PERBANDINGAN ALGORITMA NAIVE BAYES DAN ALGORITMA C4.5 PADA KLASIFIKASI DATA

PANJAITAN, LIDYA A and Primartha, Rifkie and Saputra, Danny Matthew (2019) PERBANDINGAN ALGORITMA NAIVE BAYES DAN ALGORITMA C4.5 PADA KLASIFIKASI DATA. Undergraduate thesis, Sriwijaya University.

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Abstract

Data Mining is the analysis of the large data to find a clear correlation and conclude that is not known in advance by the current and easy way to understand and useful for the data owner. Classification is the process of grouping a variable into a class that has been determined . The study is comparing the Naïve Bayes algorithm and C4.5 algorithm to classify the data. Naïve Bayes algorithm is an algorithm that is based on probability, while C4.5 algorithm is an algorithm that is based on a tree in the establishment of the rule. This study produces a comparison of the results of accuracy and the execution time of each algorithm in carrying out the classification process of the data that has been determined. The study obtained the value of average accuracy of comparison to both methods, is Naïve Bayes methods at the Split Validation process in the amount of 92.89% and on the Cross Validation process amount of 91.73%. While for time execution of comparison of the two algorithms classification result in Naïve Bayes methods much faster than C4.5.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Data Mining, Klasifikasi, Naive Bayes, C4.5, Confussion Matrix
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Users 3715 not found.
Date Deposited:	26 Dec 2019 06:22
Last Modified:	26 Dec 2019 07:40
URI:	http://repository.unsri.ac.id/id/eprint/22237

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