人工智能和机器学习之关联规则学习算法：R-Apriori算法：关联规则学习基础理论.docx

install.packages("arules")

library(arules)

transactions <- data.frame(

T7 = c(0, 0, 1, 1, 0),

T8 = c(1, 1, 0, 1, 0),

T9 = c(0, 1, 1, 0, 1),

T10 = c(1, 0, 1, 1, 1)

)

transactions <- as(transactions, "transactions")

transactions = [

]

count += 1

return count / len(transactions)

def calculate_confidence(itemset, consequent, transactions):

support_itemset = calculate_support(itemset, transactions)

support_itemset_consequent = calculate_support(itemset + consequent, transactions)

return support_itemset_consequent / support_itemset

]

support = calculate_support(itemset, transactions)

confidence = calculate_confidence(itemset, consequent, transactions)

library(arules)

transactions <- read.transactions(textConnection(