Anomaly detection

Results: 503



#Item
21PO.374 Automatic Anomaly Detection in Offshore Wind SCADA Data Dipl.-Inf. Steffen Dienst / Dipl.-Ing. Jonas Beseler University of Leipzig / Global Tech I GmbH

PO.374 Automatic Anomaly Detection in Offshore Wind SCADA Data Dipl.-Inf. Steffen Dienst / Dipl.-Ing. Jonas Beseler University of Leipzig / Global Tech I GmbH

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Source URL: www.informatik.uni-leipzig.de

- Date: 2016-08-25 02:49:01
    22A Close Look on n-Grams in Intrusion Detection: Anomaly Detection vs. Classification Christian Wressnegger Guido Schwenk

    A Close Look on n-Grams in Intrusion Detection: Anomaly Detection vs. Classification Christian Wressnegger Guido Schwenk

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    Source URL: filepool.informatik.uni-goettingen.de

    - Date: 2015-05-08 05:06:14
      2339 GLAD: Group Anomaly Detection in Social Media Analysis ROSE YU, University of Southern California XINRAN HE, University of Southern California YAN LIU, University of Southern California

      39 GLAD: Group Anomaly Detection in Social Media Analysis ROSE YU, University of Southern California XINRAN HE, University of Southern California YAN LIU, University of Southern California

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      Source URL: roseyu.com

      - Date: 2016-12-14 16:38:01
        24FixMe: A Self-organizing Isolated Anomaly Detection Architecture for Large Scale Distributed Systems Emmanuelle Anceaume1 , Erwan Le Merrer2 , Romaric Ludinard3 , Bruno Sericola3 , and Gilles Straub2 1

        FixMe: A Self-organizing Isolated Anomaly Detection Architecture for Large Scale Distributed Systems Emmanuelle Anceaume1 , Erwan Le Merrer2 , Romaric Ludinard3 , Bruno Sericola3 , and Gilles Straub2 1

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        Source URL: people.rennes.inria.fr

        - Date: 2013-05-27 08:17:27
          25Sparse pairwise Markov model learning for anomaly detection in heterogeneous data Romain Laby, Alexandre Gramfort, Fran¸cois Roueff, Cyrille Enderli, Larroque Alain To cite this version:

          Sparse pairwise Markov model learning for anomaly detection in heterogeneous data Romain Laby, Alexandre Gramfort, Fran¸cois Roueff, Cyrille Enderli, Larroque Alain To cite this version:

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          Source URL: hal-institut-mines-telecom.archives-ouvertes.fr

          - Date: 2016-12-19 12:56:27
            26Proceedings 1st International Workshop on Advanced Analytics and Learning on Temporal Data AALTD 2015 Anomaly Detection in Temporal Graph Data: An Iterative Tensor Decomposition and Masking Approach

            Proceedings 1st International Workshop on Advanced Analytics and Learning on Temporal Data AALTD 2015 Anomaly Detection in Temporal Graph Data: An Iterative Tensor Decomposition and Masking Approach

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            Source URL: ceur-ws.org

            - Date: 2015-07-29 12:02:48
              27Web Graph Similarity for Anomaly Detection Panagiotis Papadimitriou1, Ali Dasdan2 and Hector Garcia-Molina1 1 Overview

              Web Graph Similarity for Anomaly Detection Panagiotis Papadimitriou1, Ali Dasdan2 and Hector Garcia-Molina1 1 Overview

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              Source URL: infolab.stanford.edu

              - Date: 2010-11-08 23:53:56
                28On-line Relevant Anomaly Detection in the Twitter Stream: An Efficient Bursty Keyword Detection Model Jheser Guzman Barbara Poblete

                On-line Relevant Anomaly Detection in the Twitter Stream: An Efficient Bursty Keyword Detection Model Jheser Guzman Barbara Poblete

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                Source URL: www.outlier-analytics.org

                - Date: 2013-07-04 03:56:15
                  29Yale University Department of Computer Science Learning-Based Anomaly Detection in BGP Updates Jian Zhang1 Computer Science Dept.

                  Yale University Department of Computer Science Learning-Based Anomaly Detection in BGP Updates Jian Zhang1 Computer Science Dept.

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                  Source URL: cs-www.cs.yale.edu

                  - Date: 2005-05-17 08:11:00
                    30Anomaly-Based Intrusion Detection and Prevention Systems for Mobile Devices: Design and Development

                    Anomaly-Based Intrusion Detection and Prevention Systems for Mobile Devices: Design and Development

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                    Source URL: www.icsd.aegean.gr

                    - Date: 2013-11-25 06:34:42