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Bayesian clustering for email campaign detection:

, In: Proceedings of the 26th Annual International Conference on Machine Learning,

Haider, Peter ; Scheffer, Tobias - p. 385-392 , 2009

Link: https://dl.acm.org/doi/10.1145/1553374.1553424

RT 
T1 <cTitle>Proceedings of the 26th Annual International Conference on Machine Learning</cTitle>: T1 <Title>Bayesian clustering for email campaign detection</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-1553424&Exemplar=1&LAN=DE
				
A1 Haider, Peter
A1 Scheffer, Tobias
PB ACM
YR 2009
K1 Computing methodologies
K1 Machine learning
K1 Learning paradigms
K1 Unsupervised learning
K1 Cluster analysis
K1 Modeling and simulation
K1 Model development and analysis
K1 Model verification and validation
K1 Mathematics of computing
K1 Probability and statistics
K1 Probabilistic reasoning algorithms
K1 Markov-chain Monte Carlo methods
K1 Information systems
K1 World Wide Web
K1 Web applications
K1 Internet communications tools
K1 Email
K1 Sequential Monte Carlo methods
K1 Probabilistic algorithms
K1 Modeling methodologies
K1 Machine learning algorithms
K1 Feature selection
SP 385
OP 392
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/1553374.1553424
DO https://dl.acm.org/doi/10.1145/1553374.1553424
SF ELIB - SuUB Bremen

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