The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Data Mining
Overview
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Claims the paper makes
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Citations
Cites
The use of the area under the ROC curve in the evaluation of machine learning algorithms
Bradley, A. P. (1997) · Pattern Recognition · doi:10.1016/s0031-3203(96)00142-2 · Cited by 7,217
Knowledge tracing: Modeling the acquisition of procedural knowledge
Corbett, A. T., & Anderson, J. R. (1995) · User Modelling and User-Adapted Interaction · doi:10.1007/bf01099821 · Cited by 2,324
“Learning factors analysis-a general method for cognitive model evaluation and improvement,”
Cen, H., Koedinger, K., & Junker, B. (2006) · Lecture notes in computer science · doi:10.1007/11774303_17 · Cited by 572
Cited by
Romero, C., & Ventura, S. (2013) · WIREs Data Mining and Knowledge Discovery · doi:10.1002/widm.1075 · Cited by 869
Aldowah, H., Al-Samarraie, H., & Fauzy, W. M. (2019) · Telematics and Informatics · doi:10.1016/j.tele.2019.01.007 · Cited by 564
Tempelaar, D. T., Rienties, B., & Giesbers, B. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2014.05.038 · Cited by 449
Stupid tutoring systems, intelligent humans
Baker, R. S. (2016) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-016-0105-0 · Cited by 425
Self-citationFernandes, E., Holanda, M., Victorino, M., Borges, V., Carvalho, R., & Erven, G. V. (2019) · Journal of Business Research · doi:10.1016/j.jbusres.2018.02.012 · Cited by 316
Metadata
- Authors
- Baker, R. S. J. D.
- Venue
- International Encyclopedia of Education
- Publisher
- Elsevier
- Published
- 2010
- Pages
- 112-118
- OpenAlex
- W4253578872
- Cited by
- 295
- References
- 3
- Type
- reference entry
- 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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Data Mining. https://app.cochat.ai/papers/10.1016/b978-0-08-044894-7.01318-x
- The paper
- Baker, R. S. J. D. (2010). Data Mining. International Encyclopedia of Education. https://doi.org/10.1016/b978-0-08-044894-7.01318-x
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.
