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Spam detection filter using KNN algorithm and resampling

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3 Author(s)
Firte, L. ; Tehnical Univ. of Cluj-Napoca, Cluj-Napoca, Romania ; Lemnaru, C. ; Potolea, R.

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.

Published in:

Intelligent Computer Communication and Processing (ICCP), 2010 IEEE International Conference on

Date of Conference:

26-28 Aug. 2010

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