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我對數據挖掘非常陌生。我有一個任務,在R中使用Apriori函數(Package:arules)打印所有的關聯規則,但是問題在於它僅在RHS上打印一個項目。下面是我使用的程序:R中的Apriori函數問題
a_list <- list(
c("I1","I2","I5"),
c("I2","I4"),
c("I2","I3"),
c("I1","I2","I4"),
c("I1","I3"),
c("I2","I3"),
c("I1","I3"),
c("I1","I2","I3","I5"),
c("I1","I2","I3")
)
names(a_list) <- paste("T",c(1:9), "00", sep = "")
table5_1 <- as(a_list, "transactions")
rules <- apriori(table5_1, parameter = list(supp = 0.21, conf = 0.7,
target = "rules"))
inspect(rules)
輸出:
lhs rhs support confidence lift count
[1] {} => {I2} 0.7777778 0.7777778 1.000000 7
[2] {I4} => {I2} 0.2222222 1.0000000 1.285714 2
[3] {I5} => {I1} 0.2222222 1.0000000 1.500000 2
[4] {I5} => {I2} 0.2222222 1.0000000 1.285714 2
[5] {I1,I5} => {I2} 0.2222222 1.0000000 1.285714 2
[6] {I2,I5} => {I1} 0.2222222 1.0000000 1.500000 2
誰能告訴由我可以得到所有產生的關聯規則的方法?我用minlen和maxlen試了一下,但沒有爲我工作。 在此先感謝
你期待什麼輸出?根據您設置的參數('supp = 0.21,conf = 0.7'),這些是由'apriori()'生成的所有關聯規則。 –
@ Z.Lin當我在紙上做了同樣的問題。我發現我的答案是:I5 - > I1,I2包括上面的輸出 –