KLASIFIKASI DOKUMEN MENGGUNAKAN WINNOWING FINGERPRINT DENGAN METODE GAUSSIAN NAIVE BAYES

KANZA, MONICA S and Sazaki, Yoppy (2019) KLASIFIKASI DOKUMEN MENGGUNAKAN WINNOWING FINGERPRINT DENGAN METODE GAUSSIAN NAIVE BAYES. Undergraduate thesis, Sriwijaya University.

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Abstract

The purpose of this research is to analyze the performance of Gaussian Naive Bayes Algorithm in classifying undergraduate thesis abstract based on its fingerprint which extracted using Winnowing Fingerprint Algorithm. The problem which aimed to be solved in this research is to find the accuration of Gaussian Naive Bayes algorithm in classifying undergraduate thesis abstract based o its fingerprint. The classification process begin with training a number of fingerprint data set, which class already known, using Gaussian Naive Bayes Algorithm for each class. Then, a number of new fingerprint data set will be tested to measure the performance of Gaussian Naive Bayes Algorithm. The result of this research shown that the percentage of the classification with the algorithm is 33,2%. Thus, we can conclude that gaussian Naive Bayes algorithm is not suitable to classify undergraduate thesis abstract data based on its fingerprint.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	gaussian naive bayes, natural language processing
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 3958 not found.
Date Deposited:	07 Jan 2020 08:18
Last Modified:	07 Jan 2020 08:18
URI:	http://repository.unsri.ac.id/id/eprint/23253

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