Backpropagation Learning Algorithms for Email Classification.
Journal Title: International Journal on Computer Science and Engineering - Year 2016, Vol 8, Issue 7
Abstract
Today email has become one the fastest and most effective form of communication. The popularity of this mode of transmitting goods, information and services has motivated spammers to perfect their technical skills to fool spam filters. This development has worsened the problems faced by Internet users as they have to deal with email congestion, email overload and unprioritised email messages. The result was an exponential increase in the number of email classification management tools for the past few decades. In this paper we propose a new spam classifier using a learning process of multilayer neural network to implement back propagation technique. Our contribution to the body of knowledge is the use of an improved empirical analysis to choose an optimum, novel collection of attributes of a user’s email contents that allows a quick detection of most important words in emails. We also demonstrate the effectiveness of two equal sets of emails training and testing data.
Authors and Affiliations
*David Ndumiyana and Tarirayi Mukabeta
A SURVEY OF CALL MARKET (DISCRETE) AGENT BASED ARTIFICIAL STOCK MARKETS
Artificial stock markets are models of financial markets used to study and understand market dynamics. Agent Based Artificial Stock Markets can be seen as any market model in which prices are formed endogenously as a res...
Signature Analysis of UDP Streams for Intrusion Detection using Data Mining Algorithms
with the increased use of internet for a wide range of activity from simple data search to online commercial transactions, securing the network is extremely important for any organization. Intrusion detection becomes ex...
ROBOT NAVIGATION USING IMAGE PROCESSING AND ISOLATED WORD RECOGNITION
In this paper, a practical implementation of image processing and isolated word recognition has been explained. A modeled vehicle has been driven autonomously on the road and can navigate on a road on its own, stop at ze...
WEIGHTAGE FACTOR BASED SCHEME FOR PERFORMANCE IMPROVEMENT IN AD HOC NETWORKS
Ad-hoc networks are a new wireless networking paradigm for mobile hosts. Ad hoc networks don’t require any fixed infrastructure such as base stations or mobile switching centers. Node mobility in an ad-hoc network causes...
Scalability Performance of MANET Routing Protocols with Reference to Variable Pause Time
As mobile networking continues to experience increasing popularity, the need to connect large numbers of wireless devices will become more prevalent. Many recent proposals for ad hoc routing have certain characteristics....