• A data-oriented approach for outlier detection

    Author(s):
    Nripesh Trivedi (see profile)
    Date:
    2019
    Item Type:
    Article
    Permanent URL:
    http://dx.doi.org/10.17613/vtth-8d60
    Abstract:
    In this paper, characteristics of data obtained from the sensors (used in OpenSense project) are identified in order to build a data-oriented approach. This approach consists of application of Class Outliers: Distance Based (CODB) and Hoeffding tree algorithms. Subsequently, machine learning models were built to detect outliers in a sensor data stream. The approach presented in this paper may be used for developing methodologies for data-oriented outlier detection.
    Metadata:
    Published as:
    Journal article    
    Status:
    Published
    Last Updated:
    1 month ago
    License:
    All Rights Reserved
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