A computational environment for mining association rules and frequent item sets
Mining frequent itemsets and association rules is a popular and well researched approach to discovering interesting relationships between variables in large databases. The R package arules presented in this paper provides a basic infrastructure for creating and manipulating input data sets and for a...
| Main Authors: | , , |
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| Format: | Others |
| Language: | en |
| Published: |
Institut für Statistik und Mathematik, WU Vienna University of Economics and Business
2005
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| Subjects: | |
| Online Access: | http://epub.wu.ac.at/132/1/document.pdf |