Evidence based similarity for document categorization

Rozlini Mohamed*, Junzo Watada

*この研究の対応する著者

    研究成果

    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.

    本文言語English
    ホスト出版物のタイトル2010 World Automation Congress, WAC 2010
    出版ステータス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
    CityKobe
    Period10/9/1910/9/23

    ASJC Scopus subject areas

    • 制御およびシステム工学

    フィンガープリント

    「Evidence based similarity for document categorization」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

    引用スタイル