Naïve Bayes classification is widely used for landslide susceptibility analysis, especially in the form of weights-of-evidence. However, when significant conditional dependence is present, the probabilities derived from weights-of-evidence are biased ...
Florimond De Smedt +2 more
doaj +1 more source
Створення та тестування спеціалізованих словників для аналізу тексту [PDF]
Practitioners in many domains–e.g., clinical psychologists, college instructors, researchers–collect written responses from clients. A well-developed method that has been applied to texts from sources like these is the computer application Linguistic ...
Fu Zun Yang, Winson +11 more
core
Usefulness of regional right ventricular and right atrial strain for prediction of early and late right ventricular failure following a left ventricular assist device implant: A machine learning approach [PDF]
Background: Identifying candidates for left ventricular assist device surgery at risk of right ventricular failure remains difficult. The aim was to identify the most accurate predictors of right ventricular failure among clinical, biological, and ...
Agnese V. +14 more
core +1 more source
KLASIFIKASI MAMMOGRAM MENGGUNAKAN VECTOR FITUR DAN NAÏVE BAYES CLASSIFIER [PDF]
KLASIFIKASI MAMMOGRAM MENGGUNAKAN VECTOR FITUR DAN NAÏVE BAYES CLASSIFIER - Fitur, Mammogram, Naïve Bayes classifier ...
ANGRIES, ANGRIES, D. Santika, Diaz
core
Opinion Mining Pada Review Produk Kecantikan Menggunakan Algoritma Naïve Bayes
Abstract— In recent years many sentiment analysis and opinion mining applications have been developed to analyze opinions, feelings and attitudes about products, brands, and news, etc. These applications mine opinions from different sources like online forums and news sites and from movie, product and hotel reviews.
openaire +1 more source
Illiteracy Classification Using K Means-Naïve Bayes Algorithm
Illiteracy is an inability to recognize characters, both in order to read and write. It is a significant problem for countries all around the world including Indonesia. In Indonesia, illiteracy rate is generally set as an indicator to see whether or not education in Indonesia is successful.
Muhammad Firman Aji Saputra +2 more
openaire +3 more sources
Prediksi Lama Studi Mahasiswa Menggunakan Naïve Bayes Berdasarkan Aspek Sosial Ekonomi Mahasiwa
Perguruan tinggi merupakan satuan penyelenggara pendidikan tinggi sebagai tingkat lanjut jenjang pendidikan menengah di jalur pendidikan formal. Kualitas perguruan tinggi, khususnya perguruan tinggi di Indonesia diukur berdasarkan 9 standar utama. Salah satu aspek yang berpengaruh ialah mahasiswa dan lulusan.
Desy Pratiwi Ika Putri +2 more
openaire +1 more source
SENTIMENT ANALYSIS BASED ON PROBABILISTIC CLASSIFIER TECHNIQUES IN VARIOUS INDONESIAN REVIEW DATA
Sentiment analysis is the field in data science to achieve a broader holistic view of users' needs and expectations. Indonesian user opinions have the potential to manage to be valuable information using sentiment analysis tasks.
Nur Hayatin +3 more
doaj +1 more source
PERBANDINGAN METODE KLASIFIKASI NAÏVE BAYES DAN K-NEAREST NEIGHBOR PADA ANALISIS DATA STATUS KERJA DI KABUPATEN DEMAK TAHUN 2012 [PDF]
Large population in Indonesia is closely related to the working status of the population which is unemployed or employed. It can lead to the high unemployment when the avaliable jobs arent balance with the population.
PUTRI, RIYAN EKO
core
Comparison of C4.5 and Naïve Bayes Algorithms for Assessment of Public Complaints Services
Public service is one type of service provided by the government. The National Commission on Human Rights as a state institution, one of its functions is to provide services for complaints of cases of human rights violations. The purpose of this study was to find the most appropriate algorithm method by looking at the results of the accuracy and the ...
Martin Martin, Lala Nilawati
openaire +1 more source

