The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Decision trees and decision-making
Abstract
Various practical systems capable of extracting descriptive decision-making knowledge from data have been developed and evaluated. Techniques that represent knowledge about classified tasks in the form of decision trees are examined. A sample of techniques is sketched, ranging from basic methods of constructing decision trees to ways of using them noncategorically. Some characteristics that suggest whether a particular classification task is likely to be amenable or not to tree-based methods are discussed.>
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Citations
Cites
Quinlan, J. R. (1986) · Machine Learning · doi:10.1007/bf00116251 · Cited by 21,439
Self-citationConstructing optimal binary decision trees is NP-complete
Hyafil, L., & Rivest, R. L. (1976) · Information Processing Letters · doi:10.1016/0020-0190(76)90095-8 · Cited by 959
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A novel evolutionary data mining algorithm with applications to churn prediction
Au, W.-H., Chan, K. C. C., & Yao, X. (2003) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2003.819264 · Cited by 348
Timmons, A. C., Duong, J. B., Simo Fiallo, N., Lee, T., Vo, H. P. Q., Ahle, M. W., Comer, J. S., Brewer, L. C., Frazier, S. L., & Chaspari, T. (2023) · Perspectives on Psychological Science · doi:10.1177/17456916221134490 · Cited by 263
Papageorgiou, E. I., Markinos, A. T., & Gemtos, T. A. (2011) · Applied Soft Computing · doi:10.1016/j.asoc.2011.01.036 · Cited by 157
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Metadata
- Authors
- Quinlan, J. R.
- Venue
- IEEE Transactions on Systems, Man, and Cybernetics
- Published
- 1990
- Volume
- 20
- Issue
- 2
- Pages
- 339-346
- ISSN
- 0018-9472 (ISSN-L)
- OpenAlex
- W2050547330
- Cited by
- 566
- References
- 2
- FWCI
- 19.08
- Type
- journal article
- Language
- en
- Open access
- closed
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- Quinlan, J. R. (1990). Decision trees and decision-making. IEEE Transactions on Systems, Man, and Cybernetics. https://doi.org/10.1109/21.52545
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.