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Volumn 2005, Issue , 2005, Pages 211-216

Empirical case studies in attribute noise detection

Author keywords

Attribute noise; Data cleaning; Noise detection; Software measurements

Indexed keywords

ATTRIBUTE NOISE; DATA CLEANING; NOISE DETECTION; SOFTWARE MEASUREMENTS;

EID: 33745711561     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IRI-05.2005.1506475     Document Type: Conference Paper
Times cited : (11)

References (14)
  • 4
  • 6
    • 7044254621 scopus 로고    scopus 로고
    • Detecting outliers using rule-based modeling for improving CBR-based software quality classification models
    • K. D. Ashley and D. G. Bridge, editors, Springer-Verlag LNAI
    • T. M. Khoshgoftaar, L. A. Bullard, and K. Gao. Detecting outliers using rule-based modeling for improving CBR-based software quality classification models. In K. D. Ashley and D. G. Bridge, editors, Proceedings of the 16th International Conference on Case-Based Reasoning, volume 1689, pages 216-230. Springer-Verlag LNAI, 2003.
    • (2003) Proceedings of the 16th International Conference on Case-Based Reasoning , vol.1689 , pp. 216-230
    • Khoshgoftaar, T.M.1    Bullard, L.A.2    Gao, K.3
  • 7
    • 14844337488 scopus 로고    scopus 로고
    • The necessity of assuring quality in software measurement data
    • Chicago, IL, September IEEE Computer Society
    • T. M. Khoshgoftaar and N. Seliya. The necessity of assuring quality in software measurement data. In Proceedings of 10th International Software Metrics Symposium, pages 119-130, Chicago, IL, September 2004. IEEE Computer Society.
    • (2004) Proceedings of 10th International Software Metrics Symposium , pp. 119-130
    • Khoshgoftaar, T.M.1    Seliya, N.2
  • 8
    • 33745715393 scopus 로고    scopus 로고
    • Identifying noisy features with the pairwise attribute noise detection algorithm
    • Florida Atlantic University, Boca Raton, FL, December
    • T. M. Khoshgoftaar and J. Van Hulse. Identifying noisy features with the pairwise attribute noise detection algorithm. Technical report, Florida Atlantic University, Boca Raton, FL, December 2004.
    • (2004) Technical Report
    • Khoshgoftaar, T.M.1    Van Hulse, J.2
  • 11
    • 0004282518 scopus 로고
    • SAS Institute Inc.
    • SAS Institute. SAS/STAT User's Guide. SAS Institute Inc., 1992.
    • (1992) SAS/STAT User's Guide
  • 14
    • 2142824230 scopus 로고    scopus 로고
    • Analyzing software measurement data with clustering techniques
    • March
    • S. Zhong, T. M. Khoshgoftaar, and N. Seliya. Analyzing software measurement data with clustering techniques. IEEE Intelligent Systems, pages 22-27, March 2004.
    • (2004) IEEE Intelligent Systems , pp. 22-27
    • Zhong, S.1    Khoshgoftaar, T.M.2    Seliya, N.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.