Evidence based similarity for document categorization

Rozlini Mohamed, Junzo Watada

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


    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


    Other2010 World Automation Congress, WAC 2010



    • 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]