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» Probabilistic models for discovering e-communities
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QEST
2009
IEEE
14 years 3 months ago
On the Impact of Modelling Choices for Distributed Information Spread
—We consider a distributed shuffling algorithm for sharing data in a distributed network. Nodes executing the algorithm periodically contact each other and exchange data. The be...
Rena Bakhshi, Ansgar Fehnker
KDD
2008
ACM
257views Data Mining» more  KDD 2008»
14 years 9 months ago
Knowledge discovery of semantic relationships between words using nonparametric bayesian graph model
We developed a model based on nonparametric Bayesian modeling for automatic discovery of semantic relationships between words taken from a corpus. It is aimed at discovering seman...
Issei Sato, Minoru Yoshida, Hiroshi Nakagawa
KDD
2006
ACM
175views Data Mining» more  KDD 2006»
14 years 9 months ago
A mixture model for contextual text mining
Contextual text mining is concerned with extracting topical themes from a text collection with context information (e.g., time and location) and comparing/analyzing the variations...
Qiaozhu Mei, ChengXiang Zhai
RECOMB
2004
Springer
14 years 9 months ago
A discriminative model for identifying spatial cis-regulatory modules
Transcriptional regulation is mediated by the coordinated binding of transcription factors to the upstream regions of genes. In higher eukaryotes, the binding sites of cooperating...
Eran Segal, Roded Sharan
CCS
2009
ACM
14 years 3 months ago
A probabilistic approach to hybrid role mining
Role mining algorithms address an important access control problem: configuring a role-based access control system. Given a direct assignment of users to permissions, role mining...
Mario Frank, Andreas P. Streich, David A. Basin, J...