ISSN 1842-4562
Member of DOAJ

Spam Filtering for Optimization in Internet Promotions using Bayesian Analysis

Madalina ZURINI


Bayesian spam filters, e-business, email marketing, knowledge society, metrics, Bayesian conditional probabilities


The main characteristics of an e-business and its promoting are presented. It contains ways of promoting an e-business, examined in depth the e-mail marketing principle along with advantages and disadvantages of the implementation. E-mail marketing metrics are defined for analyzing the impact on customers. A model for optimization the promoting process via email is created for reaching the threshold of profitability for electronic business. The model implements Bayesian spam filtering and applies an internal classification, using the principles of conditioned probabilities.