메뉴 건너뛰기




Volumn 7, Issue 4, 2006, Pages 387-398

Generating behavior-based classification rules for spam filtering using enhanced induction trees

Author keywords

Decision Trees; Induction; Rule based Classification; Spam Mail

Indexed keywords

DECISION TREES; INDUCTION; RULE-BASED CLASSIFICATION; SPAM MAIL;

EID: 33749820166     PISSN: 16079264     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (2)

References (39)
  • 2
    • 0142016103 scopus 로고    scopus 로고
    • Challenges of the email domain for text classification
    • Stanford University, Standord, CA, US, June 29 - July 2
    • Jake D. Brutlag and Christopher Meek. Challenges of the email domain for text classification. In Proceedings of the 17th International Conference on Machine Learning, Stanford University, Standord, CA, US, June 29 - July 2 2000, pp. 103-110.
    • (2000) Proceedings of the 17th International Conference on Machine Learning , pp. 103-110
    • Brutlag, J.D.1    Meek, C.2
  • 4
    • 33749820837 scopus 로고    scopus 로고
    • Center for Democracy & Technology
    • CDT.org. Spam 2005: Technology, law and policy, 2005. Center for Democracy & Technology, http://www.cdt.org/
    • (2005) Spam 2005: Technology, Law and Policy
  • 8
    • 0003426612 scopus 로고    scopus 로고
    • O'Reilly & Associates, Inc., Sebastopol, CA 95472
    • Bryan Costales and Eric Allman. sendmail, 3rd Edition. O'Reilly & Associates, Inc., Sebastopol, CA 95472, 2002.
    • (2002) Sendmail, 3rd Edition
    • Costales, B.1    Allman, E.2
  • 11
    • 0042367634 scopus 로고    scopus 로고
    • Mining e-mail content for author identification forensics
    • Olivier de Vel, A. Anderson, M. Corney, and G. Mohay. Mining e-mail content for author identification forensics. SIGMOD Rec., 30(4):55-64, 2001.
    • (2001) SIGMOD Rec. , vol.30 , Issue.4 , pp. 55-64
    • De Vel, O.1    Anderson, A.2    Corney, M.3    Mohay, G.4
  • 13
    • 0032594950 scopus 로고    scopus 로고
    • Support vector machines for spam categorization
    • September
    • H. Druker, Donghui Wu, and V.N. Vapnik. Support vector machines for spam categorization. IEEE Transactions on Neural Networks, 10(5):1048-1054, September 1999.
    • (1999) IEEE Transactions on Neural Networks , vol.10 , Issue.5 , pp. 1048-1054
    • Druker, H.1    Wu, D.2    Vapnik, V.N.3
  • 19
    • 84957069814 scopus 로고    scopus 로고
    • Text categorization with support vector machines: Learning with many relevant features
    • Chemnitz, DE, Springer Verlag, Heidelberg, DE
    • Thorsten Joachims. Text categorization with support vector machines: Learning with many relevant features. In Proceedings of the 10th European Conference on Machine Learning, Chemnitz, DE, 1998. Springer Verlag, Heidelberg, DE, pp. 137-142.
    • (1998) Proceedings of the 10th European Conference on Machine Learning , pp. 137-142
    • Joachims, T.1
  • 20
    • 8344254744 scopus 로고    scopus 로고
    • Filtering junk e-mail: A performance comparison between genetic programming &Naïve Bayes
    • University of Waterloo, September 10
    • Hooman Katirai. Filtering junk e-mail: A performance comparison between genetic programming &Naïve Bayes. Technical report, University of Waterloo, September 10 1999.
    • (1999) Technical Report
    • Katirai, H.1
  • 22
    • 33749872918 scopus 로고    scopus 로고
    • SM), 2003. http://www.mail-abuse.com/spamdef.html.
    • (2003) SM)
  • 28
    • 8344223268 scopus 로고    scopus 로고
    • Naïve-Bayes vs. rule-learning in classification of email
    • The University of Texes at Austin, Artificial Intelligence Lab
    • Jefferson Provost. Naïve-Bayes vs. rule-learning in classification of email. Technical Report AI-TR-99-284, The University of Texes at Austin, Artificial Intelligence Lab, 1999.
    • (1999) Technical Report , vol.AI-TR-99-284
    • Provost, J.1
  • 29
    • 33744584654 scopus 로고
    • Induction of decision trees
    • J.R. Quinlan. Induction of decision trees. Machine Learning, 1(1):81-106, 1986.
    • (1986) Machine Learning , vol.1 , Issue.1 , pp. 81-106
    • Quinlan, J.R.1
  • 33
    • 0033905095 scopus 로고    scopus 로고
    • Boostexter: A boosting-based system for text categorization
    • May/June
    • Robert E. Schapire and Yoram Singer. Boostexter: A boosting-based system for text categorization. Machine Learning, 39(2/3):135-168, May/June 2000.
    • (2000) Machine Learning , vol.39 , Issue.2-3 , pp. 135-168
    • Schapire, R.E.1    Singer, Y.2
  • 35
    • 33749844126 scopus 로고    scopus 로고
    • Spamarchive project
    • SpamArchive.org. Spamarchive project, 2006. http://spamarchive.org/.
    • (2006)
  • 36
    • 3042844664 scopus 로고    scopus 로고
    • Giving e-mail back to the users: Using digital signatures to solve the spam problem
    • September
    • T. Tompkins and D. Handley. Giving e-mail back to the users: Using digital signatures to solve the spam problem. First Monday, 8(9), September 2003.
    • (2003) First Monday , vol.8 , Issue.9
    • Tompkins, T.1    Handley, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.