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KDD
2010
ACM
188views Data Mining» more  KDD 2010»
13 years 6 months ago
Trust network inference for online rating data using generative models
In an online rating system, raters assign ratings to objects contributed by other users. In addition, raters can develop trust and distrust on object contributors depending on a f...
Freddy Chong Tat Chua, Ee-Peng Lim
ICDE
2010
IEEE
399views Database» more  ICDE 2010»
14 years 3 months ago
Discovery-driven graph summarization
Abstract— Large graph datasets are ubiquitous in many domains, including social networking and biology. Graph summarization techniques are crucial in such domains as they can ass...
Ning Zhang, Yuanyuan Tian, Jignesh M. Patel
CMOT
2004
83views more  CMOT 2004»
13 years 8 months ago
Networks, Fields and Organizations: Micro-Dynamics, Scale and Cohesive Embeddings
Social action is situated in fields that are simultaneously composed of interpersonal ties and relations among organizations, which are both usefully characterized as social netwo...
Douglas R. White, Jason Owen-Smith, James Moody, W...
KDD
2009
ACM
179views Data Mining» more  KDD 2009»
14 years 3 months ago
Identifying graphs from noisy and incomplete data
There is a growing wealth of data describing networks of various types, including social networks, physical networks such as transportation or communication networks, and biologic...
Galileo Mark S. Namata Jr., Lise Getoor
SDM
2010
SIAM
256views Data Mining» more  SDM 2010»
13 years 10 months ago
The Application of Statistical Relational Learning to a Database of Criminal and Terrorist Activity
We apply statistical relational learning to a database of criminal and terrorist activity to predict attributes and event outcomes. The database stems from a collection of news ar...
B. Delaney, Andrew S. Fast, W. M. Campbell, C. J. ...