Evidence based similarity for document categorization

Rozlini Mohamed, Junzo Watada

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    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.

    Original languageEnglish
    Title of host publication2010 World Automation Congress, WAC 2010
    Publication statusPublished - 2010
    Event2010 World Automation Congress, WAC 2010 - Kobe
    Duration: 2010 Sep 192010 Sep 23

    Other

    Other2010 World Automation Congress, WAC 2010
    CityKobe
    Period10/9/1910/9/23

    Fingerprint

    Information retrieval
    Search engines
    Information management

    Keywords

    • Categorization
    • Evidential reasoning
    • Latent semantic analysis
    • Similarity

    ASJC Scopus subject areas

    • Control and Systems Engineering

    Cite this

    Mohamed, R., & Watada, J. (2010). Evidence based similarity for document categorization. In 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.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Mohamed, R & Watada, J 2010, Evidence based similarity for document categorization. in 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. In 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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