FEATURE SELECTION METHODS FOR CLASSIFICATION – A COMPARISON

A Classification Method for E-mail Spam Using a Hybrid Approach for Feature Selection Optimization

Spam is an unwanted email that is harmful to communications around the world. Spam leads to a growing problem in a personal email, so it would be essential to detect it. Machine learning is very useful to solve this problem as it shows good results in order to learn all the requisite patterns for classification due to its adaptive existence. Nonetheless, in spam detection, there are a large num...

Feature Selection Using Classification Methods

Feature Selection Methods for Softcomputing Classification

Feature selection and feature creating are two of the most important and difficult tasks in the field of pattern recognition. It involves determining a good feature subset given a set of candidate features. The acoustic analysis of vibration signals in the time and frequency domain frequently generates a large number of features and makes a reduction of dimensionality necessary. The present met...

Automatic Classification of Drum Sounds: A Comparison of Feature Selection Methods and Classification Techniques

We present a comparative evaluation of automatic classification of a sound database containing more than six hundred drum sounds (kick, snare, hihat, toms and cymbals). A preliminary set of fifty descriptors has been refined with the help of different techniques and some final reduced sets including around twenty features have been selected as the most relevant. We have then tested different cl...

H-BwoaSvm: A Hybrid Model for Classification and Feature Selection of Mammography Screening Behavior Data

Breast cancer is one of the most common cancer in the world. Early detection of cancers cause significantly reduce in morbidity rate and treatment costs. Mammography is a known effective diagnosis method of breast cancer. A way for mammography screening behavior identification is women's awareness evaluation for participating in mammography screening programs. Todays, intelligence systems could...