pat_cspade: cSPADE sequences
In daltoolbox: Leveraging Experiment Lines to Data Analytics

pat_cspade

R Documentation

cSPADE sequences

Description

Sequential pattern mining using arulesSequences::cspade.

Usage

pat_cspade(
  support = 0.4,
  maxsize = NULL,
  maxlen = NULL,
  mingap = NULL,
  maxgap = NULL,
  quality_filter = NULL,
  control = list(verbose = TRUE)
)

Arguments

`support`	minimum support threshold
`maxsize`	maximum number of items per event
`maxlen`	maximum number of events per sequence
`mingap`	minimum gap between successive events
`maxgap`	maximum gap between successive events
`quality_filter`	optional quality filter created with `patutils()`
`control`	list of control parameters

Value

returns a pat_cspade object

Examples

if (requireNamespace("arulesSequences", quietly = TRUE)) {
 x <- arulesSequences::read_baskets(
   con = system.file("misc", "zaki.txt", package = "arulesSequences"),
   info = c("sequenceID", "eventID", "SIZE")
 )
 utils <- patutils()
 pm <- pat_cspade(
   support = 0.4,
   maxlen = 3,
   quality_filter = utils$quality_min(support = 0.5)
 )
 pm <- fit(pm, x)
 seqs <- discover(pm, x)
 eval <- evaluate(pm, seqs)
 eval$metrics
}

daltoolbox documentation built on May 14, 2026, 9:06 a.m.