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SIGMOD
2008
ACM
215views Database» more  SIGMOD 2008»
15 years 10 months ago
CSV: visualizing and mining cohesive subgraphs
Extracting dense sub-components from graphs efficiently is an important objective in a wide range of application domains ranging from social network analysis to biological network...
Nan Wang, Srinivasan Parthasarathy, Kian-Lee Tan, ...
87
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PODS
2006
ACM
156views Database» more  PODS 2006»
15 years 10 months ago
From statistical knowledge bases to degrees of belief: an overview
An intelligent agent will often be uncertain about various properties of its environment, and when acting in that environment it will frequently need to quantify its uncertainty. ...
Joseph Y. Halpern
EDBT
2008
ACM
166views Database» more  EDBT 2008»
15 years 10 months ago
Social ties and their relevance to churn in mobile telecom networks
Social Network Analysis has emerged as a key paradigm in modern sociology, technology, and information sciences. The paradigm stems from the view that the attributes of an individ...
Koustuv Dasgupta, Rahul Singh, Balaji Viswanathan,...
ICDE
2010
IEEE
399views Database» more  ICDE 2010»
15 years 4 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
SAC
2009
ACM
15 years 4 months ago
Applying latent dirichlet allocation to group discovery in large graphs
This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...
Keith Henderson, Tina Eliassi-Rad