Abstract±In this paper is presented the impact of feature selection on the accuracy of naïve
Bayes classifier. Six feature selection techniques have been used for feature selection …

Feature selection is one of the most interesting problems in machine learning in general and
text categorization in particular. Previous researches in feature selection often focus on …

Data mining is an inevitable step in knowledge discovery and it helps discovering hidden
and useful patterns among data. These days, the number of stored attributes for each entity …

Hand gestures are widely used in human-to-human and human-to-machine communication.
Therefore, hand gesture recognition is a topic of great interest. Hand gesture recognition is …

Feature selection is the process of identifying relevant features in the dataset and discarding
everything else as irrelevant and redundant. Since feature selection reduces the …

Feature selection is an important prerequisite of any pattern recognition, machine learning
or data mining problem. A lot of algorithms for feature subset selection have been developed …

This paper introduces a new technique for feature selection and illustrates it on a real data
set. Namely, the proposed approach creates subsets of attributes based on two criteria:(1) …

Abstract Machine learning has become an integral part of our life in today's world. Machine
learning when applied to real-world applications suffers from the problem of high …

With the rapid development of information techniques, the dimensionality of data in many
application domains, such as text categorization and bioinformatics, is getting higher and …