Eingebettete Intelligenz

Seite 1 von 2.

1. Markus Goldstein

   Anomaly Detection in Large Datasets

   PhD-Thesis, Technische Universität Kaiserslautern, ISBN 978-3-8439-1572-4, Dr. Hut, München, 2/2014.

2. Markus Goldstein

   Anomaly Detection in Large Datasets

   PhD-Thesis, DFKI, 2014.

3. Markus Goldstein

   Anomaly Detection

   In: Markus Hofmann; Ralf Klinkenberg. RapidMiner: Data Mining Use Cases and Business Analytics Applications. Pages 367-394, Data Mining and Knowledge Discovery, ISBN 978-1-48-220549-7, Chapman and Hall/CRC, 10/2013.

4. Mennatallah Amer; Markus Goldstein; Slim Abdennadher

   Enhancing One-class Support Vector Machines for Unsupervised Anomaly Detection

   In: Proceedings of the ACM SIGKDD Workshop on Outlier Detection and Description (ODD). International Conference on Knowledge Discovery and Data Mining (KDD-2013), August 11-14, Chicago, IL, USA, Pages 8-15, ISBN 978-1-4503-2335-2, ACM, New York, NY, USA, 8/2013.

5. Johann Gebhardt; Markus Goldstein; Faisal Shafait; Andreas Dengel

   Document Authentication using Printing Technique Features and Unsupervised Anomaly Detection

   In: Proceedings of the 12th International Conference on Document Analysis and Recognition. International Conference on Document Analysis and Recognition (ICDAR-2013), 12th, August 25-28, Washington, DC, USA, Pages 479-483, ISBN 978-0-7695-4999-3, IEEE Computer Society, 8/2013.

6. Markus Goldstein; Stefan Asanger; Matthias Reif; Andrew Hutchinson

   Enhancing Security Event Management Systems with Unsupervised Anomaly Detection

   In: Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods. International Conference on Pattern Recognition Applications and Methods (ICPRAM-2013), February 15-18, Barcelona, Spain, Pages 530-538, ISBN 978-989-8565-41-9, SciTePress, 2/2013.

7. Markus Goldstein

   FastLOF: An Expectation-Maximization based Local Outlier Detection Algorithm

   In: Proceedings of the 21st International Conference on Pattern Recognition. International Conference on Pattern Recognition (ICPR-2012), 21st, November 11-15, Tsukuba, Japan, Pages 2282-2285, ISBN 978-4-9906441-1-6, IEEE, 11/2012.

8. Markus Goldstein; Andreas Dengel

   Histogram-based Outlier Score (HBOS): A fast Unsupervised Anomaly Detection Algorithm

   In: Stefan Wölfl (Hrsg.). KI-2012: Poster and Demo Track. German Conference on Artificial Intelligence (KI-2012), 35th, September 24-27, Saarbrücken, Germany, Pages 59-63, Online, 9/2012.

9. Mennatallah Amer; Markus Goldstein

   Nearest-Neighbor and Clustering based Anomaly Detection Algorithms for RapidMiner

   In: Simon Fischer; Ingo Mierswa (Hrsg.). Proceedings of the 3rd RapidMiner Community Meeting and Conferernce (RCOMM 2012). RapidMiner Community Meeting and Conference (RCOMM-2012), August 28-31, Budapest, Hungary, Pages 1-12, ISBN 978-3-8440-0995-8, Shaker Verlag GmbH, Aachen, 8/2012.

10. Matthias Reif; Faisal Shafait; Markus Goldstein; Thomas Breuel; Andreas Dengel

    Automatic classifier selection for non-experts

    In: Pattern Analysis and Applications (PAA), Vol. July 2012, Pages 1-14, Springer-Verlag, 7/2012.

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