Results 41 to 50 of about 213,693 (303)

The Comparison Combination of Naïve Bayes Classification Algorithm with Fuzzy C-Means and K-Means for Determining Beef Cattle Quality in Semarang Regency

open access: yesScientific Journal of Informatics, 2018
The beef cattle quality certainly affects the quality of meat to be consumed. This research performs data processing to do the classification of beef cattle quality. The data used are 196 data record taken from data in 2016 and 2017.
Feroza Rosalina Devi   +2 more
doaj   +1 more source

Klasifikasi Jenis Penyandang Masalah Kesejahteraan Sosial Menggunakan Naïve Bayes

open access: yesJurnal Sains dan Informatika, 2020
Kebutuhan utama dalam merumuskan kebijakan, program, dan kegiatan pembangunan kesejahteraan sosial adalah ketersediaan data Penyandang Masalah Kesejahteraan Sosial (PMKS). Setiap individu dalam sebuah rumah tangga sangat miskin cenderung memiliki lebih dari satu kategori jenis PMKS.
openaire   +1 more source

Comparative Analysis of Classification Methods of KNN and Naïve Bayes to Determine Stress Level of Junior High School Students

open access: yesIndonesian Journal of Information Systems, 2020
Stress is generally defined as a state where someone is mentally disturbed as the response to the adversity that he/she experiences. Junior High School students usually are not aware of the stress that they encounter.
Yohanes Christopher Tapidingan   +1 more
doaj   +1 more source

Comparing Fuzzy Logic Mamdani and Naïve Bayes for Dental Disease Detection

open access: yesJournal of Information Systems Engineering and Business Intelligence, 2022
Background: Dental disease detection is essential for the diagnosis of dental diseases. Objective: This research compares the Mamdani fuzzy logic and Naïve Bayes in detecting dental diseases.
Linda Perdana Wanti, Oman Somantri
doaj   +1 more source

Filtering Useful App Reviews Using Naïve Bayes—Which Naïve Bayes?

open access: yesAI
App reviews provide crucial feedback for software maintenance and evolution, but manually extracting useful reviews from vast volumes is time-consuming and challenging.
Pouya Ataei   +3 more
doaj   +1 more source

Implementasi Ekstraksi Fitur untuk Pengelompokan Dokumen Proposal Menggunakan Algoritma Naïve Bayes

open access: yesJurnal Komputer Terapan, 2022
Text mining merupakan proses penemuan informasi yang baru yang belum diketahui sebelumnya dari beberapa dokumen teks. Text mining dapat diterapkan pada bidang ekstraksi informasi, pelacakan topik, perangkuman dokumen, membuat kategorisasi atau pengelompokan dokumen, concept linking atau question answering system.
Dini Nurmalasari, Heri Ribut Yuliantoro
openaire   +2 more sources

KLASIFIKASI KEMANCETAN LALU LINTAS DI INDONESIA MENGGUNAKAN METODE NAIVE BAYES CLASSIFICATION

open access: yesSimetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer, 2023
Tujuan dari penelitian ini untuk data menganalisis akurasi kemancetan menggunakan google colab  dalam mendeteksi kemacetan berdasarkan provinsi di indonesia, penulis mencoba menguji strategi dalam menangani Kemacetan wilayah indonesia, dengan ...
abdul robi padri
doaj   +1 more source

Heart Disease Prediction Model Using Naïve Bayes Algorithm and Machine Learning Techniques

open access: yesInternational Journal of Engineering & Technology, 2021
These days, heart disease comes to be one of the major health problems which have affected the lives of people in the whole world. Moreover, death due to heart disease is increasing day by day. So the heart disease prediction systems play an important role in the prevention of heart problems.
Maria Yousef, Prof. Khaled Batiha
openaire   +2 more sources

Naïve Bayes classifiers for authorship attribution of Arabic texts

open access: yesJournal of King Saud University: Computer and Information Sciences, 2014
Authorship attribution is the process of assigning an author to an anonymous text based on writing characteristics. Several authorship attribution methods were developed for natural languages, such as English, Chinese and Dutch.
Alaa Saleh Altheneyan   +1 more
doaj   +1 more source

EMPLOYEE TURNOVER CLASSIFICATION USING PSO-BASED NAÏVE BAYES AND NAÏVE BAYES ALGORITHM IN PT. MASTERSYSTEM INFOTAMA

open access: yesJurnal Riset Informatika, 2021
Turnover occurs because many employees leave and new employees enter, so the turnover in and out of employees is quite high, therefore turnover can be controlled with a strategy to increase employee engagement. PT.
Endang Sri Palupi
doaj   +1 more source

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