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...

The departure of good employee incurs direct and indirect cost impacts for an organization. arises from hiring to training the relevant employee. replacement time lost productivity affect running business processes. This work presents use ensemble classifier identify important attributes that affects attrition significantly. data consists related job function, education level, satisfaction towa...

In this project a classifier is developed that can classify a blog into different categories based on the topics that author frequently writes about. Treating each blog as a document and each topic category as a class, a SVM based multi-class classifier is developed. The impact of feature selection has been studied by using different methods to generate the feature vector from the documents.

A new approach for inducing decision trees is proposed based on the Variable Precision Rough Set Model. From the rough set theory point of view, in the process of inducing decision trees with evaluations of candidate attributes, some methods based on purity measurements, such as information entropy based methods, emphasize the effect of class distribution. The more unbalanced the class distribu...