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  1. 1
    Applied cloud deep semantic recognition : advanced anomaly detection /

    Applied cloud deep semantic recognition : advanced anomaly detection /

    Published 2017
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  2. 2
    Finding ghosts in your data : anomaly detection techniques with examples in Python /

    Finding ghosts in your data : anomaly detection techniques with examples in Python / by Feasel, Kevin

    Published 2022
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  3. 3
    Beginning anomaly detection using Python-based deep learning : with Keras and PyTorch /

    Beginning anomaly detection using Python-based deep learning : with Keras and PyTorch / by Alla, Sridhar, Adari, Suman Kalyan

    Published 2019
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  4. 4
    Anomaly detection as a service : challenges, advances, and opportunities /

    Anomaly detection as a service : challenges, advances, and opportunities / by Yao, Danfeng (Computer scientist), Shu, Xiaokui, Cheng, Long (Computer scientist), Stolfo, Salvatore J. (Salvatore Joseph)

    Published 2018
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  5. 5
    Machine learning methods for behaviour analysis and anomaly detection in video /

    Machine learning methods for behaviour analysis and anomaly detection in video / by Isupova, Olga

    Published 2018
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  6. 6
    Data protection from insider threats

    Data protection from insider threats by Bertino, Elisa

    Published 2012
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  7. 7
    Anomaly detection principles and algorithms /

    Anomaly detection principles and algorithms / by Mehrotra, Kishan G.

    Published 2017
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  8. 8
    Anomaly detection and complex event processing over IoT data streams with application to eHealth and patient data monitoring /

    Anomaly detection and complex event processing over IoT data streams with application to eHealth and patient data monitoring / by Schneider, Patrick

    Published 2022
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  9. 9
    Open source software tools for anomaly detection analysis /

    Open source software tools for anomaly detection analysis / by Erbacher, Robert F., Pino, Robinson E.

    Published 2014
    Online Access
    Government Document eBook
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  10. 10
    Beginning anomaly detection using Python-based deep learning : with Keras and PyTorch /

    Beginning anomaly detection using Python-based deep learning : with Keras and PyTorch / by Alla, Sridhar, Adari, Suman Kalyan

    Published 2019
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  11. 11
    Finding ghosts in your data : anomaly detection techniques with examples in Python /

    Finding ghosts in your data : anomaly detection techniques with examples in Python / by Feasel, Kevin

    Published 2022
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  12. 12
    The state of the art in intrusion prevention and detection

    The state of the art in intrusion prevention and detection

    Published 2014
    Online Access (A-Z Journals and Newspapers)
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  13. 13
    Using computational intelligence for the dark web and illicit behavior detection /

    Using computational intelligence for the dark web and illicit behavior detection /

    Published 2022
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  14. 14
    Beginning anomaly detection using Python-based deep learning : implement anomaly detection applications with Keras and PyTorch /

    Beginning anomaly detection using Python-based deep learning : implement anomaly detection applications with Keras and PyTorch / by Adari, Suman Kalyan, Alla, Sridhar

    Published 2024
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  15. 15
    Finding ghosts in your data : anomaly detection techniques with examples in Python /

    Finding ghosts in your data : anomaly detection techniques with examples in Python / by Feasel, Kevin

    Published 2022
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  16. 16
    Deep learning and XAI techniques for anomaly detection : integrating the theory and practice of deep anomaly explainability /

    Deep learning and XAI techniques for anomaly detection : integrating the theory and practice of deep anomaly explainability / by Simon, Cher

    Published 2023
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  17. 17
    Anomaly detection for monitoring : a statistical approach to time series anomaly detection /

    Anomaly detection for monitoring : a statistical approach to time series anomaly detection / by Jinka, Preetam, Schwartz, Baron

    Published 2015
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  18. 18
    Practical machine learning : a new look at anomaly detection /

    Practical machine learning : a new look at anomaly detection / by Dunning, Ted, 1956-

    Published 2014
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  19. 19
    How to build an anomaly detection engine with Spark, Akka and Cassandra /

    How to build an anomaly detection engine with Spark, Akka and Cassandra /

    Published 2015
    Streaming Video (via O'Reilly/Safari)
    Electronic Video
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  20. 20
    Beginning anomaly detection using Python-based deep learning : with Keras and PyTorch /

    Beginning anomaly detection using Python-based deep learning : with Keras and PyTorch / by Alla, Sridhar, Adari, Suman Kalyan

    Published 2019
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