J Balakumar, SV Mohan - Information Discovery and Delivery, 2019 - emerald.com
… featureselection, evaluates the efficiency of the ABCFS algorithm and improves the support vectormachine. … ) proposed the feature selectors and feature weights with NaiveBayes and …
… classification algorithms including NaïveBayes, J48, Random Forest, Logistic Regression, K-Nearest Neighbors, SupportVectorMachines, … learning is SupportVectorMachine. This …
MA Azhar, PA Thomas - 2019 International conference on …, 2019 - ieeexplore.ieee.org
… than the other data mining techniques NaïveBayes and J48. … as a supportvectormachine. This is also called a supervised … is known as NaïveBayes. It is also a supervised learning …
RB Lukmanto, A Nugroho, H Akbar - Procedia Computer Science, 2019 - Elsevier
… Forest and SupportVectorMachines; and the results show that J48 decision … machine learning framework such as NaïveBayes, Decision Tree and SupportVectorMachine by using …
B Durgalakshmi, V Vijayakumar - Computational Intelligence, 2020 - Wiley Online Library
… 82.78% for all the features and 86.34% for featuresselected. The accuracy for the proposed algorithm is high when compared to other featuresselection like NaïveBayes, K-the nearest …
… However, The NaïveBayes algorithm has the fastest runtime … proposed classification models and found that the J48 model … five classification models including supportvectormachine, …
MN Aziz, T Ahmad - International Journal of Intelligent Engineering & …, 2019 - inass.org
… The first classification uses SupportVectorMachine (SVM) with linear kernels, which finds … IDS applications using three classification methods: SVM, NaïveBayes, and J48. The first …
… 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 featuresselected along …
… j48 classifier (61.98%) and naiveBayes of (43.27%), Jrip … high accuracy when using a supportvectormachine (SVM) as … Lu, Incorporating featureselection method into supportvector …