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» Mining for the most certain predictions from dyadic data
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WSDM
2010
ACM
214views Data Mining» more  WSDM 2010»
14 years 4 months ago
You are who you know: Inferring user profiles in Online Social Networks
Online social networks are now a popular way for users to connect, express themselves, and share content. Users in today's online social networks often post a profile, consis...
Alan Mislove, Bimal Viswanath, P. Krishna Gummadi,...
KDD
2010
ACM
265views Data Mining» more  KDD 2010»
13 years 8 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
CIDM
2009
IEEE
14 years 1 months ago
Evolving decision trees using oracle guides
—Some data mining problems require predictive models to be not only accurate but also comprehensible. Comprehensibility enables human inspection and understanding of the model, m...
Ulf Johansson, Lars Niklasson
JPDC
2007
184views more  JPDC 2007»
13 years 6 months ago
Modeling of concurrent web sessions with bounded inconsistency in shared data
Client interactions with modern web-accessible network services are typically organized into sessions involving multiple requests that read and write shared application data. Ther...
Alexander Totok, Vijay Karamcheti
ICDM
2006
IEEE
214views Data Mining» more  ICDM 2006»
14 years 24 days ago
Forecasting Skewed Biased Stochastic Ozone Days: Analyses and Solutions
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently however, we have been approached by Texas Commiss...
Kun Zhang, Wei Fan, Xiaojing Yuan, Ian Davidson, X...