A novel anti-spam email approach based on LVQ

Authors:
Zhan Chuan;Lu Xianliang;Xing Qian
Affiliations:
College of Computer Science and Engineering, UESTC of China, Chengdu;College of Computer Science and Engineering, UESTC of China, Chengdu;College of Computer Science and Engineering, UESTC of China, Chengdu
Venue:
PDCAT'04 Proceedings of the 5th international conference on Parallel and Distributed Computing: applications and Technologies
Year:
2004

Citing 3
Cited 0

Introduction to Modern Information Retrieval

Introduction to Modern Information Retrieval
A Neural Network Based Approach to Automated E-Mail Classification

WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
Word association norms, mutual information, and lexicography

ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics

Quantified Score

Hi-index	0.00

Visualization

Abstract

Along with wide application of e-mail nowadays, a great deal of spam e-mails flood into email inboxes and bring catastrophe to people’s study and life. This paper presents a novel anti-spam e-mail filter based-LVQ network in terms of spam e-mails which are mainly made up of several kinds commercial or political spam emails at present. Experiments have proved that the filter based on LVQ outperforms Bayes-based and BP-based approaches in total performances apparently.