Software-based prediction of liver disease with feature selection and classification techniques
… It is the algorithm that is used by the Support Vector Machine(… the help of Naive Bayes,
Decision Table, and J48. However, … algorithms like Naïve Bayes and Support Vector Machine (…
Decision Table, and J48. However, … algorithms like Naïve Bayes and Support Vector Machine (…
[PDF][PDF] Impact of feature selection technique on email classification
… of various feature selection methods on different classification … , Naïve Bayes classifier,
Support Vector Machines (SVM) and … , tree-based algorithm J48 and support vector machine with …
Support Vector Machines (SVM) and … , tree-based algorithm J48 and support vector machine with …
An intelligent intrusion detection system using genetic based feature selection and Modified J48 decision tree classifier
B Senthilnayaki, K Venkatalakshmi… - 2013 fifth international …, 2013 - ieeexplore.ieee.org
… based feature selection algorithm proposed in this work. Section 5 details the proposed
classification … Future works in this direction can be the use of support vector machine based …
classification … Future works in this direction can be the use of support vector machine based …
… cancer survivability prediction based on performance using classification techniques of support vector machines, C4. 5 and Naive Bayes algorithms for healthcare …
KR Pradeep, NC Naveen - Procedia computer science, 2018 - Elsevier
… J48 classifier, an enhanced algorithm of C4.5 utilizes entropy and generates a decision tree.
C4.5 algorithm recognizes the main attribute … gives the details of the features selected along …
C4.5 algorithm recognizes the main attribute … gives the details of the features selected along …
A composite hybrid feature selection learning-based optimization of genetic algorithm for breast cancer detection
… j48 classifier (61.98%) and naive Bayes of (43.27%), Jrip … high accuracy when using a
support vector machine (SVM) as … Lu, Incorporating feature selection method into support vector …
support vector machine (SVM) as … Lu, Incorporating feature selection method into support vector …
Feature selection with fast correlation-based filter for breast cancer prediction and classification using machine learning algorithms
Y Khourdifi, M Bahaj - 2018 International symposium on …, 2018 - ieeexplore.ieee.org
… such as Naïve Bayes, SVM-RBF kernel, RBF neural networks, decision tree (J48) and simple
… (WPSO) with smooth support vector machine (SSVM) for classification reached 98.42% . …
… (WPSO) with smooth support vector machine (SSVM) for classification reached 98.42% . …
[PDF][PDF] A feature selection-based ensemble method for arrhythmia classification
E Namsrai, T Munkhdalai, M Li, JH Shin… - Journal of Information …, 2013 - koreascience.kr
… machine learning schemes, OneR, J48 and Naïve Bayes to … The Naïve Bayes classification
algorithm is based on the Bayes’ … Support Vector Machines are built by mapping the training …
algorithm is based on the Bayes’ … Support Vector Machines are built by mapping the training …
[HTML][HTML] Genetic Algorithm based feature selection and Naïve Bayes for anomaly detection in fog computing environment
JO Onah, M Abdullahi, IH Hassan… - Machine Learning with …, 2021 - Elsevier
… Furthermore, GOA uses support vector machine (SVM) as a … parameters for improved
classification performance. Savic et … the Bayesian Network showed an accuracy rate of 85.76%, …
classification performance. Savic et … the Bayesian Network showed an accuracy rate of 85.76%, …