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RSFDGRC
2005
Springer
134views Data Mining» more  RSFDGRC 2005»
14 years 2 months ago
The Computational Complexity of Inference Using Rough Set Flow Graphs
Pawlak recently introduced rough set flow graphs (RSFGs) as a graphical framework for reasoning from data. Each rule is associated with three coefficients, which have been shown t...
Cory J. Butz, Wen Yan, Boting Yang
WWW
2010
ACM
14 years 3 months ago
Predicting positive and negative links in online social networks
We study online social networks in which relationships can be either positive (indicating relations such as friendship) or negative (indicating relations such as opposition or ant...
Jure Leskovec, Daniel P. Huttenlocher, Jon M. Klei...
ANOR
2005
102views more  ANOR 2005»
13 years 8 months ago
Locating Active Sensors on Traffic Networks
Sensors are used to monitor traffic in networks. For example, in transportation networks, they may be used to measure traffic volumes on given arcs and paths of the network. This p...
Monica Gentili, Pitu B. Mirchandani
KDD
2009
ACM
229views Data Mining» more  KDD 2009»
14 years 9 months ago
Relational learning via latent social dimensions
Social media such as blogs, Facebook, Flickr, etc., presents data in a network format rather than classical IID distribution. To address the interdependency among data instances, ...
Lei Tang, Huan Liu
WWW
2008
ACM
14 years 9 months ago
Yes, there is a correlation: - from social networks to personal behavior on the web
Characterizing the relationship that exists between a person's social group and his/her personal behavior has been a long standing goal of social network analysts. In this pa...
Parag Singla, Matthew Richardson