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Volumn 2, Issue 3, 2007, Pages 43-55

Spam email classification using an adaptive ontology

Author keywords

Data mining; Feature extraction; Ontology; Spam filter; Text classification

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA MINING; ELECTRONIC MAIL; FEATURE EXTRACTION; FILTRATION; INFORMATION FILTERING; ONTOLOGY; SEMANTICS; TEXT PROCESSING;

EID: 72949106170     PISSN: 1796217X     EISSN: None     Source Type: Journal    
DOI: 10.4304/jsw.2.3.43-55     Document Type: Article
Times cited : (27)

References (69)
  • 1
    • 84871627933 scopus 로고    scopus 로고
    • Data Mining Techniques and Applications In Medicine Tutorial
    • Adibi, J., and Shen, W. Data Mining Techniques and Applications in Medicine Tutorial, 1999.
    • (1999)
    • Adibi, J.1    Shen, W.2
  • 14
    • 84871632332 scopus 로고    scopus 로고
    • Proceedings of the AAAI Spring Symposium on Machine Learning in Information Access, Palo Alto, CA
    • Cohen, W. Learning rules that classify e-mail. Proceedings of the AAAI Spring Symposium on Machine Learning in Information Access, Palo Alto, CA, 1996.
    • (1996) Learning Rules That Classify E-mail
    • Cohen, W.1
  • 41
    • 77950569180 scopus 로고    scopus 로고
    • Machine Learning Lab, University of California at Irvine
    • Machine Learning Lab. in Information and Computer Science, University of California at Irvine. http://www.ics.uci.edu/ mlearn/MLSummary.html
    • Information and Computer Science
  • 42
    • 0035267985 scopus 로고    scopus 로고
    • Ontology learning for the semantic web
    • Maedche, A., and Staab, S. Ontology learning for the semantic web. IEEE Intelligent Systems 16(2): 72-79, 2001.
    • (2001) IEEE Intelligent Systems , vol.16 , Issue.2 , pp. 72-79
    • Maedche, A.1    Staab, S.2
  • 48
    • 0141614058 scopus 로고    scopus 로고
    • Ontology learnig and its application to automated terminology translation
    • Navigli, R., Velardi, P., and Gangemi, A. Ontology learnig and its application to automated terminology translation. IEEE Intelligent Systems 18(1): 22-31, 2003.
    • (2003) IEEE Intelligent Systems , vol.18 , Issue.1 , pp. 22-31
    • Navigli, R.1    Velardi, P.2    Gangemi, A.3
  • 56
    • 23844447222 scopus 로고    scopus 로고
    • Domain ontologies for data sharing: An example from environmental monitoring using field GIS
    • Pundt, H., and Bishr, Y. Domain ontologies for data sharing: An example from environmental monitoring using field GIS. Computer & Geosciences, 28, 98-102, 1999
    • (1999) Computer & Geosciences , vol.28 , pp. 98-102
    • Pundt, H.1    Bishr, Y.2
  • 64
    • 0032683897 scopus 로고    scopus 로고
    • Verifying ontological commitment in knowledge-based systems
    • Waterson, A., and Preece, A. Verifying ontological commitment in knowledge-based systems. Knowledge-Based Systems. 12(1-2): 45-54, 1999.
    • (1999) Knowledge-Based Systems , vol.12 , Issue.1-2 , pp. 45-54
    • Waterson, A.1    Preece, A.2
  • 65
    • 84871638913 scopus 로고    scopus 로고
    • Intelligent Email Categorization Based on Textual Information and Metadata
    • JANUARY
    • Yang, J., Chalasani, V., and Park, S. Intelligent Email Categorization Based on Textual Information and Metadata. IEICE TRANS. INF. & SYST., VOL. E82, NO.1 JANUARY 1999
    • (1999) IEICE TRANS. INF. & SYST , vol.E82 , Issue.1
    • Yang, J.1    Chalasani, V.2    Park, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.