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Finding short patterns to classify text documents

An, Jiyuan and Chen, Yi-Ping Phoebe 2006, Finding short patterns to classify text documents, in 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 main conference proceedings) : (WI '06) : proceedings : 18-22 December, 2006, Hong Kong, China, IEEE Xplore, Piscataway, N.J., pp. 293-296.

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Title Finding short patterns to classify text documents
Author(s) An, Jiyuan
Chen, Yi-Ping Phoebe
Conference name WI '06 (2006 : Hong Kong, China)
Conference location Hong Kong, China
Conference dates 18-22 December 2006
Title of proceedings 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 main conference proceedings) : (WI '06) : proceedings : 18-22 December, 2006, Hong Kong, China
Editor(s) Liu, Jiming
Wah, Benjamin W.
Publication date 2006
Conference series International Conference on Web Intelligence
Start page 293
End page 296
Publisher IEEE Xplore
Place of publication Piscataway, N.J.
Keyword(s) document categorization
breadth-first
depth-first
rule generation
Summary Many classification methods have been proposed to find patterns in text documents. However, according to Occam's razor principle, "the explanation of any phenomenon should make as few assumptions as possible", short patterns usually have more explainable and meaningful for classifying text documents. In this paper, we propose a depth-first pattern generation algorithm, which can find out short patterns from text document more effectively, comparing with breadth-first algorithm
Notes This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
ISBN 0769527477
9780769527475
Language eng
Field of Research 080610 Information Systems Organisation
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2006 IEEE.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30006067

Document type: Conference Paper
Collections: School of Engineering and Information Technology
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