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:
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