The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Decision Trees
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Citations
Cites
(1992) · Cited by 23,431
Classification And Regression Trees
Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (2017) · doi:10.1201/9781315139470 · Cited by 11,417
Multivariate Adaptive Regression Splines
Friedman, J. H. (1991) · The Annals of Statistics · doi:10.1214/aos/1176347963 · Cited by 8,000
Pattern Classification and Scene Analysis
Thompson, M., Duda, R. O., & Hart, P. E. (1974) · Leonardo · doi:10.2307/1573081 · Cited by 4,495
An exploratory technique for investigating large quantities of categorical data
Kass, G. V. (1980) · Applied Statistics · doi:10.2307/2986296 · Cited by 2,880
Quinlan, J. R. (1987) · International Journal of Man-Machine Studies · doi:10.1016/s0020-7373(87)80053-6 · Cited by 2,553
(1961) · Journal of the Optical Society of America · doi:10.1364/josa.51.000248 · Cited by 2,288
Very Simple Classification Rules Perform Well on Most Commonly Used Datasets
Holte, R. C. (1993) · Machine Learning · doi:10.1023/a:1022631118932 · Cited by 1,791
Lim, T.-S., Loh, W.-Y., & Shih, Y.-S. (2000) · Machine Learning · doi:10.1023/a:1007608224229 · Cited by 1,133
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
Murthy, S. K. (1998) · Data Mining and Knowledge Discovery · doi:10.1023/a:1009744630224 · Cited by 991
Cited by
Chicco, D., Warrens, M. J., & Jurman, G. (2021) · PeerJ Computer Science · doi:10.7717/peerj-cs.623 · Cited by 5,380
A systematic review of the clinical application of data-driven population segmentation analysis
Yan, S., Kwan, Y. H., Tan, C. S., Thumboo, J., & Low, L. L. (2018) · BMC Medical Research Methodology · doi:10.1186/s12874-018-0584-9 · Cited by 99
Robustifying the Deployment of tinyML Models for Autonomous mini-vehicles
de Prado, M., Rusci, M., Capotondi, A., Donze, R., Benini, L., & Pazos, N. (2021) · Sensors · doi:10.3390/s21041339 · Cited by 57
Explainable AI in Education: Techniques and Qualitative Assessment
Gunasekara, S., & Saarela, M. (2025) · Applied Sciences · doi:10.3390/app15031239 · Cited by 53
Li, R., Song, F., Zhou, Q., Wu, W., Cao, Y., Zhang, G., Qian, Z., & Wang, L. (2025) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.29399 · Cited by 10
Metadata
- Authors
- Rokach, L., & Maimon, O.
- Venue
- Data Mining and Knowledge Discovery Handbook
- Publisher
- Springer-Verlag
- Published
- 2006-05-26
- Pages
- 165-192
- OpenAlex
- W4213102919
- Cited by
- 594
- References
- 43
- FWCI
- 0.00
- Type
- book chapter
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Decision Trees. https://app.cochat.ai/papers/10.1007/0-387-25465-x_9
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- Rokach, L., & Maimon, O. (2006). Decision Trees. Data Mining and Knowledge Discovery Handbook. https://doi.org/10.1007/0-387-25465-x_9
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
