The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Effects of data set features on the performances of classification algorithms
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Citations
Cites
A simulation study of the number of events per variable in logistic regression analysis
Peduzzi, P., Concato, J., Kemper, E., Holford, T. R., & Feinstein, A. R. (1996) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(96)00236-3 · Cited by 9,655
Top 10 algorithms in data mining
Wu, X., Kumar, V., Ross Quinlan, J., Ghosh, J., Yang, Q., Motoda, H., McLachlan, G. J., Ng, A., Liu, B., Yu, P. S., et al. (2008) · Knowledge and Information Systems · doi:10.1007/s10115-007-0114-2 · Cited by 5,667
Friedman, N., Geiger, D., & Goldszmidt, M. (1997) · Machine Learning · doi:10.1023/a:1007465528199 · Cited by 4,742
Madden, S. (2012) · IEEE Internet Computing · doi:10.1109/mic.2012.50 · Cited by 509 · cited 3×
“Since a classification algorithm based on the power of data-intensive science is needed, the most important issue is to bridge the gap between large scale data processing platforms, such as DBMS and MapReduce, and analysis packages, such as SAS, R and Matlab (Madden, 2012).”
BackgroundMethodInfluential
Cited by
How ‘big data’ can make big impact: findings from a systematic review and a longitudinal case study
Fosso Wamba, S., Akter, S., Edwards, A., Chopin, G., & Gnanzou, D. (2015) · International Journal of Production Economics · doi:10.1016/j.ijpe.2014.12.031 · Cited by 1,905
(2014) · Educational Technology & Society · Cited by 598
Big data and dynamic capabilities: a bibliometric analysis and systematic literature review
Rialti, R., Marzi, G., Ciappei, C., & Busso, D. (2019) · Management Decision · doi:10.1108/md-07-2018-0821 · Cited by 319
Big data, knowledge co-creation and decision making in fashion industry
Acharya, A., Singh, S. K., Pereira, V., & Singh, P. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.06.008 · Cited by 221
Big data in operations and supply chain management: Current trends and future perspectives
Lamba, K., & Singh, S. P. (2017) · Production Planning & Control · doi:10.1080/09537287.2017.1336787 · Cited by 193
Metadata
- Authors
- Kwon, O., & Sim, J. M.
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2013-04
- Volume
- 40
- Issue
- 5
- Pages
- 1847-1857
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W2044468884
- Cited by
- 168
- References
- 4
- FWCI
- 17.47
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kwon, O., & Sim, J. M. (2013). Effects of data set features on the performances of classification algorithms. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2012.09.017
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.
