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niarules: Numerical Association Rule Mining using Population-Based Nature-Inspired Algorithms
Framework is devoted to mining numerical association rules through the utilization of nature-inspired algorithms for optimization. Drawing inspiration from the 'NiaARM' 'Python' and the 'NiaARM' 'Julia' packages, this repository introduces the capability to perform numerical association rule mining in the R programming language. Fister Jr., Iglesias, Galvez, Del Ser, Osaba and Fister (2018) <doi:10.1007/978-3-030-03493-1_9>.
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Package details |
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| Author | Iztok Jr. Fister [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-6418-1272>), Gerlinde Emsenhuber [aut] (ORCID: <https://orcid.org/0000-0001-7776-586X>), Jan Hendrik Plümer [aut] (ORCID: <https://orcid.org/0009-0000-3722-1702>) |
| Maintainer | Iztok Jr. Fister <iztok@iztok.space> |
| License | MIT + file LICENSE |
| Version | 0.3.1 |
| URL | https://github.com/firefly-cpp/niarules |
| Package repository | View on CRAN |
| Installation |
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