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Volumn 38, Issue 4, 2002, Pages 501-515

A theoretical framework for Data Mining: The "Informational Paradigm"

Author keywords

Association rules; Classification; Data Mining; Information paradigm; Statistical paradigms

Indexed keywords

DATABASE SYSTEMS; DESIGN; STATISTICAL METHODS;

EID: 0037186685     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-9473(01)00075-5     Document Type: Article
Times cited : (28)

References (16)
  • 8
    • 2042480251 scopus 로고
    • Contributions to the study of statistical techniques for controlling the effects of noise factors in demographical analysis
    • Technical Report, Department of Demographical Sciences, University of Rome La Sapienza (in Italian)
    • (1989) First Fertility Survey in Italy , vol.8
    • Coppi, R.1    Racioppi, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.