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ICDM
2010
IEEE
147views Data Mining» more  ICDM 2010»
15 years 4 months ago
Subgroup Discovery Meets Bayesian Networks -- An Exceptional Model Mining Approach
Whenever a dataset has multiple discrete target variables, we want our algorithms to consider not only the variables themselves, but also the interdependencies between them. We pro...
Wouter Duivesteijn, Arno J. Knobbe, Ad Feelders, M...
PERCOM
2007
ACM
16 years 6 months ago
Analytical modeling and mitigation techniques for the energy hole problem in sensor networks
In this paper we investigate the problem of uneven energy consumptions in a large class of many-to-one sensor networks. In a many-to-one sensor network, all sensor nodes generate ...
Jian Li, Prasant Mohapatra
PPAM
2005
Springer
16 years 10 days ago
Total Exchange Performance Modelling Under Network Contention
Abstract. One of the most important collective communication patterns for scientific applications is the many to many, also called complete exchange. Although efficient All-to-All...
Luiz Angelo Steffenel, Grégory Mounié...
DIS
2009
Springer
15 years 10 months ago
Discovering Influential Nodes for SIS Models in Social Networks
We address the problem of efficiently discovering the influential nodes in a social network under the susceptible/infected/susceptible (SIS) model, a diffusion model where nodes ar...
Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
AI
2005
Springer
15 years 6 months ago
Bayesian network modelling through qualitative patterns
In designing a Bayesian network for an actual problem, developers need to bridge the gap between ematical abstractions offered by the Bayesian-network formalism and the features o...
Peter J. F. Lucas