[英]cSPADE data mining in R using arulesSequences - Error while converting to “transactions” format
I'm having trouble converting my data into cSPADE compatible format. 我将数据转换为cSPADE兼容格式时遇到问题。
My data frame looks like- 我的数据框看起来像 -
key type1 type2 type3 A-1 ABC B-2 PQ NA C-3 X NA NA
When I use, dataset1<- as(dataset, "transactions")
and run- 当我使用, dataset1<- as(dataset, "transactions")
和运行 -
rules<- cspade(dataset1, parameter = list(support = 0.4), control = list(verbose = TRUE))
It throws an error - Error in cspade(dataset1, parameter = list(support = 0.4), control = list(verbose = TRUE)) : slot transactionInfo: missing 'sequenceID' or 'eventID'
它抛出一个错误 - Error in cspade(dataset1, parameter = list(support = 0.4), control = list(verbose = TRUE)) : slot transactionInfo: missing 'sequenceID' or 'eventID'
的错误Error in cspade(dataset1, parameter = list(support = 0.4), control = list(verbose = TRUE)) : slot transactionInfo: missing 'sequenceID' or 'eventID'
Can anyone please help as to how can the above dataset be converted into the cSPADE compatible format? 任何人都可以请求如何将上述数据集转换为cSPADE兼容格式?
itry with this: itry:
source dataset in this format: 此格式的源数据集:
1 3 A B C
2 2 P Q
3 1 X
the first column is for the id of sequence, the second columns is for the length of sequence and then the elements of sequences. 第一列用于序列的id,第二列用于序列的长度,然后是序列的元素。 Then: 然后:
data <- read_baskets(con = "./input_file.txt", info = c("sequenceID","eventID","SIZE"))
rules<- cspade(data, parameter = list(support = 0.4), control = list(verbose = TRUE))
let me know if this works. 让我知道这个是否奏效。
This is my output: 这是我的输出:
parameter specification:
support : 0.4
maxsize : 10
maxlen : 10
algorithmic control:
bfstype : FALSE
verbose : TRUE
summary : FALSE
tidLists : FALSE
preprocessing ... 1 partition(s), 0 MB [0.1s]
mining transactions ... 0 MB [0.06s]
reading sequences ... [0s]
total elapsed time: 0.16s
> inspect(rules)
items support
1 <{B}> 0.3333333
2 <{C}> 0.3333333
3 <{Q}> 0.3333333
4 <{B,
C}> 0.3333333
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