Discovering relationships between topics of conferences by filtering, extracting and clustering

Tsunenori Mine, Shimiao Lu, Makoto Amamiya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper presents a text mining system that obtains the relationships between the topics of international conferences. The system at first gathers Web pages related to the query 'call for paper' with a search engine and filters out pages irrelevant to the query with SVMs. Next it extracts the topics of conferences and clusters them. Each cluster embodies the relationships between topics and between topics and conferences. The clustered topics are shown through an Explorer-like graphical user interface. The preliminary experimental results promise that the method works not only for obtaining the relationship between topics of conferences, but also for discovering the relationship between any information entities users are interested in.

Original languageEnglish
Title of host publicationProceedings - 13th International Workshop on Database and Expert Systems Applications, DEXA 2002
EditorsA Min Tjoa, Roland R. Wagner
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages205-209
Number of pages5
ISBN (Electronic)0769516688
DOIs
Publication statusPublished - 2002
Event13th International Workshop on Database and Expert Systems Applications, DEXA 2002 - Aix-en-Provence, France
Duration: Sep 2 2002Sep 6 2002

Publication series

NameProceedings - International Workshop on Database and Expert Systems Applications, DEXA
Volume2002-January
ISSN (Print)1529-4188

Other

Other13th International Workshop on Database and Expert Systems Applications, DEXA 2002
CountryFrance
CityAix-en-Provence
Period9/2/029/6/02

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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