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Volumn 23, Issue 2, 2012, Pages 265-275

LAD-CBM; New data processing tool for diagnosis and prognosis in condition-based maintenance

Author keywords

Boolean functions; Condition based maintenance (CBM); Decision making; Logical analysis of data (LAD); Missing data

Indexed keywords

ANALYSIS AND MODELING; BOOLEAN THEORY; CLASSIFICATION TECHNIQUE; CONDITION-BASED MAINTENANCE; DATA MINING TECHNIQUES; LOGICAL ANALYSIS OF DATA; MISSING DATA; NUMERICAL EXAMPLE; PRE-PROCESSING;

EID: 84862181419     PISSN: 09565515     EISSN: 15728145     Source Type: Journal    
DOI: 10.1007/s10845-009-0349-8     Document Type: Article
Times cited : (39)

References (26)
  • 1
    • 0038485465 scopus 로고    scopus 로고
    • Sage University papers series on quantitative applications in the social sciences, 07-136. Sage, Thousand Oaks CA
    • Allison, P. D. (2001). Missing data (Quantitative applications in the social sciences). Sage University papers series on quantitative applications in the social sciences, 07-136. Sage, Thousand Oaks CA, pp. 51-54.
    • (2001) Missing Data (Quantitative Applications in the Social Sciences) , pp. 51-54
    • Allison, P.D.1
  • 6
    • 84862203355 scopus 로고    scopus 로고
    • Boolean analysis of incomplete examples
    • Algorithm Theory - SWAT '96
    • Boros, E., Ibaraki, T., & Makino, K. (1996c). Boolean analysis of incomplete examples. In R. Karlsson & A. Lingas (Eds.), Algorithm theory - SWAT'96 (pp. 440-451). Springer Lecture Notes in Computer Science 1097. (Pubitemid 126091949)
    • (1996) Lecture Notes in Computer Science , Issue.1097 , pp. 440-451
    • Boros, E.1    Ibaraki, T.2    Makino, K.3
  • 7
    • 0041611508 scopus 로고    scopus 로고
    • Nearest neighbor imputation for survey data
    • Chen, J., & Shao, J. (2000). Nearest neighbor imputation for survey data. Journal of Official Statistics, 16(2), 113-132.
    • (2000) Journal of Official Statistics , vol.16 , Issue.2 , pp. 113-132
    • Chen, J.1    Shao, J.2
  • 8
    • 0037411806 scopus 로고    scopus 로고
    • Exploring process data with the use of robust outlier detection algorithms
    • Chiang, L. H., Pell, R. J., & Seasholtz, M. B. (2003). Exploring process data with the use of robust outlier detection algorithms. Journal of Process Control, 13(5), 437-449.
    • (2003) Journal of Process Control , vol.13 , Issue.5 , pp. 437-449
    • Chiang, L.H.1    Pell, R.J.2    Seasholtz, M.B.3
  • 9
    • 0142011017 scopus 로고    scopus 로고
    • Imputation of missing longitudinal data: A comparison of methods
    • DOI 10.1016/S0895-4356(03)00170-7
    • Engels, J. M., & Diehr, P. (2003). Imputation of missing longitudinal data: A comparison of methods. Journal of Clinical Epidemiology, 56(10), 968-976. (Pubitemid 37268084)
    • (2003) Journal of Clinical Epidemiology , vol.56 , Issue.10 , pp. 968-976
    • Engels, J.M.1    Diehr, P.2
  • 10
    • 84946031884 scopus 로고
    • Procedures for detecting outlying observations in samples. U.S. Army aberdeen research and development center
    • Grubbs, F. E. (1969). Procedures for detecting outlying observations in samples. U.S. Army Aberdeen Research and Development Center. Technometrics, 11(1), 1-21.
    • (1969) Technometrics , vol.11 , Issue.1 , pp. 1-21
    • Grubbs, F.E.1
  • 11
    • 4444353068 scopus 로고    scopus 로고
    • A comparison of serveral approaches to missing attribute values in data mining
    • W. Ziarko & Y. Yao (Eds.) LNAI 2005 Berlin, Heidelberg: Springer-Verlag
    • Grzymala-Busse, J. W., & Hu, M. (2001). A comparison of serveral approaches to missing attribute values in data mining. In W. Ziarko & Y. Yao (Eds.), RSCTC 2000, LNAI 2005 pp. 378-385. Berlin, Heidelberg: Springer-Verlag.
    • (2001) RSCTC 2000 , pp. 378-385
    • Grzymala-Busse, J.W.1    Hu, M.2
  • 14
    • 0033225727 scopus 로고    scopus 로고
    • Imputation of missing data in industrial databases
    • DOI 10.1023/A:1008334909089
    • Lakshminarayan, K., Harp, S. A., & Samad, T. (1999). Imputation of missing data in industrial databases. Applied Intelligence, 11, 259-275. (Pubitemid 30517149)
    • (1999) Applied Intelligence , vol.11 , Issue.3 , pp. 259-275
    • Lakshminarayan, K.1    Harp, S.A.2    Samad, T.3
  • 16
    • 0037031258 scopus 로고    scopus 로고
    • Use of the logical analysis of data method for assessing long-term mortality risk after exercise electrocardiography
    • DOI 10.1161/01.CIR.0000024410.15081.FD
    • Lauer, M. S., Alexe, S., Snader, C. E. P., Blackstone, E. H., Ishwaran, H., & Hammer, P. L. (2002). Use of the "logical analysis of data" method for assessing long-term mortality risk after exercise electrocardiography. Circulation, 106, 685-690. (Pubitemid 34851927)
    • (2002) Circulation , vol.106 , Issue.6 , pp. 685-690
    • Lauer, M.S.1    Alexe, S.2    Pothier Snader, C.E.3    Blackstone, E.H.4    Ishwaran, H.5    Hammer, P.L.6
  • 21
    • 85047673373 scopus 로고    scopus 로고
    • Missing data: Our view of the state of the art
    • Schafer, J. L., & Graham, J. W. (2002). Missing data: Our view of the state of the art. Psychol Methods, 7(2), 147-177.
    • (2002) Psychol Methods , vol.7 , Issue.2 , pp. 147-177
    • Schafer, J.L.1    Graham, J.W.2
  • 24
    • 78651465092 scopus 로고    scopus 로고
    • Quality data an improbable dream. A process for reviewing and improving data quality makes for reliable and usable results
    • Centre for Education Information
    • Vannan, E. (2001). Quality data an improbable dream. A process for reviewing and improving data quality makes for reliable and usable results. EDUCAUSE QUARTERLY, CUMREC Conferences, Centre for Education Information.
    • (2001) EDUCAUSE QUARTERLY, CUMREC Conferences
    • Vannan, E.1
  • 25
    • 77955230230 scopus 로고    scopus 로고
    • Parimputation: From imputation and null-imputation to partially imputation
    • Zhang, S. (2008). Parimputation: From imputation and null-imputation to partially imputation. IEEE Intelligent Informatics Bulletin, 9(1), 32-38.
    • (2008) IEEE Intelligent Informatics Bulletin , vol.9 , Issue.1 , pp. 32-38
    • Zhang, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.