Web document classification using modified decision trees

Authors:
Wen-Chen Hu;Kai-Hsiung Chang;Gerhard X. Ritter
Affiliations:
Auburn University, Auburn, AL;Auburn University, Auburn, AL;University of Florida, Gainesville, FL
Venue:
ACM-SE 38 Proceedings of the 38th annual on Southeast regional conference
Year:
2000

Citing 2
Cited 0

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Abstract

Searching for Web pages is one of the most common tasks performed on the Web while Web page classification is the first step for Web search service construction. This paper proposes a method for classifying Web documents by using a height-three modified decision tree which splits the root, depth-one nodes, and depth-two nodes based on keywords, descriptions, and hyperlinks, respectively. A classification starts with a Web page at the root of the decision tree and traces paths downward to leaves, which give the categories of the page.