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» SCAN: a structural clustering algorithm for networks
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WWW
2010
ACM
15 years 6 months ago
Sampling community structure
We propose a novel method, based on concepts from expander graphs, to sample communities in networks. We show that our sampling method, unlike previous techniques, produces subgra...
Arun S. Maiya, Tanya Y. Berger-Wolf
ICML
2009
IEEE
16 years 16 days ago
Learning Markov logic network structure via hypergraph lifting
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. Learning ML...
Stanley Kok, Pedro Domingos
ICDM
2008
IEEE
230views Data Mining» more  ICDM 2008»
15 years 6 months ago
Clustering Distributed Time Series in Sensor Networks
Event detection is a critical task in sensor networks, especially for environmental monitoring applications. Traditional solutions to event detection are based on analyzing one-sh...
Jie Yin, Mohamed Medhat Gaber
IAT
2007
IEEE
15 years 6 months ago
Tag Meaning Disambiguation through Analysis of Tripartite Structure of Folksonomies
Collaborative tagging systems are becoming very popular recently. Web users use freely-chosen tags to describe shared resources, resulting in a folksonomy. One problem of folksono...
Ching-man Au Yeung, Nicholas Gibbins, Nigel Shadbo...
JCB
2008
170views more  JCB 2008»
14 years 11 months ago
Efficiently Identifying Max-Gap Clusters in Pairwise Genome Comparison
The spatial clustering of genes across different genomes has been used to study important problems in comparative genomics, from identification of operons to detection of homologo...
Xu Ling, Xin He, Dong Xin, Jiawei Han