메뉴 건너뛰기




Volumn 5, Issue , 2008, Pages 24-29

Using principal component analysis and autoassociative Neural Networks to estimate missing data in a database

Author keywords

Auto associative Neural Network; Autoencoder Neural Networks; Missing data; Principal Component Analysis and Genetic Algorithm

Indexed keywords

AUTOASSOCIATIVE NEURAL NETWORKS; AUTOENCODERS; ERROR FUNCTION; HIDDEN NODES; MISSING DATA;

EID: 70349110621     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (29)
  • 2
    • 0034339545 scopus 로고    scopus 로고
    • Multiple imputation for missing data: A cautionary tale
    • P. Allison, "Multiple imputation for missing data: A cautionary tale," In Sociological Methods and Research, vol. 28, pp. 301-309, 2000.
    • (2000) Sociological Methods and Research , vol.28 , pp. 301-309
    • Allison, P.1
  • 5
    • 33749072448 scopus 로고    scopus 로고
    • The use of genetic algorithms and neural networks to approximate missing data in database
    • DOI 10.1109/ICCCYB.2005.1511574, 1511574, ICCC 2005 - IEEE 3rd International Conference on Computational Cybernetics - Proceedings
    • M. Abdella and T. Marwala, "The use of genetic algorithms and neural networks to approximate missing data in database," in Computational Cybernetics, IEEE 3rd International Conference, ICCC, Apr. 2005, pp. 207-212. (Pubitemid 44459048)
    • (2005) ICCC 2005 - IEEE 3rd International Conference on Computational Cybernetics - Proceedings , vol.2005 , pp. 207-212
    • Abdella, M.1    Marwala, T.2
  • 9
    • 27544483496 scopus 로고    scopus 로고
    • Non-linear PCA: A missing data approach
    • DOI 10.1093/bioinformatics/bti634
    • M. Scholz, "Non-linear pca: a missing data approach," Biolnformatics, vol. 21, pp. 3887-3895, 2005. (Pubitemid 41535504)
    • (2005) Bioinformatics , vol.21 , Issue.20 , pp. 3887-3895
    • Scholz, M.1    Kaplan, F.2    Guy, C.L.3    Kopka, J.4    Selbig, J.5
  • 11
    • 33846205588 scopus 로고    scopus 로고
    • Autoencoder networks for HIV classification
    • B. Leke, T. Marwala, and T. Tettey, "Autoencoder Networks for hiv classification," Current Science, vol. 91, pp. 1467-1473, 2006. (Pubitemid 46103651)
    • (2006) Current Science , vol.91 , Issue.11 , pp. 1467-1473
    • Betechuoh, B.L.1    Marwala, T.2    Tettey, T.3
  • 13
    • 3042720557 scopus 로고    scopus 로고
    • The social epidemiology of human immunodeficiency virus/acquired immunodeficiency syndrome
    • DOI 10.1093/epirev/mxh005
    • K. Poundstone, S. Strathdee, and D. Celectrano, "The social epidemology of human immunodeficiency virus/acquired immunodeficiency sysndrome," Epidemiologic Rev, vol. 26, pp. 22-35, 2004. (Pubitemid 38856475)
    • (2004) Epidemiologic Reviews , vol.26 , pp. 22-35
    • Poundstone, K.E.1    Strathdee, S.A.2    Celentano, D.D.3
  • 14
    • 0036127092 scopus 로고    scopus 로고
    • A review of evidence of health benefit from artificial neural networks in medical intervention
    • PII S0893608001001113
    • P. Lisboa, "A review of evidence of health benefit from artificial neural networks in medical intervention," Neural Networks, vol. 15, pp. 11-39, 2002. (Pubitemid 34234792)
    • (2002) Neural Networks , vol.15 , Issue.1 , pp. 11-39
    • Lisboa, P.J.G.1
  • 15
    • 27744524965 scopus 로고    scopus 로고
    • Modeling of activity of cyclic urea HIV-1 protease inhibitors using regularized-artificial neural networks
    • DOI 10.1016/j.bmc.2005.08.022, PII S0968089605007765
    • M. Fernandez and J. Caballero, "Modeling of activity of cyclic urea hiv-1 protease inhibitors using regularizedartificial neural networks," J. Bioorg. Med. Chem, vol. 14, pp. 280-294, 2006. (Pubitemid 41635490)
    • (2006) Bioorganic and Medicinal Chemistry , vol.14 , Issue.1 , pp. 280-294
    • Fernandez, M.1    Caballero, J.2
  • 16
    • 0346311527 scopus 로고    scopus 로고
    • Assessment of HIV/AIDS-related health performance using an artificial neural network
    • DOI 10.1016/S0378-7206(00)00068-9, PII S0378720600000689
    • C. Lee and J. Park, "Assesment of hiv/aids-related health perfomance using an artificial neural network," J. Inf. Manage, vol. 38, pp. 231-238, 2001. (Pubitemid 33651295)
    • (2001) Information and Management , vol.38 , Issue.4 , pp. 231-238
    • Lee, C.W.1    Park, J.-A.2
  • 17
    • 0036116178 scopus 로고    scopus 로고
    • Applications of artificial neural network in AIDS research and therapy
    • S. Sardari and D. Sardari, "Applications of artificial neural networks in aids research and therapy," Curr. Pharmaceut. Design, vol. 8, pp. 659-670, 2002. (Pubitemid 34406407)
    • (2002) Current Pharmaceutical Design , vol.8 , Issue.8 , pp. 659-670
    • Sardari, S.1    Sardari, D.2
  • 18
    • 0032896471 scopus 로고    scopus 로고
    • Racial/ethnic group differences in the prevalence of sexually transmitted diseases in the United States: A network explanation
    • E. Laumann and Y. Youm, "Racial/ethnic group differences in the prevalence of sexually transmitted diseases in the united states: a network explanation," Sex Transm, vol. 26, pp. 250-261, 1999.
    • (1999) Sex Transm , vol.26 , pp. 250-261
    • Laumann, E.1    Youm, Y.2
  • 26
    • 0038171506 scopus 로고    scopus 로고
    • Feb. University of Otago. New Zealand
    • L. Smith. (2002, Feb.) A tutorial on pricipal component analysis. University of Otago. New Zealand. [Online]. Available: http://csnet.otago.ac.nz/ cosc453
    • (2002) A Tutorial on Pricipal Component Analysis
    • Smith, L.1
  • 27
    • 84870651657 scopus 로고    scopus 로고
    • Jan. Dept. Elect. Eng., University of Witwatersrand. Johannesburg
    • T. Marwala. (2006, Jan.) Lectures on introduction to neural networks. Dept. Elect. Eng., University of Witwatersrand. Johannesburg. [Online]. Available: http://dept.ee.wits.ac.za/marwala/ai.htm
    • (2006) Lectures on Introduction to Neural Networks
    • Marwala, T.1
  • 28
    • 0036638194 scopus 로고    scopus 로고
    • Application of autoassociative neural network on gas-path sensor data validation
    • P. Lu and T. Hsu, "Applications of autoassociative neural networks on gass-path sensor data validation," J. Propul. Power, vol. 18, pp. 879-888, 2002. (Pubitemid 34924318)
    • (2002) Journal of Propulsion and Power , vol.18 , Issue.4 , pp. 879-888
    • Lu, P.-J.1    Hsu, T.-C.2
  • 29
    • 0026113980 scopus 로고
    • Non linear pricipal component analysis using autoassociative neural networks
    • M. Kramer, "Non linear pricipal component analysis using autoassociative neural networks," AlCheJ., vol. 37, pp. 233-234, 1991.
    • (1991) AlCheJ. , vol.37 , pp. 233-234
    • Kramer, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.