2004 search results - page 211 / 401 » Sampling from large graphs |
127
Voted
WWW
2010
ACM
15 years 10 months ago
2010
ACM
In this paper, we propose a semi-supervised learning approach for classifying program (bot) generated web search traffic from that of genuine human users. The work is motivated by...
146
Voted
BMCBI
2010
15 years 3 months ago
2010
Background: The goal of class prediction studies is to develop rules to accurately predict the class membership of new samples. The rules are derived using the values of the varia...
168
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BICOB
2009
Springer
15 years 1 months ago
2009
Springer
We propose a two-step biclustering approach to mine co-regulation patterns of a given reference gene to discover other genes that function in a common biological process. Currently...
137
Voted
ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
Exemplar-based techniques, such as k-nearest neighbors (kNNs) and Sparse Representations (SRs), can be used to model a test sample from a few training points in a dictionary set. ...
122
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DATAMINE
2006
15 years 3 months ago
2006
Clustering methods for data-mining problems must be extremely scalable. In addition, several data mining applications demand that the clusters obtained be balanced, i.e., be of ap...