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
Volume2002-January
ISBN (Electronic)0769516688
DOIs
Publication statusPublished - Jan 1 2002
Event13th International Workshop on Database and Expert Systems Applications, DEXA 2002 - Aix-en-Provence, France
Duration: Sep 2 2002Sep 6 2002

Other

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

Fingerprint

Search engines
Graphical user interfaces
Websites

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Mine, T., Lu, S., & Amamiya, M. (2002). Discovering relationships between topics of conferences by filtering, extracting and clustering. In A. M. Tjoa, & R. R. Wagner (Eds.), Proceedings - 13th International Workshop on Database and Expert Systems Applications, DEXA 2002 (Vol. 2002-January, pp. 205-209). [1045899] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DEXA.2002.1045899

Discovering relationships between topics of conferences by filtering, extracting and clustering. / Mine, Tsunenori; Lu, Shimiao; Amamiya, Makoto.

Proceedings - 13th International Workshop on Database and Expert Systems Applications, DEXA 2002. ed. / A Min Tjoa; Roland R. Wagner. Vol. 2002-January Institute of Electrical and Electronics Engineers Inc., 2002. p. 205-209 1045899.

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

Mine, T, Lu, S & Amamiya, M 2002, Discovering relationships between topics of conferences by filtering, extracting and clustering. in AM Tjoa & RR Wagner (eds), Proceedings - 13th International Workshop on Database and Expert Systems Applications, DEXA 2002. vol. 2002-January, 1045899, Institute of Electrical and Electronics Engineers Inc., pp. 205-209, 13th International Workshop on Database and Expert Systems Applications, DEXA 2002, Aix-en-Provence, France, 9/2/02. https://doi.org/10.1109/DEXA.2002.1045899
Mine T, Lu S, Amamiya M. Discovering relationships between topics of conferences by filtering, extracting and clustering. In Tjoa AM, Wagner RR, editors, Proceedings - 13th International Workshop on Database and Expert Systems Applications, DEXA 2002. Vol. 2002-January. Institute of Electrical and Electronics Engineers Inc. 2002. p. 205-209. 1045899 https://doi.org/10.1109/DEXA.2002.1045899
Mine, Tsunenori ; Lu, Shimiao ; Amamiya, Makoto. / Discovering relationships between topics of conferences by filtering, extracting and clustering. Proceedings - 13th International Workshop on Database and Expert Systems Applications, DEXA 2002. editor / A Min Tjoa ; Roland R. Wagner. Vol. 2002-January Institute of Electrical and Electronics Engineers Inc., 2002. pp. 205-209
@inproceedings{9c2424b786b343e09306eec64c2f4910,
title = "Discovering relationships between topics of conferences by filtering, extracting and clustering",
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.",
author = "Tsunenori Mine and Shimiao Lu and Makoto Amamiya",
year = "2002",
month = "1",
day = "1",
doi = "10.1109/DEXA.2002.1045899",
language = "English",
volume = "2002-January",
pages = "205--209",
editor = "Tjoa, {A Min} and Wagner, {Roland R.}",
booktitle = "Proceedings - 13th International Workshop on Database and Expert Systems Applications, DEXA 2002",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",

}

TY - GEN

T1 - Discovering relationships between topics of conferences by filtering, extracting and clustering

AU - Mine, Tsunenori

AU - Lu, Shimiao

AU - Amamiya, Makoto

PY - 2002/1/1

Y1 - 2002/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84948680686&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84948680686&partnerID=8YFLogxK

U2 - 10.1109/DEXA.2002.1045899

DO - 10.1109/DEXA.2002.1045899

M3 - Conference contribution

AN - SCOPUS:84948680686

VL - 2002-January

SP - 205

EP - 209

BT - Proceedings - 13th International Workshop on Database and Expert Systems Applications, DEXA 2002

A2 - Tjoa, A Min

A2 - Wagner, Roland R.

PB - Institute of Electrical and Electronics Engineers Inc.

ER -