The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Open-source machine learning: R meets Weka
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Citations
Cites
Data Mining: Practical Machine Learning Tools and Techniques
(2011) · Elsevier eBooks · doi:10.1016/c2009-0-19715-5 · Cited by 25,437
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
(1992) · Cited by 23,431
Classification and Regression Trees.
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
Unbiased Recursive Partitioning: A Conditional Inference Framework
Hothorn, T., Hornik, K., & Zeileis, A. (2006) · Journal of Computational and Graphical Statistics · doi:10.1198/106186006x133933 · Cited by 4,021
Self-citationCohen, W. W. (1995) · Machine Learning Proceedings 1995 · doi:10.1016/b978-1-55860-377-6.50023-2 · Cited by 3,787
Chambers, J., Hastie, T., & Pregibon, D. (1990) · Compstat · doi:10.1007/978-3-642-50096-1_48 · Cited by 1,742
Landwehr, N., Hall, M., & Frank, E. (2005) · Machine Learning · doi:10.1007/s10994-005-0466-3 · Cited by 1,214
Model-Based Recursive Partitioning
Zeileis, A., Hothorn, T., & Hornik, K. (2008) · Journal of Computational and Graphical Statistics · doi:10.1198/106186008x319331 · Cited by 781
Self-citationarules- A Computational Environment for Mining Association Rules and Frequent Item Sets
Hahsler, M., Grün, B., & Hornik, K. (2005) · Journal of Statistical Software · doi:10.18637/jss.v014.i15 · Cited by 552
Self-citation
Cited by
Meher, P. K., Sahu, T. K., Saini, V., & Rao, A. R. (2017) · Scientific Reports · doi:10.1038/srep42362 · Cited by 516
TSE-IDS: A Two-Stage Classifier Ensemble for Intelligent Anomaly-Based Intrusion Detection System
Tama, B. A., Comuzzi, M., & Rhee, K.-H. (2019) · IEEE Access · doi:10.1109/access.2019.2928048 · Cited by 386
Nobre, G. C., & Tavares, E. (2017) · Scientometrics · doi:10.1007/s11192-017-2281-6 · Cited by 375
Machine learning algorithms for construction projects delay risk prediction
Gondia, A., Siam, A., El-Dakhakhni, W., & Nassar, A. H. (2020) · Journal of Construction Engineering and Management · doi:10.1061/(asce)co.1943-7862.0001736 · Cited by 327
Zou, X., Koh, G. C. C., Nanda, A. S., Degasperi, A., Urgo, K., Roumeliotis, T. I., Agu, C. A., Badja, C., Momen, S., Young, J., et al. (2021) · Nature Cancer · doi:10.1038/s43018-021-00200-0 · Cited by 164
Metadata
- Authors
- Hornik, K., Buchta, C., & Zeileis, A.
- Venue
- Computational Statistics
- Published
- 2008-05-14
- Volume
- 24
- Issue
- 2
- Pages
- 225-232
- ISSN
- 0943-4062 (ISSN-L)
- 1613-9658
- OpenAlex
- W2033371754
- Cited by
- 385
- References
- 15
- FWCI
- 7.42
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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- CoChat. (2026). Citation check: Open-source machine learning: R meets Weka. https://app.cochat.ai/papers/10.1007/s00180-008-0119-7
- The paper
- Hornik, K., Buchta, C., & Zeileis, A. (2009). Open-source machine learning: R meets Weka. Computational Statistics. https://doi.org/10.1007/s00180-008-0119-7
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.
