Results 31 to 40 of about 57,230 (310)

Classification using Hierarchical Naïve Bayes models [PDF]

open access: yes, 2006
Classification problems have a long history in the machine learning literature. One of the simplest, and yet most consistently well-performing set of classifiers is the Naïve Bayes models.
Dyhre Nielsen, Thomas ; id_orcid   +3 more
core   +1 more source

Boosted Gaussian Bayes Classifier and its application in bank credit scoring

open access: yesJournal of Advanced Engineering and Computation, 2018
With the explosion of computer science in the last decade, data banks and networks management present a huge part of tomorrows problems. One of them is the development of the best classication method possible in order to exploit the data bases.
Anaïs Pizzo   +2 more
doaj   +1 more source

Analysis of Educator Readiness in the Online Teaching Learning Process Using Naïve Bayes

open access: yesJOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING, 2022
This study discusses the readiness of educators in the online teaching and learning process. Samples of data were taken randomly as many as 100 (one hundred) people who were carried out using a questionnaire for educators at the junior high school level in the city of Medan.
Yuyun Yusnida Lase   +4 more
openaire   +2 more sources

Algoritma Naïve Bayes untuk Prediksi Kualitas Sperma

open access: yes, 2023
Masalah infertilitas antara pasangan suami istri menjadi masalah penting yang dapat mengganggu keharmonisan rumah tangga. Faktor terbesar penyebab infertilitas bagi pria adalah masalah kualitas sperma.
Rosida, Vivi   +3 more
core   +1 more source

DATA MINING USING RANDOM FOREST, NAÏVE BAYES, AND ADABOOST MODELS FOR PREDICTION AND CLASSIFICATION OF BENIGN AND MALIGNANT BREAST CANCER

open access: yesPilar Nusa Mandiri, 2022
This study predicts and classifies benign and malignant breast cancer using 3 classification models. The method used in this research is Random Forest, Naïve Bayes and AdaBoost.
Bahtiar Imran   +5 more
doaj   +1 more source

ALGORITMA NAÏVE BAYES CLASSIFIER UNTUK PREDIKSI STRESS [PDF]

open access: yes, 2023
Stress adalah perasaan umum yang dapat kita alami ketika dibawah tekanan atau bergumul dengan suatu situasi. Stress yang berlebihan dapat berdampak negatif pada suasana hati, kesehatan fisik dan mental kita, serta hubungan kita dengan orang lain ...
Wahyuningsih, Yulia   +1 more
core  

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

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

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

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

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