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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  • 2024

    On the Design of Scalable Outlier Detection Methods Using Approximate Nearest Neighbor Graphs

    Okkels, C. B., Aumüller, M. & Zimek, A., 25. okt. 2024, Similarity Search and Applications. Chávez, E., Kimia, B., Lokoč, J., Patella, M. & Sedmidubsky, J. (red.). Springer Nature, s. 170-184 (Lecture Notes in Computer Science, Bind 15268).

    Publikation: Kapitel i bog/rapport/konference-proceeding › Kapitel i bog › Forskning › peer review

  • Robust Statistical Scaling of Outlier Scores: Improving the Quality of Outlier Probabilities for Outliers

    Röchner, P., Marques, H. O., Campello, R. J. G. B., Zimek, A. & Rothlauf, F., 25. okt. 2024, Similarity Search and Applications. Chávez, E., Kimia, B., Lokoč, J., Patella, M. & Sedmidubsky, J. (red.). Springer, s. 215-222 (Lecture Notes in Computer Science, Bind 15268).

    Publikation: Kapitel i bog/rapport/konference-proceeding › Kapitel i bog › Forskning › peer review

  • 2023

    Clustering High-Dimensional Data

    Houle, M. E., Kiermeier, M. & Zimek, A., 2023, Machine Learning for Data Science Handbook: Data Mining and Knowledge Discovery Handbook. Rokach, L., Maimon, O. & Shmueli, E. (red.). 3. udg. Springer, s. 219-237

    Publikation: Kapitel i bog/rapport/konference-proceeding › Kapitel i bog › Forskning › peer review

  • 2016

    On the Evaluation of Outlier Detection: Measures, Datasets, and an Empirical Study Continued

    Campos, G. O., Zimek, A., Sander, J., Campello, R. J. G. B., Micenková, B., Schubert, E., Assent, I. & Houle, M. E., 2016, Proceedings of the LWDA 2016 Workshops: KDML, FGWM, FGIR, and FGDB, Potsdam, Germany. s. 234 1 s.

    Publikation: Kapitel i bog/rapport/konference-proceeding › Kapitel i bog › Forskning › peer review

  • 2015

    Fast and Scalable Outlier Detection with Approximate Nearest Neighbor Ensembles

    Schubert, E., Zimek, A. & Kriegel, H.-P., 2015, Database Systems for Advanced Applications - 20th International Conference, DASFAA 2015, Hanoi, Vietnam, April 20-23, 2015, Proceedings, Part II. Renz, M., Shahabi, C., Zhou, X. & Cheema, M. A. (red.). Springer, Bind 9050. s. 19-36 18 s.

    Publikation: Kapitel i bog/rapport/konference-proceeding › Kapitel i bog › Forskning › peer review

  • On the internal evaluation of unsupervised outlier detection

    Marques, H. O., Campello, R. J. G. B., Zimek, A. & Sander, J., 2015, Proceedings of the 27th International Conference on Scientific and Statistical Database Management, SSDBM '15, La Jolla, CA, USA, June 29 - July 1, 2015. Gupta, A. & Rathbun, S. L. (red.). Association for Computing Machinery, s. 1-12 12 s. 7

    Publikation: Kapitel i bog/rapport/konference-proceeding › Kapitel i bog › Forskning › peer review

  • 2014

    Frequent pattern mining algorithms for data clustering

    Zimek, A., Assent, I. & Vreeken, J., jul. 2014, Frequent Pattern Mining. Aggarwal, C. & Han, J. (red.). Springer, s. 403-423

    Publikation: Kapitel i bog/rapport/konference-proceeding › Kapitel i bog › Forskning › peer review

  • 2013

    Clustering High-Dimensional Data

    Zimek, A., 21. aug. 2013, Data Clustering: Algorithms and Applications. Aggarwal, C. C. & Reddy, C. K. (red.). CRC Press, (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series).

    Publikation: Kapitel i bog/rapport/konference-proceeding › Kapitel i bog › Forskning › peer review

  • 2007

    Density-based data analysis and similarity search

    Brecheisen, S., Kriegel, H. P., Kröger, P., Pfeifle, M., Schubert, M. & Zimek, A., dec. 2007, Multimedia Data Mining and Knowledge Discovery. Petrushin, V. A. & Khan, L. (red.). Springer, s. 94-115

    Publikation: Kapitel i bog/rapport/konference-proceeding › Kapitel i bog › Forskning › peer review