Results 31 to 40 of about 27,156 (209)
Kepribadian 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
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Implementation of Human Cognitive Bias on Naïve Bayes
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
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Diabetes 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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Pendekatan Metode Ensemble Learning untuk Prakiraan Cuaca menggunakan Soft Voting Classifier
Weather conditions are one of the crucial factors that need attention. Changes in weather conditions significantly impact various activities. Weather condition changes are determined by numerous factors, often occurring within a relatively short period ...
Steven Joses +2 more
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Energy optimization for wireless sensor network using minimum redundancy maximum relevance feature selection and classification techniques [PDF]
In wireless sensor networks (WSN), conserving energy is usually a basic issue, and several approaches are applied to optimize energy consumption. In this article, we adopt feature selection approaches by using minimum redundancy maximum relevance (MRMR ...
Muteeah Aljawarneh +4 more
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Analisis Sentimen Pindah Ibu Kota Berbasis Naive Bayes Classifier
Perkembangan media sosial memudahkan pengguna dalam percepatan akses informasi di internet. Akses informasi yang awalnya sulit diperoleh begitu mudah sekarang ini.
Primandani Arsi +2 more
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Breast Cancer Detection Using Ensemble Classifiers for Accuracy Improvement [PDF]
Early diagnosis of breast cancer plays a crucial role in treating the patient. Nowadays, data mining algorithms can provide intelligent methods in the health and treatment system that accurately detect breast cancer.
Mahboubeh Shamsi +2 more
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Analysis of the Use of Background Distribution for Naive Bayes Classifiers
The naive Bayes classifier is a popular classifier, as it is easy to train, requires no cross-validation for parameter tuning, and can be easily extended due to its generative model. Moreover, recently it was shown that the word probabilities (background
Andrade Daniel +2 more
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Exponential Loss Minimization for Learning Weighted Naive Bayes Classifiers
The naive Bayesian classification method has received significant attention in the field of supervised learning. This method has an unrealistic assumption in that it views all attributes as equally important.
Taeheung Kim, Jong-Seok Lee
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The increasing demand for electricity in daily life highlights the need for Smart Cities (SC) to use energy efficiently. Both technical and Non‐Technical Losses (NTL), particularly those resulting from electricity theft, present powerful obstacles; NTL ...
Arshid Ali +5 more
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