Motif discovery using xsax

Motif discovery using xsax doi:10.1007/s10618-007-0064-z

Usage

hmo_xsax(a, w, qtd)

Arguments

a

alphabet size

w

word size

qtd

number of occurrences to be classified as motifs

Value

hmo_xsax object

Examples

library(daltoolbox)

#loading the example database
data(examples_motifs)

#Using sequence example
dataset <- examples_motifs$simple
head(dataset)
#>       serie event
#> 1 1.0000000 FALSE
#> 2 0.9939124 FALSE
#> 3 0.9275826 FALSE
#> 4 0.8066889 FALSE
#> 5 0.6403023 FALSE
#> 6 0.4403224 FALSE

# setting up motif discovery method
model <- hmo_xsax(37, 3, 3)

# fitting the model
model <- fit(model, dataset$serie)

detection <- detect(model, dataset$serie)

# filtering detected events
print(detection[(detection$event),])
#>    idx event  type    seq seqlen
#> 25  25  TRUE motif 0N0P0R      3
#> 50  50  TRUE motif 0N0P0R      3
#> 75  75  TRUE motif 0N0P0R      3