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KDD
2010
ACM
265views Data Mining» more  KDD 2010»
13 years 9 months ago
Scalable influence maximization for prevalent viral marketing in large-scale social networks
Influence maximization, defined by Kempe, Kleinberg, and Tardos (2003), is the problem of finding a small set of seed nodes in a social network that maximizes the spread of influe...
Wei Chen, Chi Wang, Yajun Wang
SIGIR
2008
ACM
13 years 7 months ago
Optical character recognition errors and their effects on natural language processing
Errors are unavoidable in advanced computer vision applications such as optical character recognition, and the noise induced by these errors presents a serious challenge to downstr...
Daniel P. Lopresti
TNN
2008
152views more  TNN 2008»
13 years 7 months ago
Distributed Parallel Support Vector Machines in Strongly Connected Networks
We propose a distributed parallel support vector machine (DPSVM) training mechanism in a configurable network environment for distributed data mining. The basic idea is to exchange...
Yumao Lu, Vwani P. Roychowdhury, L. Vandenberghe
WWW
2009
ACM
14 years 8 months ago
A measurement-driven analysis of information propagation in the flickr social network
Online social networking sites like MySpace, Facebook, and Flickr have become a popular way to share and disseminate content. Their massive popularity has led to viral marketing t...
Meeyoung Cha, Alan Mislove, P. Krishna Gummadi
CHI
2001
ACM
14 years 7 months ago
What makes Web sites credible?: a report on a large quantitative study
The credibility of web sites is becoming an increasingly important area to understand. To expand knowledge in this domain, we conducted an online study that investigated how diffe...
B. J. Fogg, Jonathan Marshall, Othman Laraki, Alex...