Spam detection filter using KNN algorithm and resampling
Loredana Firte, Camelia Lemnaru, Rodica Potolea · 2010
Spamming has become a time consuming and expensive problem for which several new directions have been investigated lately. This paper presents a new approach for a spam detection filter. The solution developed is an offline application that uses the k-Nearest Neighbor (kNN) algorithm and a pre-classified email data set for the learning process.