Stable Feature Selection with Privacy Preserving Data Mining Algorithm-Reference-Cited by-同舟云学术

Stable Feature Selection with Privacy Preserving Data Mining Algorithm

Published:2017 Issue: Volume: Page:227-237
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
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Author:

P Mohana Chelvan,K Perumal

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-5780-9_21

Reference19 articles.

1. Hastie, T., Tibshirani, R., Friedman, J.: The Elements of Statistical Learning. Springer, New York (2001)

2. Guyon, I., Elisseeff, A.: An introduction to variable and feature selection. J. Mach. Learn. Res. 3, 1157–1182 (2003)

3. Liu, H., Motoda, H.: Feature Selection for Knowledge Discovery and Data Mining. Kluwer Academic Publishers, Boston (1998)

4. Davis, C.A., Gerick, F., Hintermair, V., Friedel, C.C., Fundel, K., Küffner, R., Zimmer, R.: Reliable gene signatures for microarray classification: assessment of stability and performance. Bioinformatics 22(19), 2356–2363 (2006)

5. Hall, M.A.: Correlation-based feature selection for machine learning. Department of Computer Science, University of Waikato (1998). http://www.cs.waikato.ac.nz/~mhall/thesis.pdf

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