Toward Accurate Feature Selection Based on BSS-GRF
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2014, Vol 5, Issue 8
Abstract
in recent years, Feature extraction in e-mail classification plays an important role. Many Feature extraction algorithms need more effort in term of accuracy. In order to improve the classifier accuracy and for faster classification, the hybrid algorithm is proposed. This hybrid algorithm combines the Genetics Rough set with blind source separation approach (BSS-GRF). The main aim of proposing this hybrid algorithm is to improve the classifier accuracy for classifying incoming e-mails.
Authors and Affiliations
S. Elseuofi, Samy El -Hafeez, Wael Awad, R. El-Awady
Keywords
Related Articles
- EP ID EP88817
- DOI 10.14569/IJACSA.2014.050808
- Views 129
- Downloads 0
A particle swarm optimization algorithm for the continuous absolute p-center location problem with Euclidean distance
The p-center location problem is concerned with determining the location of p centers in a plane/space to serve n demand points having fixed locations. The continuous absolute p-center location problem attempts to locate...
OpenCL-Accelerated Object Classification in Video Streams using Spatial Pooler of Hierarchical Temporal Memory
The paper presents a method to classify objects in video streams using a brain-inspired Hierarchical Temporal Memory (HTM) algorithm. Object classification is a challeng-ing task where humans still significantly outperfo...
The Utilization of Feature based Viola-Jones Method for Face Detection in Invariant Rotation
Faces in an image consists of complex structures in object detection. The components of a face, which includes the eyes, nose and mouth of a person differs from that of ordinary objects, thus making face detecting a com...
Automatic Control of Colonoscope Movement for Modern Colonoscopy
The paper presents the mathematical realization of the trajectory that the colonoscope should have in the medical intervention, as well as the mathematical demonstration of the functions that make up the colonoscope. The...
Towards an Adaptive Learning System Based on a New Learning Object Granularity Approach
To achieve the adaptability required in ALS, adaptive learning system (ALS) takes advantage of granular and reusable content. The main goal of this paper is to examine the learning object granularity issue which is direc...