A framework for systematic exploration of association rules (Agrawal et al., 1994, https://www.vldb.org/conf/1994/P487.PDF), contrast patterns (Chen, 2022, tools:::Rd_expr_doi("10.48550/arXiv.2209.13556")), emerging patterns (Dong et al., 1999, tools:::Rd_expr_doi("10.1145/312129.312191")), subgroup discovery (Atzmueller, 2015, tools:::Rd_expr_doi("10.1002/widm.1144")), and conditional correlations (Hájek, 1978, tools:::Rd_expr_doi("10.1007/978-3-642-66943-9")). User-defined functions may also be supplied to guide custom pattern searches. Supports both crisp (Boolean) and fuzzy data. Generates candidate conditions expressed as elementary conjunctions, evaluates them on a dataset, and inspects the induced sub-data for statistical, logical, or structural properties such as associations, correlations, or contrasts. Includes methods for visualization of logical structures and supports interactive exploration through integrated Shiny applications.
Maintainer: Michal Burda michal.burda@osu.cz (ORCID)
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