DetRules_1: Determine all possible association rules with consequent...
In TimToebrock/Project_Apriori: Implementation of the Apriori Algorithm
Description
Usage
Arguments
Value
View source: R/HelperFunctions.R
Description
This function takes frequent itemsets as input and generates all rules of consequent length 1
that have to be considered for rule mining. It uses the Apriori-gen for more efficient
generation of rule candidates.
Usage
1
DetRules_1(Items)
Arguments
Items
Object of class FIMatrix containing frequent itemsets of different length. Minimal
length should be two.
Value
Object of class Rules that contains all relevant rules with consequent length 1.
TimToebrock/Project_Apriori documentation built on Oct. 16, 2020, 9:22 p.m.
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Description Usage Arguments Value
View source: R/HelperFunctions.R
Description
This function takes frequent itemsets as input and generates all rules of consequent length 1 that have to be considered for rule mining. It uses the Apriori-gen for more efficient generation of rule candidates.
Usage
1 | DetRules_1(Items)
|
Arguments
Items |
Object of class FIMatrix containing frequent itemsets of different length. Minimal length should be two. |
Value
Object of class Rules that contains all relevant rules with consequent length 1.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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