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110
Voted
KDD
2009
ACM
190views Data Mining» more  KDD 2009»
16 years 1 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
113
Voted
SDM
2009
SIAM
129views Data Mining» more  SDM 2009»
15 years 9 months ago
Multi-topic Based Query-Oriented Summarization.
Query-oriented summarization aims at extracting an informative summary from a document collection for a given query. It is very useful to help users grasp the main information rel...
Dewei Chen, Jie Tang, Limin Yao
KDD
2010
ACM
272views Data Mining» more  KDD 2010»
15 years 4 months ago
Beyond heuristics: learning to classify vulnerabilities and predict exploits
The security demands on modern system administration are enormous and getting worse. Chief among these demands, administrators must monitor the continual ongoing disclosure of sof...
Mehran Bozorgi, Lawrence K. Saul, Stefan Savage, G...
CIKM
2008
Springer
15 years 2 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan
116
Voted
SISAP
2010
IEEE
135views Data Mining» more  SISAP 2010»
14 years 11 months ago
Improving the similarity search of tandem mass spectra using metric access methods
In biological applications, the tandem mass spectrometry is a widely used method for determining protein and peptide sequences from an ”in vitro” sample. The sequences are not...
Jiri Novák, Tomás Skopal, David Hoks...