Results 11 to 20 of about 102,648 (335)
Augmented Semi-naive Bayes Classifier
, 2013 The naive Bayes is a competitive classifier that makes strong conditional independence assumptions. Its accuracy can be improved by relaxing these assumptions. One classifier which does that is the semi-naive Bayes. The state-of-the-art algorithm for learning a semi-naïve Bayes from data is the backward sequential elimination and joining (BSEJ ...
Mihaljevic, Bojan +2 more
openaire +3 more sources
Learning the naive Bayes classifier with optimization models [PDF]
International Journal of Applied Mathematics and Computer Science, 2013 Abstract Naive Bayes is among the simplest probabilistic classifiers. It often performs surprisingly well in many real world applications, despite the strong assumption that all features are conditionally independent given the class. In the learning process of this classifier with the known structure, class probabilities and conditional ...
Sona Taheri, Musa A. Mammadov
core +4 more sources
ANALISIS SENTIMEN MASYARAKAT TERHADAP PAYLATER MENGGUNAKAN METODE NAIVE BAYES CLASSIFIER
ZONAsi Jurnal Sistem Informasi, 2023 Online shopping is so popular with the public because it is easy and convenient to do. The convenience of online shopping is supported by the payment method via paylater. However, paylater also results in bad behavior such as impulse buying.
Alfandi Safira, Firmanul Hasan
semanticscholar +1 more source
Intelligent Health Risk and Disease Prediction Using Optimized Naive Bayes Classifier
Journal of Internet Services and Information Security, 2023 Machine learning is the subset of Artificial Intelligence and it is used for prediction various real time data analytics applications. Health care monitoring is the major area to analyse the result and make effective decisions.
Latifah Alamer
semanticscholar +1 more source
Jurnal Informatika dan Teknik Elektro Terapan, 2022 Abstrak~Dalam penelitian ini akan dilakukan analisis sentimen masyarakat terhadap kinerja Dewan Perwakilan Rakyat (DPR) yang diungkapkan melalui media sosial twitter. Ada beberapa tahap untuk melakukan analisis sentimen , yaitu pengumpulan data (crawling)
Dianati Duei Putri +2 more
semanticscholar +1 more source
Directional naive Bayes classifiers [PDF]
Pattern Analysis and Applications, 2013 Directional data are ubiquitous in science. These data have some special properties that rule out the use of classical statistics. Therefore, different distributions and statistics, such as the univariate von Mises and the multivariate von Mises–Fisher distributions, should be used to deal with this kind of information.
López Cruz, Pedro Luis +2 more
openaire +3 more sources
Threshold-based Naïve Bayes classifier
Advances in Data Analysis and Classification, 2023 The Threshold-based Naïve Bayes (Tb-NB) classifier is introduced as a (simple) improved version of the original Naïve Bayes classifier. Tb-NB extracts the sentiment from a Natural Language text corpus and allows the user not only to predict how much a ...
Maurizio Romano +3 more
semanticscholar +1 more source
Jurnal Teknik dan Science, 2022 Sentiment analysis or opinion mining is a study that analyzes people's opinions, thoughts and impressions on various topics, subjects, and products or services. The development of social media makes public opinion data available which can be found easily
Ernianti Hasibuan +1 more
semanticscholar +1 more source
Complement-Class Harmonized Naïve Bayes Classifier
Applied Sciences, 2023 Naïve Bayes (NB) classification performance degrades if the conditional independence assumption is not satisfied or if the conditional probability estimate is not realistic due to the attributes of correlation and scarce data, respectively.
Fahad S. Alenazi +2 more
doaj +1 more source
Ilkom Jurnal Ilmiah, 2020 In this research, the performance of SVM classification method will be compared with other classification methods, by using the Naïve Bayes classification method.
Lutfi Budi Ilmawan +1 more
doaj +1 more source