Identity management based on PCA and SVM-Reference-Cited by-同舟云学术

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Identity management based on PCA and SVM

Published:2015-04-22 Issue:4 Volume:18 Page:711-716
ISSN:1387-3326
Container-title:Information Systems Frontiers
language:en
Short-container-title:Inf Syst Front

Author:

Shen Lixin,Wang Hong,Xu Li Da,Ma Xue,Chaudhry Sohail,He Wu

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Information Systems,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s10796-015-9551-8.pdf

Reference10 articles.

1. Bartlett, M. S., Movellan, J. R., & Sejnowski, T. J. (2002). Face recognition by independent component analysis. IEEE Transactions on Neural Networks, 13(6), 1450–1464.

2. Du, S., & Lv, J. (2013). Minimal Euclidean distance chart based on support vector regression for monitoring mean shifts of auto-correlated processes. International Journal of Production Economics, 141(1), 377–387.

3. Duan, L., & Xu, L. (2012). Business intelligence for enterprise systems: a survey. IEEE Transactions on Industrial Informatics, 8(3), 679–687.

4. Ma, Y., Chen, G., & Wei, Q. (2014). A novel business analytics approach and case study – fuzzy associative classifier based on information gain and rule-covering. Journal of Management Analytics, 1(1), 1–19.

5. Pan, S., Wang, L., Wang, K., Bi, Z., Shan, S., & Xu, B. (2014). A knowledge engineering framework for identifying key impact factors from safety-related accident cases. Systems Research and Behavioral Science, 31(3), 383–397.

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