspaces

    Bernecker, T., Emrich, T., Graf, F., Kriegel, H. P., Kröger, P., Renz, M., Schubert, E. & Zimek, A., 3. aug. 2010, Scientific and Statistical Database Management - 22nd International Conference, SSDBM 2010, Proceedings. Springer, s. 555-564 (Lecture Notes in Computer Science, Bind 6187).

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  • Subspace similarity search using the ideas of ranking and top-k retrieval

    Bernecker, T., Emrich, T., Graf, F., Kriegel, H. P., Kröger, P., Renz, M., Schubert, E. & Zimek, A., 28. maj 2010, ICDE Workshops 2010 - The 2010 IEEE 26th International Conference on Data Engineering Workshops. IEEE, s. 4-9

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  • Towards subspace clustering on dynamic data: An incremental version of PreDeCon

    Kriegel, H. P., Kröger, P., Ntoutsi, I. & Zimek, A., 25. jul. 2010, Proceedings of the 1st International Workshop on Novel Data Stream Pattern Mining Techniques, StreamKDD'10, Held in Conjunction with the 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, s. 31-38

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  • Visual evaluation of outlier detection models

    Achtert, E., Kriegel, H. P., Reichert, L., Schubert, E., Wojdanowski, R. & Zimek, A., 28. dec. 2010, Database Systems for Advanced Applications - 15th International Conference, DASFAA 2010, Proceedings. Kitagawa, H., Ishikawa, Y., Li, Q. & Watanabe, C. (red.). PART 2 udg. Springer, s. 396-399 (Lecture Notes in Computer Science, Bind 5982).

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  • 2009

    ELKI in time: ELKI 0.2 for the performance evaluation of distance measures for time series

    Achtert, E., Bernecker, T., Kriegel, H. P., Schubert, E. & Zimek, A., 2. nov. 2009, Advances in Spatial and Temporal Databases - 11th International Symposium, SSTD 2009, Proceedings. Mamoulis, N., Seidl, T., Pedersen, T. B., Torp, K. & Assent, I. (red.). Springer, s. 436-440 (Lecture Notes in Computer Science, Bind 5644).

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  • LoOP: Local outlier probabilities

    Kriegel, H. P., Kröger, P., Schubert, E. & Zimek, A., dec. 2009, Proceedings of the 18th ACM conference on Information and knowledge management. Association for Computing Machinery, s. 1649-1652

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  • Outlier detection in axis-parallel subspaces of high dimensional data

    Kriegel, H. P., Kr̈oger, P., Schubert, E. & Zimek, A., 23. jul. 2009, 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009. Theeramunkong, T., Kijsirikul, B., Cercone, N. & Ho, TB. (red.). Springer, s. 831-838 (Lecture Notes in Computer Science, Bind 5476).

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  • 2008

    A general framework for increasing the robustness of PCA-based correlation clustering algorithms

    Kriegel, H. P., Kröger, P., Schubert, E. & Zimek, A., 14. aug. 2008, Scientific and Statistical Database Management - 20th International Conference, SSDBM 2008, Proceedings. Ludäscher, B. & Mamoulis, N. (red.). Springer, s. 418-435 (Lecture Notes in Computer Science, Bind 5069).

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  • Angle-based outlier detection in high-dimensional data

    Kriegel, H. P., Schubert, M. & Zimek, A., dec. 2008, Proceedings of the 14th ACMKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, s. 444-452

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  • ELKI: A software system for evaluation of subspace clustering algorithms

    Achtert, E., Kriegel, H. P. & Zimek, A., 14. aug. 2008, Scientific and Statistical Database Management - 20th International Conference, SSDBM 2008, Proceedings. Ludäscher, B. & Mamoulis, N. (red.). Springer, s. 580-585 (Lecture Notes in Computer Science, Bind 5069).

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  • Robust clustering in arbitrarily oriented subspaces

    Achtert, E., Böhm, C., David, J., Kröger, P. & Zimek, A., okt. 2008, Society for Industrial and Applied Mathematics - 8th SIAM International Conference on Data Mining 2008, Proceedings in Applied Mathematics 130. Apte, C., Park, H., Wang, K. & Zaki, M. J. (red.). Society for Industrial and Applied Mathematics, Bind 2. s. 763-774 (S I A M Proceedings in Applied Mathematics, Bind 130).

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  • Supervised ensembles of prediction methods for subcellular localization

    Aßfalg, J., Gong, J., Kriegel, H. P., Pryakhin, A., Wei, T. & Zimek, A., dec. 2008, Proceedings of 6th Asia-Pacific Bioinformatics Conference. s. 29-38 (Series on Advances in Bioinformatics and Computational Biology, Bind 6).

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  • 2007

    Detection and visualization of subspace cluster hierarchies

    Achtert, E., Böhm, C., Kriegel, H. P., Kröger, P., Müller-Gorman, I. & Zimek, A., dec. 2007, Advances in Databases: Concepts, Systems and Applications: 12th International Conference on Database Systems for Advanced Applications, DASFAA 2007, Proceedings. Kotagiri, R., Krishna, P. R., Mohania, M. & Nantajeewarawat, E. (red.). Springer, s. 152-163 (Lecture Notes in Computer Science, Bind 4443).

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  • On exploring complex relationships of correlation clusters

    Achtert, E., Böhm, C., Kriegel, H. P., Kröger, P. & Zimek, A., 23. jul. 2007, Proceedings of the 19th International Conference on Scientific and Statistical Database Management, SSDBM 2007. IEEE, 10 s.

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