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A new suffix tree similarity measure for document clustering
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Authors:
Hung Chim
City University of Hong Kong, Hong Kong
Xiaotie Deng
City University of Hong Kong, Hong Kong
Published in:
· Proceeding
WWW '07
Proceedings of the 16th international conference on World Wide Web
Pages 121-130
ACM
New York, NY
, USA
©2007
table of contents
ISBN: 978-1-59593-654-7
doi>
10.1145/1242572.1242590
2007 Article
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· Citation Count: 19
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Tags:
algorithms
clustering
document model
experimentation
linguistic processing
similarity measure
suffix tree
trees
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