Tho QT, Hui SC, Fong A "Web mining for identifying research trends " DIGITAL LIBRARIES: TECHNOLOGY AND MANAGEMENT OF INDIGENOUS KNOWLEDGE FOR GLOBAL ACCESS LECTURE NOTES IN COMPUTER SCIENCE 2911: 290-301 2003

[Eugene Garfield]

E-mail Addresses:
Tho QT   :  PA0218164B at ntu.edu.sg
Hui SC   :  asschui at ntu.edu.sg
Fong A   :  acmfong at ntu.edu.sg

Title    :  Web mining for identifying research trends

Author(s): Tho QT, Hui SC, Fong A

Source   : DIGITAL LIBRARIES: TECHNOLOGY AND MANAGEMENT OF INDIGENOUS
KNOWLEDGE FOR GLOBAL ACCESS LECTURE NOTES IN COMPUTER SCIENCE 2911: 290-301 2003

Document Type: Article        Language: English
Cited References: 13          Times Cited: 0

Abstract:
This paper proposes a web mining approach for identifying research trends.
The proposed approach comprises a number of data mining techniques. To
perform web mining, the Indexing Agents search and download scientific
publications from web sites that typically include academic web pages, then
they extract citations and store them in a Web Citation Database. The
Temporal Document Clustering technique and Journal Co-Citation Clustering
technique are applied to the Web Citation Database to generate temporal
document clusters and journal clusters respectively. The Multi-Clustering
technique is then proposed to mine the document and journal clusters for
their interrelationships. Finally, the knowledge that is mined from the
inter-relationships is used for the detection Of trends and emergent trends
for a specified research area. In this paper, we will discuss the proposed
web mining approach, and the performance of the proposed approach.

Addresses: Tho QT (reprint author), Nanyang Technol Univ, Sch Comp Engn,
Singapore, 2263 Singapore Nanyang Technol Univ, Sch Comp Engn, Singapore,
2263 Singapore

Publisher: SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY

IDS Number: BY20Q
ISSN: 0302-9743

Cited Author Cited Work          Year Volume Page

BLANK GD P 6 ANN C INN TECHN 2001
BOLACKER K P 3 ACM C DIG LIB PI 1998   116
BOLEY D DATA MIN KNOWL DISC         1998 2 325
CIOS KJ DATA MINING METHODS         1998
EVERITT B CLUSTER ANAL         1993
HE Y APPL ARTIF INTELL         2002 16 283
HE YL INFORM PROCESS MANAG         2002 38 491
KONTOSTHATHIS A SURVEY EMERGING TREN 2003
POPESCUL A IEEE ADV DIGITAL LIB 2000   173
POTTENGER WM DETECTING EMERGING C 2001
ROY S P TEXTM 02 WORKSH 2         2002
SWAN R P 6 ACM SGKDD INT C         2003
VANRIJSBERGEN C INFORMATION RETRIEVA 1979