The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
KEEL: a software tool to assess evolutionary algorithms for data mining problems
Open accessAbstract
This paper introduces a software tool named KEEL which is a software tool to assess evolutionary algorithms for Data Mining problems of various kinds including as regression, classification, unsupervised learning, etc. It includes evolutionary learning algorithms based on different approaches: Pittsburgh, Michigan and IRL, as well as the integration of evolutionary learning techniques with different pre-processing techniques, allowing it to perform a complete analysis of any learning model in comparison to existing software tools. Moreover, KEEL has been designed with a double goal: research and educational.
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Citations
Cites
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
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An up-to-date comparison of state-of-the-art classification algorithms
Zhang, C., Liu, C., Zhang, X., & Almpanidis, G. (2017) · Expert Systems with Applications · doi:10.1016/j.eswa.2017.04.003 · Cited by 440
Tutorial on practical tips of the most influential data preprocessing algorithms in data mining
García, S., Luengo, J., & Herrera, F. (2016) · Knowledge-Based Systems · doi:10.1016/j.knosys.2015.12.006 · Cited by 310
Self-citationTextual aggregation approaches in OLAP context: A survey
Bouakkaz, M., Ouinten, Y., Loudcher, S., & Strekalova, Y. (2017) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2017.06.005 · Cited by 16
Metadata
- Authors
- Alcalá-Fdez, J., Sánchez, L., García, S., del Jesus, M. J., Ventura, S., Garrell, J. M., Otero, J., Romero, C., Bacardit, J., Rivas, V. M., Fernández, J. C., & Herrera, F.
- Venue
- Soft Computing
- Published
- 2008-05-22
- Volume
- 13
- Issue
- 3
- Pages
- 307-318
- ISSN
- 1432-7643 (ISSN-L)
- 1433-7479
- OpenAlex
- W2146713522
- Cited by
- 1,505
- References
- 1
- FWCI
- 102.82
- Type
- journal article
- Language
- en
- Open access
- green
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