Handling Missing Data in Trees: Surrogate Splits or Statistical Imputation?-Reference-Cited by-同舟云学术

Handling Missing Data in Trees: Surrogate Splits or Statistical Imputation?

Published:1999 Issue: Volume: Page:329-334
ISSN:0302-9743
Container-title:Principles of Data Mining and Knowledge Discovery
language:
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Author:

Feelders Ad

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-48247-5_38

Reference7 articles.

1. Blake, C., Keogh, E., Merz, C.J.: UCI repository of machine learning databases. University of California, Irvine, Dept. of Information and Computer Sciences (1999), http://www.ics.uci.edu/_mlearn/MLRepository.html

2. Breiman, L.: Bagging predictors. Machine Learning 26(2), 123–140 (1996)

3. Breiman, L., Friedman, J.H., Olshen, R.A., Stone, C.T.: Classification and Regression Trees. Wadsworth, Belmont, California (1984)

4. Rubin, D.B.: Multiple imputation after 18+ years. Journal of the American Statistical Association 91, 473–489 (1996)

5. Schafer, J.L.: Analysis of Incomplete Multivariate Data. Chapman & Hall, London (1997)

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