메뉴 건너뛰기




Volumn 5, Issue 4, 2010, Pages

Spamcooling: A parallel heterogeneous ensemble spam filtering system based on active learning techniques

Author keywords

Active learning; Ensemble learning; Spam filtering

Indexed keywords

ACTIVE LEARNING; ANTI-SPAM; BATCH METHODS; DIVERSE FIELDS; EMERGING APPLICATIONS; ENSEMBLE LEARNING; ENSEMBLE METHODS; HELP SYSTEMS; MACHINE-LEARNING; MISCLASSIFICATION RATES; PROTECTION SYSTEMS; SPAM DETECTION; SPAM FILTERING; USER FEEDBACK;

EID: 78651530574     PISSN: 19759320     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (6)

References (26)
  • 7
    • 35348980178 scopus 로고    scopus 로고
    • An effective multi-layered defense framework against spam
    • Zhou, W.-Y. Chin, R. Roman, and J. Lopez, An effective multi-layered defense framework against spam, Inf. Secur. Tech. Rep., vol. 12, no. 3, 2007, pp. 179-185.
    • (2007) Inf. Secur. Tech. Rep , vol.12 , Issue.3 , pp. 179-185
    • Zhou, J.1    Chin, W.-Y.2    Roman, R.3    Lopez, J.4
  • 10
    • 67349246464 scopus 로고    scopus 로고
    • Review: A review of machine learning approaches to spam filtering
    • T. S. Guzella and W. M. Caminhas, Review: A review of machine learning approaches to spam filtering, Expert Systems with Applications, vol. 36, no. 7, 2009, pp. 10206-10222.
    • (2009) Expert Systems With Applications , vol.36 , Issue.7 , pp. 10206-10222
    • Guzella, T.S.1    Caminhas, W.M.2
  • 12
    • 70350346030 scopus 로고    scopus 로고
    • Ensemble learning
    • S. Z. Li ed., Berlin: Springer
    • Z.-H. Zhou, Ensemble learning, in S. Z. Li ed. Encyclopedia of Biometrics. Berlin: Springer, 2009.
    • (2009) Encyclopedia of Biometrics
    • Zhou, Z.-H.1
  • 13
    • 0036567392 scopus 로고    scopus 로고
    • Ensembling neural networks: Many could be better than all
    • Z.-H. Zhou, J. Wu, and W. Tang, Ensembling neural networks: many could be better than all, Artificial Intelligence, vol. 137, no. 1-2, 2002, pp. 239-263.
    • (2002) Artificial Intelligence , vol.137 , Issue.1-2 , pp. 239-263
    • Zhou, Z.-H.1    Wu, J.2    Tang, W.3
  • 14
    • 42749083487 scopus 로고    scopus 로고
    • A comparative study for content based dynamic spam classification using four machine learning algorithms
    • B. Yu and Z. B. Xu, A comparative study for content based dynamic spam classification using four machine learning algorithms, Knowledge-Based Systems, vol. 21, no. 4, 2008, pp. 355-362.
    • (2008) Knowledge-Based Systems , vol.21 , Issue.4 , pp. 355-362
    • Yu, B.1    Xu, Z.B.2
  • 18
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • J. C. Platt, Fast training of support vector machines using sequential minimal optimization, Advances in kernel methods: support vector learning, 2008, pp. 185-208.
    • (2008) Advances In Kernel Methods: Support Vector Learning , pp. 185-208
    • Platt, J.C.1
  • 19
    • 33749564255 scopus 로고    scopus 로고
    • Spam filtering using compression models
    • Jo'zef Stefan Institute, Ljubljana, Slovenia, Tech. Rep. IJS-DP- 9227
    • A. Bratko and B. Filipǐc, Spam filtering using compression models, Department of Intelligent Systems, Jo'zef Stefan Institute, Ljubljana, Slovenia, Tech. Rep. IJS-DP- 9227, 2005.
    • (2005) Department of Intelligent Systems
    • Bratko, A.1    Filipǐc, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.