Email Filtering Based On Swarm Intelligence via Machine Learning

The textbook "Email Filtering Based on Swarm Intelligence via Machine Learning" provides a comprehensive analysis of the challenges and solutions in the field of spam filtering. Given the ever-increasing flood of spam emails, the development of effective filtering methods is crucial. This book highlights the application of machine learning algorithms to improve spam filtering and addresses the issues arising from the high dimensionality of the feature space. By implementing Taguchi methods for feature selection, a two-stage approach is presented that aims to reduce the number of features while optimizing classification results. The authors, Mohd. Nazri Ismail and Noormadinah Allias, offer valuable insights into the techniques and IT that are of interest to researchers and practitioners in this field.