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Density-based spam detector
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Authors:
Kenichi YOSHIDA
University of Tsukuba, Tokyo, Japan
Fuminori ADACHI
Osaka University, Osaka, Japan
Takashi WASHIO
Osaka University, Osaka, Japan
Hiroshi MOTODA
Osaka University, Osaka, Japan
Teruaki HOMMA
KDDI Corporation, Tokyo, Japan
Akihiro NAKASHIMA
KDDI Corporation, Tokyo, Japan
Hiromitsu FUJIKAWA
KDDI R&D Laboratories Inc., Saitama, Japan
Katsuyuki YAMAZAKI
KDDI R&D Laboratories Inc., Saitama, Japan
2004 Article
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Published in:
· Proceeding
KDD '04
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Pages 486-493
ACM
New York, NY
, USA
©2004
table of contents
ISBN:1-58113-888-1
doi>
10.1145/1014052.1014107
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Tags:
content analysis and indexing
data mining
direct-mapped cache
document space density
experimentation
learning
performance
security
spam
unsupervised learning
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