… of Support Vector Machines (SVM) with four Bayesian algorithms … Naïve Bayes Tree (NBT),
Bayes network (BN), Naïve Bayes (… Bayesian algorithm-based methods namely Naïve Bayes …

… trees, support vector machines, etc. To … selected the top weighted n features by the GA
as feature list, after that we applied the J48 (decision tree), the Naïve Bayes Multinominal (Bayes), …

… -Support Vector Machine (GA-SVM) feature selection technique is developed to optimize the
SVM classification … result compared with J48 or Naïve Bayesian classifier on large features. …

… The proposed method is a combination of chisquare (CH) filter-based and wrapper-based …
using naïve bayes (NB), support vector machine (SVM), and decision trees (J48) classification …

… in which we applied Naive Bayes, C4.5 Decision Tree and … of J48 (AUC=0.745) ‘Fair’ while
accuracies of Naïve Bayes (AUC … In our work, we found Support Vector Machine giving much …

… to Support vector machines, Sequential forward selection method and WDBC dataset used
for the experiment. The CSSFFS feature selection … , Naïve bayes and J48 are used to classify …

… , Support Vector Machines and Memory based … using various filter Feature Selection
method. The accuracy of the classifiers Naïve Bayes, J48 and IB1 using the features selected by …

… and Support Vector Machines (SVM) classification gives the … SNORT signatures with a Naive
Bayes classifier. With the … (NN), Support Vector Machine (SVM), Decision Tree (J48), and …

… The objective of this work is to provide a detailed analysis of two feature selection methods
… classification methods namely, Naive Bayes, decision tree (J48), support vector machines (…

… Support vector machines (SVMs) are highly effective in traditional text categorization, and
can outperform Naive Bayes [11]. … This paper uses the J48 classifier which implements C4.5 …