arules- A Computational Environment for Mining Association Rules and Frequent Item Sets
نویسندگان
چکیده
منابع مشابه
arules – A Computational Environment for Mining Association Rules and Frequent Item Sets
Mining frequent itemsets and association rules is a popular and well researched approach for 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 analyzing the resulting itemsets and rules. The package also includes interfaces to two fast mini...
متن کاملIntroduction to arules – A computational environment for mining association rules and frequent item sets
Mining frequent itemsets and association rules is a popular and well researched approach for 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 analyzing the resulting itemsets and rules. The package also includes interfaces to two fast mini...
متن کاملIntroduction to arules – Mining Association Rules and Frequent Item Sets
Mining frequent itemsets and association rules is a popular and well researched approach for 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 analyzing the resulting itemsets and rules. The package also includes interfaces to two fast mini...
متن کاملA 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 analyzing the resulting itemsets and rules. The package also includes interfaces to two fast minin...
متن کاملFrequent Item Set Mining and Association Rules
One of the important categories of data mining problems is that of associations between attributes. This gives useful insight for such diverse business problems as product cross-selling, website perception, and decision problems. There are two ways to look at attribute associations. The first is on the attribute-level, i.e., one looks for statistical dependencies between the attributes. Graphic...
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ژورنال
عنوان ژورنال: Journal of Statistical Software
سال: 2005
ISSN: 1548-7660
DOI: 10.18637/jss.v014.i15