Results 51 to 60 of about 102,648 (335)
Use of the Naive Bayes Classifier Algorithm in Machine Learning for Student Performance Prediction
International Journal of Information and Education TechnologyThis study focused on the development and analysis of a methodological platform grounded in machine learning principles for evaluating learning processes and enhancing student outcomes.
Z. Umarova
semanticscholar +1 more source
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2018 The high low price of gold influenced by many factors such as economic conditions, inflation rate, supply and demand and much more. The Naïve Bayes algorithm is capable of generating a classification that is used to predict future opportunities. By using
Mohammad Guntur +2 more
doaj +1 more source
SENTIMENT ANALYSIS ON CLOSURE OF ILLEGAL MOVIE STREAMING SITES USING NAÏVE BAYES ALGORITHM
Pilar Nusa Mandiri, 2020 The closure of illegal movie streaming sites IndoXXI has been a trending topic on Twitter at the end of 2019. The reaction of netizens on Twitter shows positive and negative sentiments.
Dinda Ayu Muthia
doaj +1 more source
Nomograms for Visualization of Naive Bayesian Classifier [PDF]
, 2004 Besides good predictive performance, the naive Bayesian classifier can also offer a valuable insight into the structure of the training data and effects of the attributes on the class probabilities.
Kattan, Michael W +7 more
core +1 more source
Pilar Nusa Mandiri, 2020 This study proposes the merging of the K-Means clustering data mining method and the Naïve Bayes classifier (K-Means Bayes) for better results in data processing for Student Academic Performance data.
Dewi Ayu Nur Wulandari +3 more
doaj +1 more source
Sentiment analysis using fuzzy naïve bayes classifier on covid-19
Desimal, 2021 Fuzzy Naive Bayes Classifier method has been widely applied for classification. The Fuzzy Naive Bayes method which consists of a combination of two methods including fuzzy logic and Naive Bayes is used to create a new system that is expected to be better.
Zhurwahayati Putri +2 more
doaj +1 more source
Structure of Classifier Boundaries: Case Study for a Naive Bayes Classifier
CoRR, 2022 Classifiers assign complex input data points to one of a small number of output categories. For a Bayes classifier whose input space is a graph, we study the structure of the \emph{boundary}, which comprises those points for which at least one neighbor is classified differently.
Karr, Alan F. +3 more
openaire +2 more sources
Molecular Oncology, EarlyView.We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric +10 more
wiley +1 more source
Jurnal LebesgueDiabetes is a global health problem that is increasing in prevalence worldwide. This study compares the performance of two data analysis methods, namely binary logistic regression and naïve bayes classifier in predicting diabetes risk. This study aims to
Rafika Aristawidya +4 more
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Implementation of Human Cognitive Bias on Naïve Bayes
EAI Endorsed Transactions on Creative Technologies, 2016 We propose a human-cognition inspired classification model based on Naïve Bayes. Our previous study showed that human-cognitively inspired heuristics is able to enhance the prediction accuracy of text classifier based on Naïve Bayes.
Hidetaka Taniguchi +2 more
doaj +1 more source