62 citations · 107 across the 4 of their papers we have counts for
3 papers
A Hybrid Feature Selection Method to Improve Performance of a Group of Classification Algorithms
Mehdi Naseriparsa, Amir-Masoud Bidgoli, Touraj Varaee
In this paper a hybrid feature selection method is proposed which takes advantages of wrapper subset evaluation with a lower cost and improves the performance of a group of classif…
Combination of PCA with SMOTE Resampling to Boost the Prediction Rate in Lung Cancer Dataset
Mehdi Naseriparsa, Mohammad Mansour Riahi Kashani
Classification algorithms are unable to make reliable models on the datasets with huge sizes. These datasets contain many irrelevant and redundant features that mislead the classif…
Improving Performance of a Group of Classification Algorithms Using Resampling and Feature Selection
Mehdi Naseriparsa, Amir-masoud Bidgoli, Touraj Varaee
In recent years the importance of finding a meaningful pattern from huge datasets has become more challenging. Data miners try to adopt innovative methods to face this problem by a…