In data mining problems, the high dimensionality of input features can affect performance process. this way, selection methods appear as a solution to problems encountered when analyzing databases with large dimensions. This article presents implementation Pearson’s linear correlation, ReliefF, Welch’s t-test and multilinear regression based algorithms forwards backward elimination direction fo...

The immersion is an essential component of the modern digital game. Currently, required which should be included in game success within industry surely has as a component. Although games have been introduced for many years, yet what known very little. Regarding intensive study about user immersion, there still lack knowledge immersion. First, designers, developers, and gamers are facing problem...

The ensemble methods are meta-algorithms that combine several base machine learning techniques to increase the effectiveness of classification. Many existing committees classifiers use classifier selection process determine optimal set classifiers. In this article, we propose framework with relearning Additionally, in proposed newly generated features, which can be obtained after process. techn...

Introduction: Raman spectroscopy, that is a spectroscopic technique based on inelastic scattering of monochromatic light, can provide valuable information about molecular vibrations, so using this technique we can study molecular changes in a sample. Material and Methods: In this research, 153 Raman spectra obtained from normal and dried skin samples. Baseline and electrical noise were eliminat...