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Creating a cluster in Amazon to implement the Bayes classification algorithm


Article Information

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

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2017

Volume: 12

Issue: 1

Language: English

Categories

Abstract

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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