Analysis of Bayesian optimization algorithms for big data classification based on Map Reduce framework
Abstract The process of big data handling refers to the efficient management of storage and processing of a very large volume of data. The data in a structured and unstructured format require a specific approach for overall handling. The classifiers analyzed in this paper are correlative naïve Bayes...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2021-06-01
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Series: | Journal of Big Data |
Subjects: | |
Online Access: | https://doi.org/10.1186/s40537-021-00464-4 |