[PDF][PDF] Comparative between optimization feature selection by using classifiers algorithms on spam email

G Rawashdeh, R Mamat… - International …, 2019 - download.garuda.kemdikbud.go.id
… Neural Network (NN), Naïve Bayes (NB, and support vector machine (SVM) and found to …
However, [11] used tree-based J48 while our research used KNN with NB and tested the …

[PDF][PDF] A review on feature selection and ensemble techniques for intrusion detection system

M Torabi, NI Udzir, MT Abdullah… - … Journal of Advanced …, 2021 - pdfs.semanticscholar.org
… A classifier ensemble is built as a base classifier using the Support Vector Machine (SVM)
and … of ML classifiers comprising Bayesian Network, J48, and Naive Bayes [15]. In this model, …

[HTML][HTML] Improving the performance of support-vector machine by selecting the best features by Gray Wolf algorithm to increase the accuracy of diagnosis of breast …

SR Kamel, R YaghoubZadeh, M Kheirabadi - Journal of Big Data, 2019 - Springer
… as a combination of feature selection method by Gray Wolf … using various classification
algorithms such as Rep Tree, J48, … The results implied that the Naive Bayes algorithm presented …

[PDF][PDF] Intelligent detection of breast cancer with feature selection based on logistic regression and support vector machine Classification

Z Khandezamin, M Naderan, MJ Rashti - Journal of Soft Computing and …, 2020 - jscit.nit.ac.ir
… more important features. In the second step, the Support Vector Machine (SVM) classification
… “A new classifier for breast cancer detection based on Naïve Bayesian,” Measurement, Vol. …

Multiclass classification of cardiac arrhythmia using improved feature selection and SVM invariants

A Mustaqeem, SM Anwar… - … and mathematical methods …, 2018 - Wiley Online Library
… Since support vector machine (SVM) is recognized to have … Similarly, OneR, J48, Naïve
Bayes, SVM, logistic regression, KNN, … SVM and Naïve Bayes classifier shows best result when …

[HTML][HTML] Feature selection using an improved Chi-square for Arabic text classification

S Bahassine, A Madani, M Al-Sarem, M Kissi - Journal of King Saud …, 2020 - Elsevier
classification accuracy. Then, we compare the effect of eight selection procedures using
four features selection … classifiers: Naïve Bayesian, Multi-variant Bernoulli Naïve Bayes (MBNB) …

A support vector machine-firefly algorithm for movie opinion data classification

S Styawati, K Mustofa - IJCCS (Indonesian Journal of Computing …, 2019 - journal.ugm.ac.id
Vector Machine (SVM), Maximum Entropy, J48 [3]. The … [4], comparing three classification
methods namely Naive Bayes (NB), maximum entropy and Support Vector Machine (SVM). The …

[HTML][HTML] A fuzzy based feature selection from independent component subspace for machine learning classification of microarray data

R Aziz, CK Verma, N Srivastava - Genomics data, 2016 - Elsevier
… In this paper, a fuzzy backward feature elimination (FBFE) approach is used to eliminate the
… the DNA microarray data for support vector machine (SVM) and Naïve Bayes (NB) classifiers…

Class-specific features using j48 classifier for text classification

R Patil, VM Barkade - 2018 Fourth International Conference on …, 2018 - ieeexplore.ieee.org
… of text like rule learning algorithms nearest neighbour classifiers, Support Vector Machines,
… text categorization as naive bayes and weighted j48 classifier and feature selection methods …

[HTML][HTML] A hybrid supervised machine learning classifier system for breast cancer prognosis using feature selection and data imbalance handling approaches

YS Solanki, P Chakrabarti, M Jasinski, Z Leonowicz… - Electronics, 2021 - mdpi.com
… and found that Bayes network and support vector machine (SVM) … approach (Greedy Stepwise
+ Naive Bayes), Multilayer … ) in J48 classifier based on Genetic Search feature selection