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Distributed Processing System, 2022, 3(4); doi: 10.38007/DPS.2022.030409.

Three-layer Distributed System Based on Bayesian Classifier


Ahthasha Khaneni

Corresponding Author:
Ahthasha Khaneni

Commune d’Akanda, Gabon


Due to the rapid development of Internet technology and the rapid growth of the number of users, various data and information show an explosive growth trend. The analysis and processing of massive data is more and more important for the development of enterprises. To solve the problems of growing set and increasing system pressure, this paper proposes a distributed system with a three-tier architecture based on Bayesian classifier(BC). This paper first describes the module functions and system interface requirements of the three-layer distributed system(TLDS), followed by the design of the TLDS, and finally the system implementation. And the training time is analyzed, and it is found that the SNB algorithm improves the accuracy and shortens the training time.


Bayesian Classifier, Distributed System, Semi-supervised Naive Bayesian Algorithm, System Research

Cite This Paper

Ahthasha Khaneni. Three-layer Distributed System Based on Bayesian Classifier. Distributed Processing System (2022), Vol. 3, Issue 4: 70-77. https://doi.org/10.38007/DPS.2022.030409.


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