The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Using Model Trees for Classification
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Citations
Cites
Classification and Regression Trees.
Gordon, A. D., Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (1984) · Biometrics · doi:10.2307/2530946 · Cited by 23,522
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Ryzin, J. V., Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (1986) · Journal of the American Statistical Association · doi:10.2307/2288003 · Cited by 20,825
Classification And Regression Trees
Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (2017) · doi:10.1201/9781315139470 · Cited by 11,417
A Probabilistic Theory of Pattern Recognition
Devroye, L., Györfi, L., & Lugosi, G. (1996) · Stochastic Modelling and Applied Probability · doi:10.1007/978-1-4612-0711-5 · Cited by 3,274
Solving Multiclass Learning Problems via Error-Correcting Output Codes
Dietterich, T. G., & Bakiri, G. (1995) · Journal of Artificial Intelligence Research · doi:10.1613/jair.105 · Cited by 2,739
UCI Repository of Machine Learning Databases
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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
Induction of model trees for predicting continuous classes
Wang, Y., & Witten, I. H. (1996) · Research Commons (University of Waikato) · Cited by 707
Self-citationRetrofitting Decision Tree Classifiers Using Kernel Density Estimation
Smyth, P., Gray, A., & Fayyad, U. M. (1995) · Elsevier eBooks · doi:10.1016/b978-1-55860-377-6.50069-4 · Cited by 70
Cited by
Data Mining: Practical Machine Learning Tools and Techniques
(2011) · Elsevier eBooks · doi:10.1016/c2009-0-19715-5 · Cited by 25,437
Exploiting place features in link prediction on location-based social networks
Scellato, S., Noulas, A., & Mascolo, C. (2011) · Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/2020408.2020575 · Cited by 522
Short-Term Prediction of Wind Farm Power: A Data Mining Approach
Kusiak, A., Zheng, H., & Song, Z. (2009) · IEEE Transactions on Energy Conversion · doi:10.1109/tec.2008.2006552 · Cited by 339
Elshafeey, N., Kotrotsou, A., Hassan, A., Elshafei, N., Hassan, I., Ahmed, S., Abrol, S., Agarwal, A., El Salek, K., Bergamaschi, S., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-11007-0 · Cited by 147
Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making
Aghaei, S., Azizi, M. J., & Vayanos, P. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v33i01.33011418 · Cited by 135
Metadata
- Authors
- Frank, E., Wang, Y., Inglis, S., Holmes, G., & Witten, I. H.
- Venue
- Machine Learning
- Published
- 1998-07
- Volume
- 32
- Issue
- 1
- Pages
- 63-76
- ISSN
- 0885-6125 (ISSN-L)
- 1573-0565
- OpenAlex
- W1598333443
- Cited by
- 377
- References
- 10
- FWCI
- 11.49
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Frank, E., Wang, Y., Inglis, S., Holmes, G., & Witten, I. H. (1998). Using Model Trees for Classification. Machine Learning. https://doi.org/10.1023/a%3A1007421302149
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.