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KDD
2012
ACM
178views Data Mining» more  KDD 2012»
13 years 6 months ago
Mining emerging patterns by streaming feature selection
Building an accurate emerging pattern classifier with a highdimensional dataset is a challenging issue. The problem becomes even more difficult if the whole feature space is unava...
Kui Yu, Wei Ding 0003, Dan A. Simovici, Xindong Wu
SIGIR
2012
ACM
13 years 6 months ago
Predicting quality flaws in user-generated content: the case of wikipedia
The detection and improvement of low-quality information is a key concern in Web applications that are based on user-generated content; a popular example is the online encyclopedi...
Maik Anderka, Benno Stein, Nedim Lipka
CVPR
2009
IEEE
16 years 11 months ago
A Min-Max Framework of Cascaded Classifier with Multiple Instance Learning for Computer Aided Diagnosis
The computer aided diagnosis (CAD) problems of detecting potentially diseased structures from medical images are typically distinguished by the following challenging characterist...
Dijia Wu (Rensselaer Polytechnic Institute), Jinbo...
KDD
2009
ACM
190views Data Mining» more  KDD 2009»
16 years 4 months ago
Efficient influence maximization in social networks
Influence maximization is the problem of finding a small subset of nodes (seed nodes) in a social network that could maximize the spread of influence. In this paper, we study the ...
Wei Chen, Yajun Wang, Siyu Yang
STOC
2004
ACM
158views Algorithms» more  STOC 2004»
16 years 4 months ago
Collective asynchronous reading with polylogarithmic worst-case overhead
The Collect problem for an asynchronous shared-memory system has the objective for the processors to learn all values of a collection of shared registers, while minimizing the tot...
Bogdan S. Chlebus, Dariusz R. Kowalski, Alexander ...