… Furthermore, with the availability of different clinical technologies, tumor features have
been collected for breast cancer classification. Therefore, feature selection and accuracy …

… For this purpose, machine learning algorithms like Support Vector Machines, Naive Bayes,
K… MLP and J48 with PCA is the best fusion for WBC [8]. Similarly for WDBC, SMO and MLP or …

… diseases using classification algorithms such as Naive Bayes and Support Vector Machine.
… accuracy of J48 and Navie Bayes algorithms in different attribute numbers which are ranked …

… our proposed model, J48, SVM and BayesNet using ISCX and … highest percentage of correctly
classified instances for both … for intrusion detection systems using support vector machines"…

… based Naïve Bayes, k-Nearest Neighbors, Decision Tree and … A Support Vector Machine
(SVM) is based on statistical … of selected features, one with 11 features selected using GA …

… The results proved that J48 is outshining among all the classifiers for … on Support Vector
Machines (SVMs). In order to train a … Naïve Bayes is only showing one percent gain on applying …

… dataset with 11 parameters after feature selection on Support Vector Machine, Random Forest,
Naïve Bayes, Decision Tree … Bayes, J48 and K-nearest neighbor algorithms were applied …

… For optimizing the parameter for support vector machine (SVM), an adjusted bat … Using
neural network with back propagation and different data mining techniques like J48, naïve bayes …

… Naïve Bayes was selected from Bayes category Classifier, KNN was selected from Instance
Based Learner category, J48 … The Naive Bayes algorithm is a simple probabilistic classifier …

… was that Naïve Bayes provides a proper classification of … The techniques used: J48 algorithm,
Support Vector Machine … the common features selected by the feature selection methods. …