hmo_xsax: Motif discovery using XSAX
In harbinger: A Unified Time Series Event Detection Framework

hmo_xsax

R Documentation

Motif discovery using XSAX

Description

Discovers repeated subsequences (motifs) using an extended SAX (XSAX) representation that supports a larger alphanumeric alphabet.

Usage

hmo_xsax(a, w, qtd)

Arguments

`a`	Integer. Alphabet size.
`w`	Integer. Word/window size.
`qtd`	Integer. Minimum number of occurrences to be classified as motifs.

Value

hmo_xsax object.

References

Ogasawara, E., Salles, R., Porto, F., Pacitti, E. Event Detection in Time Series. 1st ed. Cham: Springer Nature Switzerland, 2025. doi:10.1007/978-3-031-75941-3

Examples

library(daltoolbox)

# Load motif example data
data(examples_motifs)

# Use a simple sequence example
dataset <- examples_motifs$simple
head(dataset)

# Configure XSAX-based motif discovery
model <- hmo_xsax(37, 3, 3)

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

# Run detection
detection <- detect(model, dataset$serie)

# Show detected motifs
print(detection[(detection$event),])

harbinger documentation built on Feb. 11, 2026, 9:06 a.m.