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Volumn 41, Issue 9, 1999, Pages 579-587

Evaluating data mining procedures: Techniques for generating artificial data sets

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; DATA REDUCTION; DATA STRUCTURES; FRACTALS;

EID: 0032665796     PISSN: 09505849     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0950-5849(99)00021-X     Document Type: Article
Times cited : (34)

References (12)
  • 8
    • 0344690855 scopus 로고    scopus 로고
    • SNOUT: an intelligent assistant for exploratory data analysis. Principles of data mining and knowledge discovery
    • Trondheim, Springer, Berlin
    • P.D. Scott, A.P.M. Coxon, M.H. Hobbs, R.J. Williams, SNOUT: an intelligent assistant for exploratory data analysis. Principles of data mining and knowledge discovery, in: Proceedings of PKDD'97, Trondheim, Springer, Berlin, 1997.
    • (1997) In: Proceedings of PKDD'97
    • Scott, P.D.1    Coxon, A.P.M.2    Hobbs, M.H.3    Williams, R.J.4
  • 12
    • 0030125436 scopus 로고    scopus 로고
    • Noise modelling and evaluating learning from examples
    • Hickey R.J. Noise modelling and evaluating learning from examples. Artificial Intelligence Research. 82:1996;157-179.
    • (1996) Artificial Intelligence Research , vol.82 , pp. 157-179
    • Hickey, R.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.