Rough set approach has been recognized to be one of the powerful tools in medical feature selection. Many feature selection methods based on rough set have been proposed, where numerous experimental results have demonstrated that these methods based on discernibility matrix are efficient. However, the high storage space and the time-consuming computation restrict its application. In this paper,...

Feature selection can significantly be decisive when analyzing high dimensional data, especially with a small number of samples. Feature extraction methods do not have decent performance in these conditions. With small sample sets and high dimensional data, exploring a large search space and learning from insufficient samples becomes extremely hard. As a result, neural networks and clustering a...

Background: Microarray experiments can simultaneously determine the expression of thousands of genes. Identification of potential genes from microarray data for diagnosis of cancer is important. This study aimed to identify genes for the diagnosis of acute myeloid and lymphoblastic leukemia using a sparse feature selection method. Materials and Methods: In this descriptive study, the expressio...

Sentiment analysis of tweets is a powerful application of mining social media sites that can be used for a variety of social sensing tasks. Common feature engineering techniques frequently result in a large numbers of features being generated to represent tweets. Many of these features may degrade classifier performance and increasing computational cost. Feature selection techniques can be used...

Feature selection is an essential process in datamining applications since it reduces amodel’s complexity. However, feature selection with various types of costs is still a new research topic. In this paper, we study the cost-sensitive feature selection problem of numeric datawithmeasurement errors.Themajor contributions of this paper are fourfold. First, a newdatamodel is built to address test...

this study investigates the detection of the drowsiness state for a future application such as in the reduction ofthe road traffic accidents. the electroencephalography(eeg), electrooculography (eog), driving quality (dq), and karolinska sleepiness scale (kss) data of 7 male during approximately 20 hours of sleep deprivation were recorded. to reduce the eye blink artifact, an automatic mechanis...