The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Principles of Data Mining
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Citations
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Maximum Likelihood from Incomplete Data Via the EM Algorithm
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Cluster analysis and display of genome-wide expression patterns
Eisen, M. B., Spellman, P. T., Brown, P. O., & Botstein, D. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.25.14863 · Cited by 16,184
The anatomy of a large-scale hypertextual Web search engine
Brin, S., & Page, L. (1998) · Computer Networks and ISDN Systems · doi:10.1016/s0169-7552(98)00110-x · Cited by 16,004
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A Stochastic Approximation Method
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Neural Networks and the Bias/Variance Dilemma
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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
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Gaussian Processes for Machine Learning
Rasmussen, C. E., & Williams, C. K. I. (2005) · doi:10.7551/mitpress/3206.001.0001 · Cited by 11,705
Predictive data mining in clinical medicine: Current issues and guidelines
BELLAZZI, R., & ZUPAN, B. (2008) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2006.11.006 · Cited by 823
Three naive Bayes approaches for discrimination-free classification.
Calders, T., & Verwer, S. (2010) · Data Mining and Knowledge Discovery · doi:10.1007/s10618-010-0190-x · Cited by 764
Evaluating multiple classifiers for stock price direction prediction
Ballings, M., Van den Poel, D., Hespeels, N., & Gryp, R. (2015) · Expert Systems with Applications · doi:10.1016/j.eswa.2015.05.013 · Cited by 611
Kell, D. B., & Oliver, S. G. (2004) · BioEssays · doi:10.1002/bies.10385 · Cited by 535
Data Quality in Internet of Things: A state-of-the-art survey
Karkouch, A., Mousannif, H., Al Moatassime, H., & Noel, T. (2016) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2016.08.002 · Cited by 378
UNICORN: Runtime Provenance-Based Detector for Advanced Persistent Threats
Han, X., Pasquier, T., Bates, A., Mickens, J., & Seltzer, M. (2020) · Proceedings 2020 Network and Distributed System Security Symposium · doi:10.14722/ndss.2020.24046 · Cited by 349
Which PHQ-9 Items Can Effectively Screen for Suicide? Machine Learning Approaches
Kim, S., Lee, H.-K., & Lee, K. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18073339 · Cited by 99
Methodologies in power systems fault detection and diagnosis
Aleem, S. A., Shahid, N., & Naqvi, I. H. (2015) · Energy Systems · doi:10.1007/s12667-014-0129-1 · Cited by 83
Genome-wide association studies and the genetic dissection of complex traits
Sebastiani, P., Timofeev, N., Dworkis, D. A., Perls, T. T., & Steinberg, M. H. (2009) · American Journal of Hematology · doi:10.1002/ajh.21440 · Cited by 67
Comparison of machine learning methods for classifying aphasic and non-aphasic speakers
Järvelin, A., & Juhola, M. (2011) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2011.02.015 · Cited by 18
Metadata
- Authors
- Hand, D. J.
- Venue
- Drug Safety
- Published
- 2007
- Volume
- 30
- Issue
- 7
- Pages
- 621-622
- ISSN
- 0114-5916 (ISSN-L)
- OpenAlex
- W2096335861
- Cited by
- 1,044
- References
- 14
- FWCI
- 123.11
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
