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CRAN: Package opusminer

opusminer: OPUS Miner Algorithm for Filtered Top-k Association Discovery

Provides a simple R interface to the OPUS Miner algorithm (implemented in C++) for finding the top-k productive, non-redundant itemsets from transaction data. The OPUS Miner algorithm uses the OPUS search algorithm to efficiently discover the key associations in transaction data, in the form of self-sufficient itemsets, using either leverage or lift. See <http://i.giwebb.com/index.php/research/association-discovery/> for more information in relation to the OPUS Miner algorithm.

Version: 0.1-1 Imports: Rcpp (≥ 0.12.9), arules (≥ 1.5-0), Matrix (≥ 1.2-7), methods LinkingTo: Rcpp Published: 2020-02-03 DOI: 10.32614/CRAN.package.opusminer Author: Geoffrey I Webb [aut, cph] (OPUS Miner algorithm and C++ implementation, http://i.giwebb.com/index.php/research/association-discovery/), Christoph Bergmeir [ctb, cre], Angus Dempster [ctb, cph] (R interface) Maintainer: Christoph Bergmeir <christoph.bergmeir at monash.edu> License: GPL-3 Copyright: OPUS Miner algorithm and C++ implementation Copyright (C) 2012-2017 Geoffrey I Webb, R interface Copyright (C) 2017 Angus Dempster. NeedsCompilation: yes Citation: opusminer citation info In views: MachineLearning CRAN checks: opusminer results Documentation: Downloads: Linking:

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