Study on Feature Selection in Data Mining

A Study on Feature Selection Techniques in Educational Data Mining

Educational data mining (EDM) is a new growing research area and the essence of data mining concepts are used in the educational field for the purpose of extracting useful information on the behaviors of students in the learning process. In this EDM, feature selection is to be made for the generation of subset of candidate variables. As the feature selection influences the predictive accuracy o...

Feature Selection in Data Mining

Feature selection methods for mining bioinformatics data

Feature selection methods for mining bioinformatics data – p. 1/3

Data mining for feature selection in gene expression autism data

The paper presents application of data mining methods for recognizing the most significant genes and gene sequences (treated as features) stored in a dataset of gene expression microarray. The investigations are performed for autism data. Few chosen methods of feature selection have been applied and their results integrated in the final outcome. In this way we find the contents of small set of ...

Classification and Comparative Study of Data Mining Classifiers with Feature Selection on Binomial Data Set

This paper describes about the performance analysis of different data mining classifiers before and after feature selection on binomial data set. Three data mining classifiers Logistic Regression, SVM and Neural Network classifiers are considered in this paper for classification. The Congressional Voting Records data set is a binomial data set investigated in this study is taken from UCI machin...