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Classification Techniques for XML Document Using Text Mining

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2006, 11(2), pp.15-24
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Cheonshik Kim 1 Hong you sik 2

1세종대학교
2상지대학교

Candidate

ABSTRACT

Millions of documents are already on the Internet, and new documents are being formed all the time. This poses a very important problem in the management and querying of documents to classify them on the Internet by the most suitable means. However, most users have been using the document classification method based on a keyword. This method does not classify documents efficiently, and there is a weakness in the category of document that includes meaning. Document classification by a person can be very correct sometimes and often times is required. Therefore, in this paper, We wish to classify documents by using a neural network algorithm and C4.5 algorithms. We used resume data forming by XML for a document classification experiment. The result showed excellent possibilities in the document category. Therefore, We expect an applicable solution for various document classification problems.

Citation status

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