Evidence based similarity for document categorization

Rozlini Mohamed, Junzo Watada

    研究成果: Conference contribution

    抄録

    The failure of effective information management over the web does not influence only on by the speed of information retrieval; but also influenced by individual and organizational activities. Thus, the search engine of information retrieval plays a pivotal role in retrieving results that are relevant to users' query. Categorization is an optimist alternative to improve the accuracy and speed of information retrieval. This paper proposes a method using evidential reasoning based on similarity for text categorization. Term and frequency of term has influenced the process of deciding the document category. In order to define a new category for new document, our proposed method has taking degree similarities into consideration.

    元の言語English
    ホスト出版物のタイトル2010 World Automation Congress, WAC 2010
    出版物ステータスPublished - 2010
    イベント2010 World Automation Congress, WAC 2010 - Kobe
    継続期間: 2010 9 192010 9 23

    Other

    Other2010 World Automation Congress, WAC 2010
    Kobe
    期間10/9/1910/9/23

    Fingerprint

    Information retrieval
    Search engines
    Information management

    ASJC Scopus subject areas

    • Control and Systems Engineering

    これを引用

    Mohamed, R., & Watada, J. (2010). Evidence based similarity for document categorization. : 2010 World Automation Congress, WAC 2010 [5665447]

    Evidence based similarity for document categorization. / Mohamed, Rozlini; Watada, Junzo.

    2010 World Automation Congress, WAC 2010. 2010. 5665447.

    研究成果: Conference contribution

    Mohamed, R & Watada, J 2010, Evidence based similarity for document categorization. : 2010 World Automation Congress, WAC 2010., 5665447, 2010 World Automation Congress, WAC 2010, Kobe, 10/9/19.
    Mohamed R, Watada J. Evidence based similarity for document categorization. : 2010 World Automation Congress, WAC 2010. 2010. 5665447
    Mohamed, Rozlini ; Watada, Junzo. / Evidence based similarity for document categorization. 2010 World Automation Congress, WAC 2010. 2010.
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