Accuracy Analysis of Neural Networks in Removal of Unsolicited e-mails
نویسنده
چکیده
Today communication has been revolutionized with email and other online communication systems. However, some computer users have abused the technology used to drive these communications, by sending out thousands and thousands of spam emails with little or no purpose other than to increase traffic or decrease bandwidth. With the electronic mail emerging
منابع مشابه
A proposed solution for addressing the challenge of patient cries for help through an analysis of unsolicited electronic mail.
BACKGROUND Unsolicited electronic mail (e-mail) is e-mail sent to a physician from a person unknown to the physician, who is seeking professional help. The purpose of this project was to analyze unsolicited e-mails sent to a digital textbook author to: 1) characterize the e-mails, 2) determine what resources would be necessary to answer the e-mails, and 3) propose a standard approach to reply t...
متن کاملEstimation of Industrial Production Costs, Using Regression Analysis, Neural Networks or Hybrid Neural - Regression Method?
Estimation (Forecasting) of industrial production costs is one of the most important factor affecting decisions in the highly competitive markets. Thus, accuracy of the estimation is highly desirable. Hibrid Regression Neural Network is an approach proposed in this paper to obtain better fitness in comparison with Regression Analysis and the Neural Network methods. Comparing the estimated resul...
متن کاملPrediction of monthly rainfall using artificial neural network mixture approach, Case Study: Torbat-e Heydariyeh
Rainfall is one of the most important elements of water cycle used in evaluating climate conditions of each region. Long-term forecast of rainfall for arid and semi-arid regions is very important for managing and planning of water resources. To forecast appropriately, accurate data regarding humidity, temperature, pressure, wind speed etc. is required.This article is analytical and its database...
متن کاملTuned Artificial Neural Network Model for E-mail Data Classification with Feature Selection
With the rapid development of Internet, e-mail has become effective means of communication to share information. Through e-mail, we can send text messages, images, audio and video clips across the world within a fraction of time. In recent years, e-mail users are facing problem due to spam e-mails. Spam e-mails are unsolicited commercial/bulk e-mails sent by spammers. There are many serious pro...
متن کاملPREDICTION OF NONLINEAR TIME HISTORY DEFLECTION OF SCALLOP DOMES BY NEURAL NETWORKS
This study deals with predicting nonlinear time history deflection of scallop domes subject to earthquake loading employing neural network technique. Scallop domes have alternate ridged and grooves that radiate from the centre. There are two main types of scallop domes, lattice and continuous, which the latticed type of scallop domes is considered in the present paper. Due to the large number o...
متن کامل