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Volumn , Issue , 2004, Pages 369-375

Generating multiple noise elimination filters with the ensemble- partitioning filter

Author keywords

Classification filter; Data noise; Ensemble filter; Partitioning filter; Quality of data; Software measurement; Softwarwe faults

Indexed keywords

COMPUTER SOFTWARE; DATA MINING; DATA REDUCTION; LEARNING SYSTEMS; PROBLEM SOLVING; SPURIOUS SIGNAL NOISE;

EID: 16244415234     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (38)

References (16)
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  • 5
    • 84949225207 scopus 로고    scopus 로고
    • Noise elimination in inductive concept learning: A case study in medical diagnosis
    • Sydney, Australia, October Springer-Verlag
    • th International Workshop volume 1160, pages 199-212, Sydney, Australia, October 1996. Springer-Verlag.
    • (1996) th International Workshop , vol.1160 , pp. 199-212
    • Gamberger, D.1    Lavrač, N.2    Džeroski, S.3
  • 6
    • 0027580356 scopus 로고
    • Very simple classification rules perform well on most commonly used datasets
    • R. C. Holte. Very simple classification rules perform well on most commonly used datasets. Machine Learning, 11:63-91, 1993.
    • (1993) Machine Learning , vol.11 , pp. 63-91
    • Holte, R.C.1
  • 8
    • 0141924286 scopus 로고    scopus 로고
    • Analogy-based practical classification rules for software quality estimation
    • December
    • T. M. Khoshgoftaar and N. Seliya. Analogy-based practical classification rules for software quality estimation. Empirical Software Engineering Journal, 8(4):325-350, December 2003.
    • (2003) Empirical Software Engineering Journal , vol.8 , Issue.4 , pp. 325-350
    • Khoshgoftaar, T.M.1    Seliya, N.2
  • 11
    • 0022544742 scopus 로고
    • Data quality and the due process in large interorganizational record systems
    • K. C. Laudon. Data quality and the due process in large interorganizational record systems. Communications of the ACM, 29(1):4-11, 1986.
    • (1986) Communications of the ACM , vol.29 , Issue.1 , pp. 4-11
    • Laudon, K.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.