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Volumn , Issue , 1998, Pages 73-79

Data Mining for Direct Marketing: Problems and Solutions

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMMERCE; INSURANCE; LEARNING SYSTEMS; MARKETING;

EID: 85161651554     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (578)

References (20)
  • 2
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Breiman, L. (1996). Bagging predictors. Machine Learning, 24(2), 123-140.
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 5
    • 0003642109 scopus 로고    scopus 로고
    • Tech. rep. CS97-557, Department of Computer Science and Engineering, University of California
    • Elkan, C. (1997). Boosting and naive Bayesian learning. Tech. rep. CS97-557, Department of Computer Science and Engineering, University of California.
    • (1997) Boosting and naive Bayesian learning
    • Elkan, C.1
  • 9
    • 0020083498 scopus 로고
    • The meaning and use of the area under a receiver operating characteristic (ROC) curve
    • Hanley, J., & McNeil, B. (1982). The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology, 143, 29-36.
    • (1982) Radiology , vol.143 , pp. 29-36
    • Hanley, J.1    McNeil, B.2
  • 19
    • 0029718295 scopus 로고    scopus 로고
    • A large-scale evaluation of features for automatic detection of oil spills in ERS SAR images
    • Solberg, A. H. S., & Solberg, R. (1996). A large-scale evaluation of features for automatic detection of oil spills in ERS SAR images. In IEEE Symp. Geosc. Rem. Sens (IGARSS), pp. 1484-1486.
    • (1996) IEEE Symp. Geosc. Rem. Sens (IGARSS) , pp. 1484-1486
    • Solberg, A. H. S.1    Solberg, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.