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Journal of Applied Mathematics and Computation

Performance analysis of classification Algorithms: A case study of Naïve Bayes and J48 in Big Data

Author:Festim Halili1, Festim Kamberi2 Date:February 08,2018 Hits:

Abstract

In the world of technology the term Big Data has emerged with new opportunities and challenges to deal with the massive amount of data. Big Data is a collection of massive and complex data sets and data volume that include the huge quantities of data, data management capabilities, social media analytics and real-time data. To find the useful information from massive amount of data to organizations, businesses, companies, vendors, we need to analyze and classify the data. Initially, in this paper we have provided an in-depth analysis of 5Vs characteristics of Big Data. In addition, we have used a comparison methodology for the two well-known classifications Naïve Bayes and J48 decision tree algorithms by using QoS parameters: accuracy, sensitivity and specificity. These results will help us deriving the conclusion for which of two algorithms are the best.

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Performance analysis of classification Algorithms: A case study of Naïve Bayes and J48 in Big Data 
Festim Halili1, Festim Kamberi2
1Department of Informatics State University of Tetovo, SUT Tetovo, Macedonia, Email: festim.halili@unite.edu.mk
2Department of Computer Engineering International Balkan University, IBU Skopje, Macedonia, Email: kamberifestim@gmail.com
Corresponding author: Festim Kamberi, Department of Computer Engineering International Balkan University, IBU Skopje, Macedonia, 
Email: kamberifestim@gmail.com
How to cite this paper: Halili, F. & Kamberi, F. (2018) Performance analysis of classification Algorithms: A case study of Naïve Bayes and J48 in Big Data. Journal of Applied Mathematics and Computation, 2(2), 50-57.
http://dx.doi.org/10.26855/jamc.2018.02.003
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