DocumentCode :
2269414
Title :
Categorizing Web pages using modified ART
Author :
Vlajic, N. ; Card, H.C.
Author_Institution :
Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada
Volume :
1
fYear :
1998
fDate :
24-28 May 1998
Firstpage :
313
Abstract :
This paper describes a modified term-frequency/inverse document-frequency model together with a modified adaptive resonance theory algorithm, incorporated into an autonomous agent for rapid and accurate hypertext clustering. The agent has been implemented in Java, and tested on various Web data collections
Keywords :
Internet; adaptive resonance theory; classification; information retrieval; software agents; Java; Web data collections; autonomous agent; hypertext clustering; inverse document-frequency; modified adaptive resonance theory; term-frequency; Clustering algorithms; Frequency; Internet; Inverse problems; Java; Resonance; Subspace constraints; Technological innovation; Web pages; World Wide Web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering, 1998. IEEE Canadian Conference on
Conference_Location :
Waterloo, Ont.
ISSN :
0840-7789
Print_ISBN :
0-7803-4314-X
Type :
conf
DOI :
10.1109/CCECE.1998.682747
Filename :
682747
Link To Document :
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