Anomaly detection

Results: 503



#Item
31Big Graph Mining: Algorithms, Anomaly Detection, and Applications U Kang Leman Akoglu

Big Graph Mining: Algorithms, Anomaly Detection, and Applications U Kang Leman Akoglu

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Source URL: www3.cs.stonybrook.edu

- Date: 2013-06-08 15:50:22
    32Anomaly Detection: A Unique Anti-Fraud Approach GET CONNECTED TODAY BidSwitch™ is available for immediate access to any programmatic enabled demand or supply

    Anomaly Detection: A Unique Anti-Fraud Approach GET CONNECTED TODAY BidSwitch™ is available for immediate access to any programmatic enabled demand or supply

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    Source URL: www.bidswitch.com

    - Date: 2015-07-15 17:18:29
      33An Incremental Learner for Language-Based Anomaly Detection in XML Harald Lampesberger Department of Secure Information Systems University of Applied Sciences Upper Austria Email:

      An Incremental Learner for Language-Based Anomaly Detection in XML Harald Lampesberger Department of Secure Information Systems University of Applied Sciences Upper Austria Email:

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      Source URL: spw16.langsec.org

      - Date: 2016-06-05 23:38:40
        34Frequently Asked Questions Demystifying the Grok platform. This FAQ covers the Grok application and underlying anomaly detection technology. It includes links to other documents for detailed information.

        Frequently Asked Questions Demystifying the Grok platform. This FAQ covers the Grok application and underlying anomaly detection technology. It includes links to other documents for detailed information.

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        Source URL: grokstream.com

        - Date: 2016-07-15 04:30:09
          35Systematic Construction of Anomaly Detection Benchmarks from Real Data Andrew F. Emmott, Shubhomoy Das, Thomas Dietterich, Alan Fern, Weng-Keen Wong Oregon State University School of EECS Corvallis, Oregon, USA

          Systematic Construction of Anomaly Detection Benchmarks from Real Data Andrew F. Emmott, Shubhomoy Das, Thomas Dietterich, Alan Fern, Weng-Keen Wong Oregon State University School of EECS Corvallis, Oregon, USA

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          Source URL: www.outlier-analytics.org

          - Date: 2013-07-04 03:56:12
            36Enhancing One-class Support Vector Machines for Unsupervised Anomaly Detection Mennatallah Amer Markus Goldstein

            Enhancing One-class Support Vector Machines for Unsupervised Anomaly Detection Mennatallah Amer Markus Goldstein

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            Source URL: www.outlier-analytics.org

            - Date: 2013-07-04 03:56:10
              37DIAMoND: Distributed Intrusion/Anomaly Monitoring for Nonparametric Detection Maciej Korczy´nski∗ , Ali Hamieh∗ , Jun Ho Huh§ , Henrik Holm† , S. Raj Rajagopalan§ , and Nina H. Fefferman∗ ∗  †

              DIAMoND: Distributed Intrusion/Anomaly Monitoring for Nonparametric Detection Maciej Korczy´nski∗ , Ali Hamieh∗ , Jun Ho Huh§ , Henrik Holm† , S. Raj Rajagopalan§ , and Nina H. Fefferman∗ ∗ †

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              Source URL: mkorczynski.com

              - Date: 2015-05-07 17:16:56
                38Knowl Inf Syst DOIs10115REGULAR PAPER Density-preserving projections for large-scale local anomaly detection

                Knowl Inf Syst DOIs10115REGULAR PAPER Density-preserving projections for large-scale local anomaly detection

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                Source URL: pmg.it.usyd.edu.au

                Language: English - Date: 2011-10-04 00:04:53
                39018-20tvcg12-zhaoindd

                018-20tvcg12-zhaoindd

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                Source URL: vialab.science.uoit.ca

                Language: English - Date: 2015-09-22 16:31:59
                40Improving Oceanographic Anomaly Detection Using High Performance Computing Thomas Huang, Ed Armstrong, George Chang, Toshio Chin, Brian Wilson, Tong (Tony) Lee, Victor Zlotnicki. Jorge Vazquez and Michelle Gierach Jet Pr

                Improving Oceanographic Anomaly Detection Using High Performance Computing Thomas Huang, Ed Armstrong, George Chang, Toshio Chin, Brian Wilson, Tong (Tony) Lee, Victor Zlotnicki. Jorge Vazquez and Michelle Gierach Jet Pr

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                Source URL: sccoos.org

                Language: English - Date: 2015-05-13 15:32:26