Fuzzy Multi-Sphere Support Vector Data Description

International Conference on Fuzzy Systems (FUZZ-IEEE)

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    4 Citations (Scopus)
    1 Downloads (Pure)

    Abstract

    Multi-sphere Support Vector Data Description (MS-SVDD) has been proposed in our previous work. MS-SVDD aims to build a set of spherically shaped boundaries that provide a better data description to the normal dataset and an iterative learning algorithm that determines the set of spherically shaped boundaries. MS-SVDD could improve classification rate for one-class classification problems comparing with SVDD. However MS-SVDD requires a small abnormal data set to build the spherically shaped boundaries for the normal data set. In this paper, we propose a new fuzzy MS-SVDD that can be used when only the normal data set is available. Experimental results on 14 well-known datasets and a comparison between fuzzy MS-SVDD and SVDD are also presented
    Original languageEnglish
    Title of host publication2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
    EditorsHussein Abbass
    Place of PublicationNew York
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages1956-1960
    Number of pages5
    ISBN (Print)9781467315050
    DOIs
    Publication statusPublished - 2012
    EventWCCI 2012 IEEE World Congress on Computational Intelligence - Brisbane, Brisbane, Australia
    Duration: 10 Jun 201215 Jun 2012

    Conference

    ConferenceWCCI 2012 IEEE World Congress on Computational Intelligence
    CountryAustralia
    CityBrisbane
    Period10/06/1215/06/12

    Fingerprint

    Data description
    Fuzzy systems
    Learning algorithms

    Cite this

    Le, T., Tran, D., Ma, W., & Sharma, D. (2012). Fuzzy Multi-Sphere Support Vector Data Description: International Conference on Fuzzy Systems (FUZZ-IEEE). In H. Abbass (Ed.), 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (pp. 1956-1960). New York: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/FUZZ-IEEE.2012.6251336
    Le, Trung ; Tran, Dat ; Ma, Wanli ; Sharma, Dharmendra. / Fuzzy Multi-Sphere Support Vector Data Description : International Conference on Fuzzy Systems (FUZZ-IEEE). 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). editor / Hussein Abbass. New York : IEEE, Institute of Electrical and Electronics Engineers, 2012. pp. 1956-1960
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    abstract = "Multi-sphere Support Vector Data Description (MS-SVDD) has been proposed in our previous work. MS-SVDD aims to build a set of spherically shaped boundaries that provide a better data description to the normal dataset and an iterative learning algorithm that determines the set of spherically shaped boundaries. MS-SVDD could improve classification rate for one-class classification problems comparing with SVDD. However MS-SVDD requires a small abnormal data set to build the spherically shaped boundaries for the normal data set. In this paper, we propose a new fuzzy MS-SVDD that can be used when only the normal data set is available. Experimental results on 14 well-known datasets and a comparison between fuzzy MS-SVDD and SVDD are also presented",
    keywords = "Support Vector Data Description",
    author = "Trung Le and Dat Tran and Wanli Ma and Dharmendra Sharma",
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    Le, T, Tran, D, Ma, W & Sharma, D 2012, Fuzzy Multi-Sphere Support Vector Data Description: International Conference on Fuzzy Systems (FUZZ-IEEE). in H Abbass (ed.), 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, Institute of Electrical and Electronics Engineers, New York, pp. 1956-1960, WCCI 2012 IEEE World Congress on Computational Intelligence, Brisbane, Australia, 10/06/12. https://doi.org/10.1109/FUZZ-IEEE.2012.6251336

    Fuzzy Multi-Sphere Support Vector Data Description : International Conference on Fuzzy Systems (FUZZ-IEEE). / Le, Trung; Tran, Dat; Ma, Wanli; Sharma, Dharmendra.

    2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). ed. / Hussein Abbass. New York : IEEE, Institute of Electrical and Electronics Engineers, 2012. p. 1956-1960.

    Research output: A Conference proceeding or a Chapter in BookConference contribution

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    Le T, Tran D, Ma W, Sharma D. Fuzzy Multi-Sphere Support Vector Data Description: International Conference on Fuzzy Systems (FUZZ-IEEE). In Abbass H, editor, 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). New York: IEEE, Institute of Electrical and Electronics Engineers. 2012. p. 1956-1960 https://doi.org/10.1109/FUZZ-IEEE.2012.6251336