… They used the Naive Bayes, J48, and PART Classifier algorithms … classification algorithms
for different attack types by using the Support Vector Machine and Rule-Based Classification …

… Support Vector Machine (SVM), detection tree C4.5 and Naive Bayes (NB), for effective feature
selection. … , functional trees (FT), multilayer perceptron (MLP) and J48 for feature selection …

… machine learning techniques. They evaluated random forest, stochastic gradient boosting
and support vector machine … J48 is the Java implementation of C4.5 algorithm in Weka toolkit …

… Neural Networks, Naïve Bayes, Support Vector Machine, and … the data points near the support
vectors (decision boundary) … -validation based feature selection method to classify Type II …

… , hereby referred to as Top60 sets, were used to train ANN, kNN, Bagging, and J48 modules
of … Identifying important features for intrusion detection using support vector machines and …

… It is mentioned that traditional machine learning such as naïve bayes (NB), logistic …
comparison of accuracy: J48 decision tree (DT), support vector machine (SVM), naïve Bayes (NB), …

… to embed with SVM-RFE, while J48, IBk and Random Forest (… , while Support Vector
Machines (SVM) as a mechanism of … , Naive Bayes, IBK, Filtered Classifier, Decision Tables, and …

… The approach applies four machine learning techniques- J48, … Naive Bayes classifier is the
final classification model used in the study. It is a simplified bayesian probability model based …

… analyze five classifiers (J48, KNN, SVM, Random Forest, and Naïve Bayes classifiers). The
… GBDT) classifiers give better results than Support Vector Machine (SVM) learning algorithms. …

… into support vector machines (SVM), presents a wrapper method known as cosine similarity
measure support vector machines (… (RF), IBK, Naive Bayes, J48, Decision Table and Filtered …