The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Classification and Regression Trees.
Abstract
The methodology used to construct tree structured rules is the focus of this monograph. Unlike many other statistical procedures, which moved from pencil and paper to calculators, this text's use of trees was unthinkable before computers. Both the practical and theoretical sides have been developed in the authors' study of tree methods. Classification and Regression Trees reflects these two sides, covering the use of trees as a data analysis method, and in a more mathematical framework, proving some of their fundamental properties.
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Citations
Cites
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An 800 bit/s vector quantization LPC vocoder
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Regression shrinkage and selection via the lasso
Tibshirani, R. (1996) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1996.tb02080.x · Cited by 51,482
Data mining: concepts and techniques
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An introduction to ROC analysis
Fawcett, T. (2006) · Pattern Recognition Letters · doi:10.1016/j.patrec.2005.10.010 · Cited by 21,879
Arnett, F. C., Edworthy, S. M., Bloch, D. A., Mcshane, D. J., Fries, J. F., Cooper, N. S., Healey, L. A., Kaplan, S. R., Liang, M. H., Luthra, H. S., et al. (1988) · Arthritis & Rheumatism · doi:10.1002/art.1780310302 · Cited by 19,752
The WEKA data mining software: an update
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Metadata
- Authors
- Gordon, A. D., Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J.
- Venue
- Biometrics
- Publisher
- JSTOR
- Published
- 1984-09
- Volume
- 40
- Issue
- 3
- Pages
- 874
- ISSN
- 0006-341X (ISSN-L)
- OpenAlex
- W1594031697
- Cited by
- 23,522
- References
- 15
- FWCI
- 62.48
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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