gecco: GECCO Challenge 2018 – Water Quality Time Series
Description
Benchmark time series for water quality monitoring composed of
multiple sensors and an associated binary event label. This dataset
supports research in anomaly and event detection for environmental data
streams. See cefet-rj-dal/united
for usage guidance and links to the preprocessing steps used to build the
package-ready object. Labels available: Yes.
Usage
data(gecco)
Arguments
Format
A list of time series.
Details
This package ships a mini version of the dataset. Use loadfulldata() to download and load the full dataset from the URL stored in attr(url).
References
Genetic and Evolutionary Computation Conference (GECCO), Association for Computing Machinery (ACM).
See also: Chandola, V., Banerjee, A., & Kumar, V. (2009). Anomaly detection:
A survey. ACM Computing Surveys, 41(3), 1–58.
data(gecco)
# Select the first univariate series and inspectseries <- gecco[[1]]
summary(series$value)
# Plot values with event markersplot(ts(series$value), main = names(gecco)[1], ylab = "value")