Disclosed are a framework and method for selecting an anomaly detection method for each of a plurality of class of time series based on characteristics a time series example that represents an expected form of data. The method provides classification of a given time series into one of known classes based on expected properties of the time series, filtering the set of possible detection methods based on the time series class, evaluating the remaining detection methods on the given time series using the specific evaluation metric and selecting and returning a recommended anomaly detection method based on the specific evaluation metric.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    FRAMEWORK FOR THE AUTOMATED DETERMINATION OF CLASSES AND ANOMALY DETECTION METHODS FOR TIME SERIES


    Weitere Titelangaben:

    RAHMEN ZUR AUTOMATISIERTEN BESTIMMUNG VON KLASSEN UND ANOMALIEDETEKTIONSVERFAHREN FÜR ZEITREIHEN
    CADRE POUR LA DÉTERMINATION AUTOMATIQUE DE CLASSES ET PROCÉDÉS DE DÉTECTION D'ANOMALIE POUR SÉRIES TEMPORELLES


    Beteiligte:
    BEAVER IAN ROY (Autor:in) / FREEMAN CYNTHIA (Autor:in) / MERRIMAN JONATHAN (Autor:in)

    Erscheinungsdatum :

    18.03.2020


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung



    Telemanom: An Extensible Framework for Time-series Anomaly Detection

    Soderstrom, Tom / Mattmann, Chris / Colwell, Ian et al. | NTRS | 2019



    Anomaly Scoring for Prediction-Based Anomaly Detection in Time Series

    Li, Tianyu / Comer, Mary L. / Delp, Edward J. et al. | IEEE | 2020


    Automated anomaly detection processor

    Kraiman, James B. / Arouh, Scott L. / Webb, Michael L. | SPIE | 2002


    Time Series Anomaly Detection Based on GAN

    Sun, Yong / Yu, Wenbo / Chen, Yuting et al. | IEEE | 2019