The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
A comparative analysis of machine learning techniques for student retention management
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Citations
Cites
Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
The Elements of Statistical Learning
Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970
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
Quinlan, J. R. (1986) · Machine Learning · doi:10.1007/bf00116251 · Cited by 21,439
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
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
Cristianini, N., & Shawe-Taylor, J. (2000) · doi:10.1017/cbo9780511801389 · Cited by 13,855
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
John Lu, Z. Q. (2010) · Journal of the Royal Statistical Society Series A: Statistics in Society · doi:10.1111/j.1467-985x.2010.00646_6.x · Cited by 12,390
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
Kohavi, R. (1995) · Zenodo · doi:10.5281/zenodo.19712698 · Cited by 10,909
Leaving College: Rethinking the Causes and Cures of Student Attrition
Bean, J. P. (1988) · The Journal of Higher Education · doi:10.1080/00221546.1988.11780239 · Cited by 7,369
Cited by
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-019-0171-0 · Cited by 7,242
“Readers are therefore encouraged to refer to the literature referenced in the articles that are included in this review (e.g. Delen, 2010 and Umer, Susnjak, Mathrani, & Suriadi, 2017). students in general (e.g., Oztekin, 2016; Raju & Schumacker, 2015).”
BackgroundApplication and theory gaps during the rise of artificial intelligence in education
Chen, X., Xie, H., Zou, D., & Hwang, G.-J. (2020) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2020.100002 · Cited by 1,003
A data-driven approach to predict the success of bank telemarketing
Moro, S., Cortez, P., & Rita, P. (2014) · Decision Support Systems · doi:10.1016/j.dss.2014.03.001 · Cited by 868
Yağcı, M. (2022) · Smart Learning Environments · doi:10.1186/s40561-022-00192-z · Cited by 698
Artificial intelligence innovation in education: A twenty-year data-driven historical analysis
Guan, C., Mou, J., & Jiang, Z. (2020) · International Journal of Innovation Studies · doi:10.1016/j.ijis.2020.09.001 · Cited by 665
Metadata
- Authors
- Delen, D.
- Venue
- Decision Support Systems
- Publisher
- Elsevier BV
- Published
- 2010-11
- Volume
- 49
- Issue
- 4
- Pages
- 498-506
- ISSN
- 0167-9236 (ISSN-L)
- OpenAlex
- W1970881937
- Cited by
- 332
- References
- 47
- FWCI
- 16.38
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Delen, D. (2010). A comparative analysis of machine learning techniques for student retention management. Decision Support Systems. https://doi.org/10.1016/j.dss.2010.06.003
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.
