Title :
Spam detection filter using KNN algorithm and resampling
Author :
Firte, Loredana ; Lemnaru, Camelia ; Potolea, Rodica
Author_Institution :
Tehnical Univ. of Cluj-Napoca, Cluj-Napoca, Romania
Abstract :
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.
Keywords :
e-mail filters; learning (artificial intelligence); pattern classification; sampling methods; unsolicited e-mail; KNN algorithm; email classification; k-nearest neighbor algorithm; learning process; spam detection filter; Classification algorithms; Data mining; Feature extraction; Information filters; Unsolicited electronic mail; filter; kNN; resample; spam;
Conference_Titel :
Intelligent Computer Communication and Processing (ICCP), 2010 IEEE International Conference on
Conference_Location :
Cluj-Napoca
Print_ISBN :
978-1-4244-8228-3
Electronic_ISBN :
978-1-4244-8230-6
DOI :
10.1109/ICCP.2010.5606466
