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BMCBI
2010
176views more  BMCBI 2010»
13 years 7 months ago
Bayesian statistical modelling of human protein interaction network incorporating protein disorder information
Background: We present a statistical method of analysis of biological networks based on the exponential random graph model, namely p2-model, as opposed to previous descriptive app...
Svetlana Bulashevska, Alla Bulashevska, Roland Eil...
CEAS
2004
Springer
14 years 1 months ago
Extracting social networks and contact information from email and the Web
We present an end-to-end system that extracts a user’s social network and its members’ contact information given the user’s email inbox. The system identifies unique people...
Aron Culotta, Ron Bekkerman, Andrew McCallum
ICDM
2010
IEEE
186views Data Mining» more  ICDM 2010»
13 years 5 months ago
MoodCast: Emotion Prediction via Dynamic Continuous Factor Graph Model
Human emotion is one important underlying force affecting and affected by the dynamics of social networks. An interesting question is "can we predict a person's mood base...
Yuan Zhang, Jie Tang, Jimeng Sun, Yiran Chen, Jing...
WISE
2005
Springer
14 years 1 months ago
Peer-Sensitive ObjectRank - Valuing Contextual Information in Social Networks
Building on previous work on how to model contextual information for desktop search and how to implement semantically rich information exchange in social networks, we define a new...
Andrei Damian, Wolfgang Nejdl, Raluca Paiu
AIL
2010
60views more  AIL 2010»
13 years 5 months ago
Network-based filtering for large email collections in E-Discovery
The information overload in E-Discovery proceedings makes reviewing expensive and it increases the risk of failure to produce results on time and consistently. New interactive tec...
Hans Henseler