Data Mining and Intelligent Multi Agent Technologies in Medical Informatics

Fariba Shadabi, Dharmendra Sharma

    Research output: A Conference proceeding or a Chapter in Book › Chapter

    Original languageEnglish
    Title of host publicationSuccess in Evolutionary Computation
    EditorsAng Yang, Yin Shan
    Place of PublicationHong Kong
    PublisherSpringer
    Pages73-95
    Number of pages23
    Edition92
    ISBN (Print)9783540762850
    Publication statusPublished - 2008

    Cite this

    Shadabi, F., & Sharma, D. (2008). Data Mining and Intelligent Multi Agent Technologies in Medical Informatics. In A. Yang, & Y. Shan (Eds.), Success in Evolutionary Computation (92 ed., pp. 73-95). Hong Kong: Springer.
    Shadabi, Fariba ; Sharma, Dharmendra. / Data Mining and Intelligent Multi Agent Technologies in Medical Informatics. Success in Evolutionary Computation. editor / Ang Yang ; Yin Shan. 92. ed. Hong Kong : Springer, 2008. pp. 73-95
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    language = "English",
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    pages = "73--95",
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    Shadabi, F & Sharma, D 2008, Data Mining and Intelligent Multi Agent Technologies in Medical Informatics. in A Yang & Y Shan (eds), Success in Evolutionary Computation. 92 edn, Springer, Hong Kong, pp. 73-95.

    Data Mining and Intelligent Multi Agent Technologies in Medical Informatics. / Shadabi, Fariba; Sharma, Dharmendra.

    Success in Evolutionary Computation. ed. / Ang Yang; Yin Shan. 92. ed. Hong Kong : Springer, 2008. p. 73-95.

    Research output: A Conference proceeding or a Chapter in Book › Chapter

    TY - CHAP

    T1 - Data Mining and Intelligent Multi Agent Technologies in Medical Informatics

    AU - Shadabi, Fariba

    AU - Sharma, Dharmendra

    PY - 2008

    Y1 - 2008

    M3 - Chapter

    SN - 9783540762850

    SP - 73

    EP - 95

    BT - Success in Evolutionary Computation

    A2 - Yang, Ang

    A2 - Shan, Yin

    PB - Springer

    CY - Hong Kong

    ER -

    Shadabi F, Sharma D. Data Mining and Intelligent Multi Agent Technologies in Medical Informatics. In Yang A, Shan Y, editors, Success in Evolutionary Computation. 92 ed. Hong Kong: Springer. 2008. p. 73-95