lism: Runs the logical itemset mining algorithm to generate pairs...

In mvanwyk/logical-itemset-miner: Logical Itemset Mining to Determine Latent Customer Intents within Freqently Found Itemsets

Description

Runs the logical itemset mining algorithm to generate pairs of items

Usage

lism(data, item_col, link_col, min_cooccur_cnt = 0, min_consistency = 0.1)

Arguments

data	A dataframe containing
item_col	The name of the column in the dataframe containing the item idenfifier
link_col	The name of the column in the dataframe linking the paris of items
min_cooccur_cnt	The minimum times a cooccuring pair can cooccur to be consider
min_consistency	The minimum information criteria to retain a pair in the output data set

Examples

data <- data.frame(item_id = c(1,3,4,6,3,4,3,5,6,1,2,1,4,2),
                   trans_id = c(1,2,3,4,1,2,3,4,1,2,3,4,1,2))
lism(data, item_col = "item_id", link_col = "trans_id",
     min_consistency = 0.2)

mvanwyk/logical-itemset-miner documentation built on May 15, 2019, 5:50 p.m.