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Volumn 43, Issue 2, 2007, Pages 393-405

Efficient implementation of associative classifiers for document classification

Author keywords

Associative classifier; Feature selection; Rule pruning; Subset expansion; Text classification

Indexed keywords

ASSOCIATIVE PROCESSING; CLASSIFICATION (OF INFORMATION); FEATURE EXTRACTION; PROBLEM SOLVING;

EID: 33750478328     PISSN: 03064573     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ipm.2006.07.012     Document Type: Article
Times cited : (13)

References (14)
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    • (1994) Proceedings of very large data bases , vol.12 , pp. 487-499
    • Agrawal, R.1    Srikant, R.2
  • 2
    • 0034796804 scopus 로고    scopus 로고
    • On feature distributional clustering for text categorization
    • ACM Press, New York
    • Bekkerman R., El-Yaniv R., Tishby N., and Winter Y. On feature distributional clustering for text categorization. Proceedings of SIGIR 2001 vol. 24 (2001), ACM Press, New York 146-153
    • (2001) Proceedings of SIGIR 2001 , vol.24 , pp. 146-153
    • Bekkerman, R.1    El-Yaniv, R.2    Tishby, N.3    Winter, Y.4
  • 4
    • 33750455735 scopus 로고    scopus 로고
    • Goethals, B. (2003). Frequent Pattern Mining implementation. .
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  • 7
    • 78149313084 scopus 로고    scopus 로고
    • CMAR: accurate and efficient classification based on multiple class-association rules
    • IEEE Computer Society, Washington, DC
    • Li W., Pei J., and Han J. CMAR: accurate and efficient classification based on multiple class-association rules. Proceedings of the 2001 IEEE international conference on data mining (2001), IEEE Computer Society, Washington, DC 369-376
    • (2001) Proceedings of the 2001 IEEE international conference on data mining , pp. 369-376
    • Li, W.1    Pei, J.2    Han, J.3
  • 9
    • 33750443855 scopus 로고    scopus 로고
    • McCallum, A. (1996). Bow: A toolkit for statistical language modeling, text retrieval, classification and clustering. Available from .
  • 11
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    • Machine learning in automated text categorization
    • Sebastiani F. Machine learning in automated text categorization. ACM Computing Surveys 34 1 (2002) 1-47
    • (2002) ACM Computing Surveys , vol.34 , Issue.1 , pp. 1-47
    • Sebastiani, F.1
  • 12
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    • Association rules
    • Ye N. (Ed), Lawrence Erlbaum Associates, Mahwah, NJ
    • Webb G. Association rules. In: Ye N. (Ed). The handbook of data mining (2003), Lawrence Erlbaum Associates, Mahwah, NJ 25-38
    • (2003) The handbook of data mining , pp. 25-38
    • Webb, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.