An immune network approach for web document clustering

Hang, Xiaoshu and Dai, Honghua 2004, An immune network approach for web document clustering, in IEEE/WIC International Conference on Web Intelligence (WI 2004) : Beijing, China, September 20-24, 2004 : proceedings, IEEE Xplore, Piscataway, N.J., pp. 278-284.

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Title An immune network approach for web document clustering
Author(s) Hang, Xiaoshu
Dai, HonghuaORCID iD for Dai, Honghua
Conference name IEEE/WIC/ACM International Conference on Intelligent Agent Technology (2004 : Beijing, China)
Conference location Beijing, China
Conference dates 20-24 September 2004
Title of proceedings IEEE/WIC International Conference on Web Intelligence (WI 2004) : Beijing, China, September 20-24, 2004 : proceedings
Editor(s) Zhong, Ning
Tirri, Henry
Yao, Yiyu
Zhou, Lizhu
Liu, Jiming
Cercone, Nick
Publication date 2004
Start page 278
End page 284
Publisher IEEE Xplore
Place of publication Piscataway, N.J.
Summary The human immune system provides inspiration for solving a wide range of innovative problems. In this paper, we propse an immune network based approach for web document clustering. All the immune cells in the network competitively recognize the antigens (web documents) which are presented to the network one by one. The interaction between immune cells and an antigen leads to an augment of the network through the clonal selection and somatic mutation of the stimulated immune cells, while the interaction among immune cells results in a network compression. The structure of the immune network is well maintained by learning and self-regularity. We use a public web document data set to test the effectiveness of our method and compare it with other approaches. The experimental results demonstrate that the most striking advantage of immune-based data clustering is its adaptation in dynamic environment and the capability of finding new clusters automatically.
ISBN 0769521002
Language eng
Field of Research 080699 Information Systems not elsewhere classified
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2004 IEEE
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Document type: Conference Paper
Collection: School of Information Technology
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