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Volumn 34, Issue 1, 2008, Pages 411-418

Extracting classification rule of software diagnosis using modified MEPA

Author keywords

C4.5; Data discretization; Minimize entropy; Software diagnosis

Indexed keywords

COMPUTER SOFTWARE; COMPUTER SYSTEM RECOVERY; CUSTOMER SATISFACTION; DATA MINING; RANDOM ERRORS; SIGNAL FILTERING AND PREDICTION;

EID: 34248548646     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2006.09.042     Document Type: Article
Times cited : (20)

References (17)
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    • Detecting noisy instances with the rule-based classification model
    • Khoshgoftaar T.M., Seliya N., and Gao K. Detecting noisy instances with the rule-based classification model. Intelligent Data Analysis 9 4 (2005) 347-364
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    • Khoshgoftaar, T.M.1    Seliya, N.2    Gao, K.3
  • 10
    • 0036127265 scopus 로고    scopus 로고
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    • Mitra, S.1    Pal, S.K.2    Mitra, P.S.3
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    • Shirabad, J.S., & Menzies, T.J. (2005). The PROMISE Repository of Software Engineering Databases School of Information Technology and Engineering, University of Ottawa, Canada. Retrieved 2005, from http://promise.site.uottawa.ca/SERepository.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.