An Online Outlier Detection Technique for Wireless Sensor Networks

Y. Zhang, Nirvana Meratnia, Paul J.M. Havinga

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    43 Citations (Scopus)
    47 Downloads (Pure)

    Abstract

    We propose an online and local outlier detection technique with low resource consumption based on an unsupervised centered quarter-sphere support vector machine for wireless sensor networks. Using synthetic data, we demonstrate that our technique achieves better mining performance in terms of parameter selection using difference kernel functions compared to an earlier o²ine outlier detection technique.
    Original languageUndefined
    Title of host publicationThird IEEE European Conference on Smart Sensing and Context, EuroSSC 2008
    Place of PublicationETH Zurich
    PublisherETH Zurich
    Pages25-26
    Number of pages2
    ISBN (Print)978-3-909386-76-5
    Publication statusPublished - 29 Oct 2008
    Event3rd European Conference on Smart Sensing and Context, EuroSSC 2008 - Zurich, Switzerland
    Duration: 29 Oct 200831 Oct 2008
    Conference number: 3

    Publication series

    Name
    PublisherETH Zurich
    Number08HT8968C

    Conference

    Conference3rd European Conference on Smart Sensing and Context, EuroSSC 2008
    Abbreviated titleEuroSSC
    Country/TerritorySwitzerland
    CityZurich
    Period29/10/0831/10/08

    Keywords

    • EWI-13592
    • IR-65032
    • METIS-252053

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