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What is Naïve Bayes

Chapter 156
Encyclopedia of Data Science and Machine Learning
A naive Bayes is an algorithm that uses Bayes' theorem to classify objects.
Published in Chapter:
Analyzing the Significance of Learner Emotions Using Data Analytics
Shanmugasundaram Hariharan (Vardhaman College of Engineering, India), Magdalene Delighta Angeline D. (Joginpally B. R. Engineering College, India), Ramasubramanian Perumal (Shadan Women's College of Engineering and Technology, India), and Samuel PeterJames I. (Independent Researcher, India)
Copyright: © 2023 |Pages: 23
DOI: 10.4018/978-1-7998-9220-5.ch156
Abstract
Research on emotional intelligence (EI) in the learning process enhances the learner progress to attain the aspirations that have been set. The proposed work helps to recognize the learners' emotional behavior owing to the hectic situation due to COVID-19. Concentrating on the motivational and psychometric characteristics of the learners, this study scrutinized the involvement of EI in learner's learning. For this, three learning environments (LEs) are defined that adopt different methodologies of learning to analyze the increased performance of different types of learners. The face emotions of several learners were captured, recognized, and grouped using naïve bayes algorithm. The learners with negative emotions are identified from the algorithm, and the inputs are assessed with cross-tabulation techniques like chi-square and ANOVA. The results confirm that the learning environment along with the teaching methodologies and emotional happenings in and around decide the performance of the learner.
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Chapter 3
A Paradigm for Global Student Interactions Through Digital Technologies in a Post-COVID Era
In text analysis, naïve Bayes algorithms are used to classify new instances based on prior learning from examples.
Published in Chapter: A Paradigm for Global Student Interactions Through Digital Technologies in a Post-COVID Era; From: Preparing Faculty for Technology Dependency in the Post-COVID-19 Era
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Chapter 7
Improving Techniques for Naïve Bayes Text Classifiers
Simple probabilistic classifier based on applying Bayes’ theorem with strong (naive) independence assumptions.
Published in Chapter: Improving Techniques for Naïve Bayes Text Classifiers; From: Handbook of Research on Text and Web Mining Technologies
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Chapter 12
Hybrid Intrusion Detection System for Smart Home Applications
Naïve Bayes is an algorithm used in supervised machine learning for predictive modelling. It is based on the assumption that the features of a measurement are statistically independent.
Published in Chapter: Hybrid Intrusion Detection System for Smart Home Applications; From: Developing and Monitoring Smart Environments for Intelligent Cities
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Chapter 158
Application of Data Mining Techniques for Breast Cancer Prognosis
Is a simple probabilistic classifier that is being used for learning to classify data.
Published in Chapter: Application of Data Mining Techniques for Breast Cancer Prognosis; From: Encyclopedia of Information Science and Technology, Third Edition
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Chapter 26
ACO_NB-Based Hybrid Prediction Model for Medical Disease Diagnosis
A Naive Bayes classifier is a probabilistic machine learning model that is used for classification tasks.
Published in Chapter: ACO_NB-Based Hybrid Prediction Model for Medical Disease Diagnosis; From: Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning
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Chapter 6
Holistic View on Detecting DDoS Attacks Using Machine Learning
Supervised method used for classification and regression problems, which utilizes Bayes' theorem with the assumption that attributes are conditionally independent for the purposes of object classification.
Published in Chapter: Holistic View on Detecting DDoS Attacks Using Machine Learning; From: Applications of Machine Learning and Deep Learning for Privacy and Cybersecurity
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