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Volumn , Issue , 2008, Pages

A spam discrimination based on mail header feature and SVM

Author keywords

Mail header feature; Spam filtering; SVM

Indexed keywords

COLD HEADING; INTERNET; LEARNING ALGORITHMS; LEARNING SYSTEMS; MOBILE COMPUTING; SUPPORT VECTOR MACHINES; WIRELESS NETWORKS; WIRELESS TELECOMMUNICATION SYSTEMS;

EID: 58049109480     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WiCom.2008.1139     Document Type: Conference Paper
Times cited : (16)

References (10)
  • 4
    • 73349115474 scopus 로고    scopus 로고
    • Clustering based ensemble classification for spam filtering
    • Elfe Academic Press
    • Neumayer Robert, "Clustering based ensemble classification for spam filtering", In Proceedings of the 7th Workshop on Data Analysis (WDA'06), Elfe Academic Press, 2006:11-22
    • (2006) Proceedings of the 7th Workshop on Data Analysis (WDA'06) , pp. 11-22
    • Robert, N.1
  • 5
    • 0032594950 scopus 로고    scopus 로고
    • Support vector machines for spam categorization
    • H. Druker. "Support vector machines for spam categorization". Neural Networks, 1999, 10:1048-1054.
    • (1999) Neural Networks , vol.10 , pp. 1048-1054
    • Druker, H.1
  • 6
    • 50949094782 scopus 로고    scopus 로고
    • Computer Emergency Response Team CCERT
    • Computer Emergency Response Team (CCERT), CCERT Data Sets of Chinese Emails (CDSCE), http://www.ccert.edu.cn/spam/sa/datasets.htm,2005
    • (2005) CCERT Data Sets of Chinese Emails (CDSCE)
  • 8
    • 0004141908 scopus 로고    scopus 로고
    • Fourth Edition, TingHua University PRESS
    • Andrew S.Tanenbaum, Computer Networks, Fourth Edition, ,TingHua University PRESS,2004:588-611
    • (2004) Computer Networks , pp. 588-611
    • Tanenbaum, A.S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.