Feature Selection by Using Discrete Imperialist Competitive Algorithm to Spam Detection

Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2014, Vol 13, Issue 11

Abstract

Spam is a basic problem in electronic communications such as email systems in large scales and large number of weblogs and social networks. Due to the problems created by spams, much research has been carried out in this regard by using classification techniques. Redundant and high dimensional information are considered as a serious problem for these classification algorithms due to their high computation costs and using a memory. Reducing feature space results in representing an understandable model and using various methods. In this paper, the method of feature selection by using imperialist competitive algorithm has been presented. Decision tree and SVM classifications have been taken into account in classification phase. In order to prove the efficiency of this method, the results of evaluating data set of Spam Base have been compared with the algorithms proposed in this regard such as genetic algorithm. The results show that this method improves the efficiency of spam detection.

Authors and Affiliations

Sorayya Mirzapour kalaibar, Seyed Naser Razavi

Keywords

Related Articles

Compared Between Ipv6 And With Ipv4,Differences And Similarities

This paperprovides Advantages of using IPv6 andcomparison of IPv4 and IPv6,For that, it’s critical to understand the differences and similarities, Some points in the near future when the sheer size of billions new device...

Implementatioin of Enhanced Transitional Communication Interface Between Mediums Using Adaptive Techniques

 Implementation of an innovative and interactive device which is having the capability of changing its own properties with dynamic nature is presented in this project. This project acts as mediator between mediums. Data...

Design of BPSK Modulator Using VHDL

Binary Phase Shift Keying represents the simulation results of binary digital modulation schemes. Here for BASK and BPSK modulation techniques use FPGA algorithm. If multiplier block is used for multiplication bit stream...

Research on Application of Brand building of Chiang Ma Yuan Recreational Farm Area

In modern society, people face expedited information communication, fast-paced life, and high-pressure work. People are eager for the natural environment of relaxation. The government in Taiwan has paid special attention...

Gradient observability and sensors for hyperbolic systems

The aim of this paper is to develop useful rigorous results related tothe gradient observability and sensors. The concept of gradient strategic sensors is characterized and applied to the wave equation. This emphasizes t...

Download PDF file
  • EP ID EP650586
  • DOI 10.24297/ijct.v13i11.2783
  • Views 146
  • Downloads 0

How To Cite

Sorayya Mirzapour kalaibar, Seyed Naser Razavi (2014). Feature Selection by Using Discrete Imperialist Competitive Algorithm to Spam Detection. INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY, 13(11), 5134-5141. https://europub.co.uk/articles/-A-650586