Browse > Article
http://dx.doi.org/10.5391/JKIIS.2007.17.2.160

Constructing User Preferred Anti-Spam Ontology using Data Mining Technique  

Kim, Jong-Wan (대구대학교 컴퓨터.IT공학부)
Kim, Hee-Jae (대구대학교 컴퓨터.IT공학부)
Kang, Sin-Jae (대구대학교 컴퓨터.IT공학부)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.17, no.2, 2007 , pp. 160-166 More about this Journal
Abstract
When a mail was given to users, each user's response could be different according to his or her preference. This paper presents a solution for this situation by constructing a user preferred ontology for anti-spam systems. To define an ontology for describing user behaviors, we applied associative classification mining to study preference information of users and their responses to emails. Generated classification rules can be represented in a formal ontology language. A user preferred ontology can explain why mail is decided to be spam or ron-spam in a meaningful way. We also suggest a new rule optimization procedure inspired from logic synthesis to improve comprehensibility and exclude redundant rules.
Keywords
data mining; anti-spam system; user preferred ontology; logic synthesis; rule pruning;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Wolfe, P., Scott, C., and Erwin, M., Anti-Spam Tool Kit, McGraw Hill, 2004
2 Files, C. M. and Perkowski, M. A., 'Multi-Valued Functional Decomposition as a Machine Learning Method,' in Proc. of ISMVL, pp. 173-178, 1998
3 강신재, 김종완, '텍스트정보와 하이퍼링크에 기반한 지능형 스팸 메일 필터링', 한국 퍼지 및 지능시스템학회 논문지, 제14권 제7호, pp.895-901, 2004
4 Witten, I. H. and Frank, E., Data Mining: practical machine learning tools and techniques, 2nd ed, Morgan Kaufmann, 2005
5 Dou, D' McDermott, V., and Qi, P., 'Ontology translation on the semantic web,' Journal of Data Semantics, Vol. 2, pp. 35-57, 2004
6 Anti-Spam Firewall, http://www.barracuda- networ- ks.com/ns/products/ anti_spam_tech.php
7 Gray, A. and Haahr, M, 'Personalized Collaborative Spam Filtering,' in Proc. of the First Conference on Email and Anti-Spam, 2004
8 Cormack, G. V., Overview of the TREC 2005 Spam Track, http://plg.uwaterloo.ca/~gvcormac/ trecspam-track05
9 McDermott, D. and Dou D., 'Representing disjunction and quantifiers in RDF,' in Proc. Int'l Semantic Web Conference, pp. 250-263, 2002
10 Kang, S., Semi-Automatic Construction of Practical Ontology and its Application for Word Sense Disambiguation, POSTECH, PhD. Thesis, 2002
11 Ravi,J., Shi, W., and Xu, C., 'Personalized Email Management at Network Edges,' IEEE Internet Computing, Vol. 9, No .2, pp, 54-60, 2005   DOI   ScienceOn
12 Maedche, A., 'Ontology Learning for the Semantic Web,' The Kluwer International Series. in Engineering and Computer Science, Vol .665, 2003
13 http://en.wikipedia.org/wiki/Karnaugh_map
14 Chan, A. and Freitas, A., 'A New Classification Rule Pruning Procedure for an Ant Colony Algorithm,' LNCS 3871, pp. 25-36, 2005