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http://dx.doi.org/10.22937/IJCSNS.2021.21.3.36

A New Model to Enhance Efficiency in Distributed Data Mining Using Mobile Agent  

Bardab, Saeed Ngmaldin (Department of Computer Sciences, ALNeelain University)
Ahmed, Tarig Mohamed (Department of IT, King Abdul-Aziz University)
Publication Information
International Journal of Computer Science & Network Security / v.21, no.3, 2021 , pp. 275-286 More about this Journal
Abstract
As a result of the vast amount of data that is geographically found in different locations. Distributed data mining (DDM) has taken a center stage in data mining. The use of mobile agents to enhance efficiency in DDM has gained the attention of industries, commerce and academia because it offers serious suggestions on how to solve inherent problems associated with DDM. In this paper, a novel DDM model has been proposed by using a mobile agent to enhance efficiency. The main idea behind the model is to use the Naive Bayes algorithm to give the mobile agent the ability to learn, compare, get and store the results on it from each server which has different datasets and we found that the accuracy increased roughly by 0.9% which is our main target.
Keywords
Distributed data mining; Mobile Agent System;
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