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Title: Creating a cluster in Amazon to implement the Bayes classification algorithm
Authors: Nancy Yaneth Gelvez G., Paula Andrea Barrgan G., Danilo Alfonso Lopez S.
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2017
Volume: 12
Issue: 1
Language: English
This article describes the process for the implementation of a classification algorithm, in this case, the Naive Bayes algorithm, on a cluster in the cloud, the latter of which is a service provided by AWS Amazon. The algorithm is based on the theory of conditional probability or Bayes Theory, making the classification and also the prediction of missing data possible. To accomplish the object described it is important to have knowledge about SSHo. At the end a comparison will show what execution from the cluster actually provides with respect to implementation on a local machine, in order to determine which infrastructure proposal is more efficient for large volumes of data.
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