Results 31 to 40 of about 73,373 (162)
Fast and accurate sentiment classification using an enhanced Naive Bayes model
, 2013 We have explored different methods of improving the accuracy of a Naive Bayes classifier for sentiment analysis. We observed that a combination of methods like negation handling, word n-grams and feature selection by mutual information results in a ...
Arora, Ishan +2 more
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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
Anomaly Detection Based on Indicators Aggregation [PDF]
, 2014 Automatic anomaly detection is a major issue in various areas. Beyond mere detection, the identification of the source of the problem that produced the anomaly is also essential.
Cottrell, Marie +3 more
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Jurnal Teknologi Informasi dan Ilmu KomputerKepribadian Myers-Briggs Type Indicator ( MBTI ) telah menjadi topik populer dalam memahami karakteristik individu dan dampaknya pada interaksi sosial, karir, dan pengambilan keputusan.
Mutiara Persada Pulungan +2 more
doaj +3 more sources
Exploring Social Media for Event Attendance [PDF]
, 2017 Large popular events are nowadays well reflected in social media fora (e.g. Twitter), where people discuss their interest in participating in the events.
de Lira, Vinicius Monteiro +5 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
A New Hierarchical Redundancy Eliminated Tree Augmented Naive Bayes Classifier for Coping with Gene Ontology-based Features [PDF]
, 2016 The Tree Augmented Naive Bayes classifier is a type of probabilistic graphical model that can represent some feature dependencies. In this work, we propose a Hierarchical Redundancy Eliminated Tree Augmented Naive Bayes (HRE-TAN) algorithm, which ...
Freitas, Alex A., Wan, Cen
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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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PERBANDINGAN KINERJA NAIVE BAYES CLASSIFIER DAN JARINGAN SYARAF TIRUAN BACKPROPAGATION PADA KLASIFIKASI PENYAKIT KANKER PAYUDARA [PDF]
, 2017 Klasifikasi antara sel kanker dengan normal menggunakan data fluorescence hasil pengukuran ekpresi gen MicroRNA sangat diperlukan untuk keberhasilan sistem dektesi dini.
KHASBURRAHMAN, KHARIS, Wibowo, Adi
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A Decision tree-based attribute weighting filter for naive Bayes [PDF]
, 2006 The naive Bayes classifier continues to be a popular learning algorithm for data mining applications due to its simplicity and linear run-time. Many enhancements to the basic algorithm have been proposed to help mitigate its primary weakness--the ...
Hall, Mark A.
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