UNIVERSIDADE FEDERAL DO PARÁ INSTITUTO DE TECNOLOGIA PROGRAMA DE PÓS - GRADUAÇÃO EM ENGENHARIA ELÉTRICA
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Summary
A new approach to optimization of the Bayesian Network structure learning in the context of BigData, by using the MapReduce process, in order to improve the processing time and solve the scalability problem of the search frequency steps of K2 algorithm.
- Type
- article
- Published
- 2014-01-01
- Cited by
- 0
- References
- 93
- OpenAlex
- https://openalex.org/W308725087
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:117378978
Keywords
Political science
References
- Data-Mining and Uncertain Reasoning: An Integrated Approach
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- Linux Programming Unleashed
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- Optical Detection of Lightning from Space
- Electromagnetics and calculation of fields
- MapReduce for Bayesian Network Parameter Learning using the EM Algorithm
- Design and implementation of a data mining grid-aware architecture
- Parallel Exact Inference on Multicore Using MapReduce
- Finding interesting rules from large sets of discovered association rules
- Finite-difference time-domain (FD-TD) modeling of electromagnetic wave scattering and interaction problems
- Absorbing Boundary Conditions for the Finite-Difference Approximation of the Time-Domain Electromagnetic-Field Equations
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