Jiang HF, Lou WW, Wang W "Three-tier clustering: An online citation clustering system" ADVANCES IN WEB-AGE INFORMATION MANAGEMENT, PROCEEDINGS LECTURE NOTES IN COMPUTER SCIENCE 2118: 237-248 2001
Eugene Garfield
garfield at CODEX.CIS.UPENN.EDU
Fri May 3 14:50:52 EDT 2002
Haifeng Jiang : {jianghf,wwlou,fervvac}@cs.ust.hk
Full Text Available At : http://www.cs.ust.hk/~fervvac/files/waim2001.pdf
TITLE Three-tier clustering: An online citation clustering system
AUTHOR Jiang HF, Lou WW, Wang W
JOURNAL ADVANCES IN WEB-AGE INFORMATION MANAGEMENT, PROCEEDINGS
LECTURE NOTES IN COMPUTER SCIENCE 2118: 237-248 2001
Document type: Article Language: English
Cited References: 19 Times Cited: 0
Abstract:
In this paper, we present a three tier clustering method where data objects
are described by a number of feature dimensions. Using the approach,
similarity along each feature dimension of objects are first computed. The
inter-objects similarity are then computed from inter-feature-dimension
similarity using a Bayesian multi-causal model. Objects are finally
clustered based on the computed similarity. An online citation entry
clustering system was built using the approach. It accepts user queries in
the form of name of authors. Such queries are sent to citation/bibliography
search engines. The returned entries are clustered based on feature
dimensions such as authors, title, place of publication, etc. After
clustering, entries from different authors with the similar name form
different clusters, that are presented to the user. Preliminary experiment
results indicated the effectiveness of the proposed clustering approach. The
architecture of three-tire clustering framework, feature representation of a
citation entry, a brief network model for inter-object similarity
computation, and a special cluster evaluation technique are discussed in
detail.
Addresses:
Jiang HF, Hong Kong Univ Sci & Technol, Dept Comp Sci, Hong Kong, Peoples R
China
Hong Kong Univ Sci & Technol, Dept Comp Sci, Hong Kong, Peoples R China
Publisher:
SPRINGER-VERLAG BERLIN, BERLIN
IDS Number:
BT99G
ISSN:
0302-9743
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