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Volumn , Issue , 2008, Pages 1044-1051

Bayesian additive regression trees-based spam detection for enhanced email privacy

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN; CLASSIFICATION AND REGRESSION TREES; CLASSIFICATION METHODS; DATA-SETS; FALSE POSITIVE RATE; INTERNATIONAL CONFERENCES; LOGISTIC REGRESSION; NAIVE BAYES; PREDICTIVE ACCURACY; RANDOM FORESTS; REGRESSION TREES; SPAM CLASSIFICATION; SPAM DETECTION;

EID: 49049086544     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ARES.2008.136     Document Type: Conference Paper
Times cited : (16)

References (14)
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    • Albert, J.H.1    Chib, S.2
  • 3
    • 49049114158 scopus 로고    scopus 로고
    • I. Androutsopoulos, J. Koutsias, K. Chandrinos, G. Paliouras, and C. Spyropoulos. An evaluation of naive bayesian anti-spam filtering. In In Proc. of the workshop on Machine Learning in the New Information Age, 2000.
    • I. Androutsopoulos, J. Koutsias, K. Chandrinos, G. Paliouras, and C. Spyropoulos. An evaluation of naive bayesian anti-spam filtering. In In Proc. of the workshop on Machine Learning in the New Information Age, 2000.
  • 4
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • October
    • L. Breiman. Random forests. Machine Learning, 45(1):5-32, October 2001.
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 7
    • 49049105358 scopus 로고    scopus 로고
    • H. A. Chipman, E. I. George, and R. E. McCulloch. BART: Bayesian Additive Regression Trees. http://faculty.chicagogsb.edu/robert.mcculloch/research/code/ BART-7-05.pdf, 2006.
    • H. A. Chipman, E. I. George, and R. E. McCulloch. BART: Bayesian Additive Regression Trees. http://faculty.chicagogsb.edu/robert.mcculloch/research/code/ BART-7-05.pdf, 2006.
  • 9
    • 0003684449 scopus 로고    scopus 로고
    • The Elements of Statistical Learning Data Mining, Inference, and Prediction
    • Springer
    • T. Hastie, R. Tibshirani, and J. Friedman. The Elements of Statistical Learning Data Mining, Inference, and Prediction. Springer Series in Statistics. Springer, 2001.
    • (2001) Springer Series in Statistics
    • Hastie, T.1    Tibshirani, R.2    Friedman, J.3
  • 11
    • 49049104872 scopus 로고    scopus 로고
    • M. Sahami, S. Dumais, D. Heckerman, and E. Horvitz. A bayesian approach to filtering junk E-mail. In Learning for Text Categorization: Papers from the 1998 Workshop, Madison, Wisconsin, 1998. AAAI Technical Report WS-98-05.
    • M. Sahami, S. Dumais, D. Heckerman, and E. Horvitz. A bayesian approach to filtering junk E-mail. In Learning for Text Categorization: Papers from the 1998 Workshop, Madison, Wisconsin, 1998. AAAI Technical Report WS-98-05.
  • 13
    • 49049114357 scopus 로고    scopus 로고
    • Spambase. ftp://ftp.ics.uci.edu/pub/machine-learning-databases/spambase/, 1999
    • Spambase. ftp://ftp.ics.uci.edu/pub/machine-learning-databases/spambase/, 1999.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.