ANALYSIS OF DATA MINING APPLICATIONS FOR DETERMINING CREDIT ELIGIBILITY USING CLASSIFICATION ALGORITHMS C4.5, NA�VE BAYES, K-NN, AND RANDOM FOREST

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UEU » Journal » Magister Ilmu Komputer
Posted by [email protected] at 22/01/2024 11:09:18 • 157 Views

ANALYSIS OF DATA MINING APPLICATIONS FOR DETERMINING CREDIT ELIGIBILITY USING CLASSIFICATION ALGORITHMS C4.5, NA�VE BAYES, K-NN, AND RANDOM FOREST

Created by :
Yessy Oktafriani ( 20190804006 )
Gerry Firmansyah (0305116804) ; Budi Tjahyono (0330126703); Agung Mulyo Widodo (0021017305)

Subject:	DATA MINING KOPERASI KREDIT ALGORITMA
Alt. Subject :	DATA MINING CREDIT UNION ALGORITHM
Keyword:	Data Mining Determining Credit Eligibility Algorithms C4.5 Na�ve Bayes K-NN Random Forest

Date Create	:	22/01/2024
Type	:	Text
Format	:	pdf
Language	:	Indonesian
Identifier	:	UEU-Journal-11_4520
Collection ID	:	11_4520

Source :
Asian Journal of Social and Humanities,Vol. 01, No. 12, September 2023

Relation Collection:
Fakultas Ilmu Komputer

Coverage :
Civitas Akademika Unversitas Esa Unggul

Rights :
@2024 Perpustakaan Universitas Esa Unggul

Publication URL :
https://digilib.esaunggul.ac.id/analysis-of-data-mining-applications-for-determining-credit-eligibility-using-classification-algorithms-c45-nave-bayes-knn-and-random-forest-31510.html

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