Description Usage Details Source See Also Examples
A small example database for sequence mining provided as an object
of class transactions
and
as a text file.
1 |
The data set contains the sequential database described in the
paper by M. J. Zaki for illustration of the concepts of sequence
mining. sequenceID
and eventID
denote the sequence
and event (time) identifiers of the transactions.
M. J. Zaki. (2001). SPADE: An Efficient Algorithm for Mining Frequent Sequences. Machine Learning Journal, 42, 31–60.
Class
transactions
,
sequences
,
function
cspade
.
1 2 3 |
Loading required package: arules
Loading required package: Matrix
Attaching package: 'arules'
The following objects are masked from 'package:base':
abbreviate, write
transactions as itemMatrix in sparse format with
10 rows (elements/itemsets/transactions) and
8 columns (items) and a density of 0.3375
most frequent items:
A B F C D (Other)
6 5 5 3 3 5
element (itemset/transaction) length distribution:
sizes
1 2 3 4
1 2 6 1
Min. 1st Qu. Median Mean 3rd Qu. Max.
1.00 2.25 3.00 2.70 3.00 4.00
includes extended item information - examples:
labels
1 A
2 B
3 C
includes extended transaction information - examples:
sequenceID eventID SIZE
1 1 10 2
2 1 15 3
3 1 20 3
items sequenceID eventID SIZE
1 {C,D} 1 10 2
2 {A,B,C} 1 15 3
3 {A,B,F} 1 20 3
4 {A,C,D,F} 1 25 4
5 {A,B,F} 2 15 3
6 {E} 2 20 1
7 {A,B,F} 3 10 3
8 {D,G,H} 4 10 3
9 {B,F} 4 20 2
10 {A,G,H} 4 25 3
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