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:

QT Tho   :  PA0218164B at ntu.edu.sg
SC Hui   :  asschui at ntu.edu.sg
A.  Fong :  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