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KDD
2009
ACM
217views Data Mining» more  KDD 2009»
16 years 7 months ago
Efficient anomaly monitoring over moving object trajectory streams
Lately there exist increasing demands for online abnormality monitoring over trajectory streams, which are obtained from moving object tracking devices. This problem is challengin...
Yingyi Bu, Lei Chen 0002, Ada Wai-Chee Fu, Dawei L...
KDD
2007
ACM
376views Data Mining» more  KDD 2007»
16 years 7 months ago
Truth discovery with multiple conflicting information providers on the web
The world-wide web has become the most important information source for most of us. Unfortunately, there is no guarantee for the correctness of information on the web. Moreover, d...
Xiaoxin Yin, Jiawei Han, Philip S. Yu
KDD
2007
ACM
168views Data Mining» more  KDD 2007»
16 years 7 months ago
Finding tribes: identifying close-knit individuals from employment patterns
We present a family of algorithms to uncover tribes--groups of individuals who share unusual sequences of affiliations. While much work inferring community structure describes lar...
Lisa Friedland, David Jensen
KDD
2006
ACM
170views Data Mining» more  KDD 2006»
16 years 7 months ago
Classification features for attack detection in collaborative recommender systems
Collaborative recommender systems are highly vulnerable to attack. Attackers can use automated means to inject a large number of biased profiles into such a system, resulting in r...
Robin D. Burke, Bamshad Mobasher, Chad Williams, R...
CHI
2006
ACM
16 years 7 months ago
The effect of speech recognition accuracy rates on the usefulness and usability of webcast archives
The widespread availability of broadband connections has led to an increase in the use of Internet broadcasting (webcasting). Most webcasts are archived and accessed numerous time...
Cosmin Munteanu, Ronald Baecker, Gerald Penn, Elai...
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