Extensible framework for subgroup discovery (Atzmueller (2015) <doi:10.1002/widm.1144>), contrast patterns (Chen (2022) <doi:10.48550/arXiv.2209.13556>), emerging patterns (Dong (1999) <doi:10.1145/312129.312191>), association rules (Agrawal (1994) <https://www.vldb.org/conf/1994/P487.PDF>) and conditional correlations (Hájek (1978) <doi:10.1007/978-3-642-66943-9>). Both crisp (Boolean, binary) and fuzzy data are supported. It generates conditions in the form of elementary conjunctions, evaluates them on a dataset and checks the induced sub-data for interesting statistical properties. A user-defined function may be defined to evaluate on each generated condition to search for custom patterns.
Package details |
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Author | Michal Burda [aut, cre] (<https://orcid.org/0000-0002-4182-4407>) |
Maintainer | Michal Burda <michal.burda@osu.cz> |
License | GPL (>= 3) |
Version | 1.4.0 |
URL | https://beerda.github.io/nuggets/ https://github.com/beerda/nuggets |
Package repository | View on CRAN |
Installation |
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