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» Scalable Discovery of Best Clusters on Large Graphs
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PAKDD
2010
ACM
117views Data Mining» more  PAKDD 2010»
14 years 7 days ago
BASSET: Scalable Gateway Finder in Large Graphs
Given a social network, who is the best person to introduce you to, say, Chris Ferguson, the poker champion? Or, given a network of people and skills, who is the best person to he...
Hanghang Tong, Spiros Papadimitriou, Christos Falo...
SAC
2009
ACM
14 years 2 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
KDD
2004
ACM
148views Data Mining» more  KDD 2004»
14 years 7 months ago
Fast discovery of connection subgraphs
We define a connection subgraph as a small subgraph of a large graph that best captures the relationship between two nodes. The primary motivation for this work is to provide a pa...
Christos Faloutsos, Kevin S. McCurley, Andrew Tomk...
SIGIR
2010
ACM
13 years 7 months ago
Scalability of findability: effective and efficient IR operations in large information networks
It is crucial to study basic principles that support adaptive and scalable retrieval functions in large networked environments such as the Web, where information is distributed am...
Weimao Ke, Javed Mostafa
KDD
2012
ACM
271views Data Mining» more  KDD 2012»
11 years 10 months ago
GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries
Many data are modeled as tensors, or multi dimensional arrays. Examples include the predicates (subject, verb, object) in knowledge bases, hyperlinks and anchor texts in the Web g...
U. Kang, Evangelos E. Papalexakis, Abhay Harpale, ...