prefrecset {RecAssoRules} | R Documentation |
Mining for frequent patterns.
Description
Provides a R DataFrame with 3 columns , the set-names , their support and relative support. When lauching the function, The BinaryMatrix is ordered in ascendant colsums order. For each column, the frequent itemSets containing the current tested item are extracted with the traversal function.
Usage
prefrecset (Bitmax , varnames , relativeSup )
Arguments
Bitmax |
A binary DataFrame |
varnames |
A vector of character or a Matrix character. |
relativeSup |
The wanted relative min Support value. |
Examples
data("Transacfruits")
## Import and build Transafruits as binary matrix.
binaryfruits = transactiontoBitmax (as.matrix(Transacfruits),",")
itemsets = prefrecset (binaryfruits, names(binaryfruits), 0.02)
## Mine frequents itemSet from Transacfruits with a relative min support of 0.02.
[Package RecAssoRules version 1.0 Index]