Research topics discovery from WWW by keywords association rules

David Ramamonjisoa, Einoshin Suzuki, Issam Hamid

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

抄録

In this paper, we present agents based tool to discover new research topics from the information available on the World Wide Web (WWW). Agents are using KAROKA (Keywords Association Rules Optimizer Knobots Advisers). KAROKA is a model of discovery in text database used in WWW. The WWW sources are converted to a highly structured collection of text. Then, KAROKA tries to extract association rules, regularities and useful information in the collection of text. KAROKA techniques are described such as information retrieval similarity metrics for text, generation and pruning of keywords combination, and summary proposal of discovered information.

本文言語英語
ホスト出版物のタイトルRough Sets and Current Trends in Computing - 2nd International Conference, RSCTC 2000, Revised Papers
編集者Wojciech Ziarko, Yiyu Yao
出版社Springer Verlag
ページ412-419
ページ数8
ISBN(印刷版)3540430741, 9783540430742
DOI
出版ステータス出版済み - 1 1 2001
外部発表はい
イベント2nd International Conference on Rough Sets and Current Trends in Computing, RSCTC 2000 - Banff, カナダ
継続期間: 10 16 200010 19 2000

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2005
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

その他

その他2nd International Conference on Rough Sets and Current Trends in Computing, RSCTC 2000
Countryカナダ
CityBanff
Period10/16/0010/19/00

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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