DPITT: Multi-viewpoint visualization system for detecting peculiar WWW pages rapidly

Masayuki Hirose, Einoshin Suzuki

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

1 被引用数 (Scopus)

抄録

In this paper, we present a visualization method for detecting peculiar WWW pages given a set of keywords. Detection of peculiar WWW pages is expected to lead to making profits by various means including business and investment. We try to capture peculiarity of a WWW page from several viewpoints at summary levels by using GF (Google Frequency) method to detect rare words and the PLSI (Probabilistic Latent Semantic Indexing) method to find the major topic and the remaining topic. Experimental results show that our visualization method DPITT (Detecting Peculiar pages from Image, Topic and Term) outperforms Google in a problem setting which favors the latter considerably.

本文言語英語
ホスト出版物のタイトル2006 IEEE International Conference on Granular Computing
ページ538-541
ページ数4
出版ステータス出版済み - 2006
外部発表はい
イベント2006 IEEE International Conference on Granular Computing - Atlanta, GA, 米国
継続期間: 5 10 20065 12 2006

その他

その他2006 IEEE International Conference on Granular Computing
Country米国
CityAtlanta, GA
Period5/10/065/12/06

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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