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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:

Reference manual: opusminer.pdf

Downloads:

Package source: opusminer_0.1-1.tar.gz
Windows binaries: r-devel: opusminer_0.1-1.zip, r-release: opusminer_0.1-1.zip, r-oldrel: opusminer_0.1-1.zip
macOS binaries: r-release (arm64): opusminer_0.1-1.tgz, r-oldrel (arm64): opusminer_0.1-1.tgz, r-release (x86_64): opusminer_0.1-1.tgz, r-oldrel (x86_64): opusminer_0.1-1.tgz
Old sources: opusminer archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=opusminer to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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