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ICML
2004
IEEE
14 years 9 months ago
Semi-supervised learning using randomized mincuts
In many application domains there is a large amount of unlabeled data but only a very limited amount of labeled training data. One general approach that has been explored for util...
Avrim Blum, John D. Lafferty, Mugizi Robert Rweban...
WSDM
2010
ACM
315views Data Mining» more  WSDM 2010»
14 years 6 months ago
SBotMiner: Large Scale Search Bot Detection
In this paper, we study search bot traffic from search engine query logs at a large scale. Although bots that generate search traffic aggressively can be easily detected, a large ...
Fang Yu, Yinglian Xie, Qifa Ke
HICSS
2002
IEEE
116views Biometrics» more  HICSS 2002»
14 years 1 months ago
E-commerce Security Issues
Without trust, most prudent business operators and clients may decide to forgo use of the Internet and revert back to traditional methods of doing business. To counter this trend,...
Randy C. Marchany, Joseph G. Tront
EMNLP
2010
13 years 7 months ago
Learning Recurrent Event Queries for Web Search
Recurrent event queries (REQ) constitute a special class of search queries occurring at regular, predictable time intervals. The freshness of documents ranked for such queries is ...
Ruiqiang Zhang, Yuki Konda, Anlei Dong, Pranam Kol...
CIKM
2008
Springer
13 years 11 months ago
Intra-document structural frequency features for semi-supervised domain adaptation
In this work we try to bridge the gap often encountered by researchers who find themselves with few or no labeled examples from their desired target domain, yet still have access ...
Andrew Arnold, William W. Cohen