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