Data collection for evaluating automatic filtering of hazardous WWW information

Keiichiro Hoashi, Naomi Inoue, Kazuo Hashimoto

研究成果: Conference contribution

抄録

We describe our data collection constructed for the evaluation of automatic filtering of hazardous WWW information. Currently, there are three types of filtering systems: self rating, individual rating and automatic filtering. We propose an ideal system architecture for effective filtering based on the analysis of existing systems. For the development of our filtering system, we have collected a massive amount of hazardous WWW data. We presumed that WWW pages with few words are difficult to filter automatically, but analysis on our data collection has proved that effective automatic filtering can be achieved by applying the hierarchy of HTML data. We have also practically proved this hypothesis by evaluation experiments using an experimental automatic filtering algorithm.

本文言語English
ホスト出版物のタイトル1999 Internet Workshop, IWS 1999
出版社Institute of Electrical and Electronics Engineers Inc.
ページ157-164
ページ数8
ISBN(電子版)0780359259, 9780780359253
DOI
出版ステータスPublished - 1999 1 1
外部発表はい
イベント1999 Internet Workshop, IWS 1999 - Suita, Osaka, Japan
継続期間: 1999 2 181999 2 20

Other

Other1999 Internet Workshop, IWS 1999
国/地域Japan
CitySuita, Osaka
Period99/2/1899/2/20

ASJC Scopus subject areas

  • 情報システムおよび情報管理
  • ハードウェアとアーキテクチャ
  • コンピュータ ネットワークおよび通信

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