A package for time series classification in Weka
Weka is a powerful machine learning framework. However, it lacks of tools to handle time series data analysis.
timeSeriesClassification is a package for Weka that implements extensions specially developed for performing the classification of time series data. Those tools are the following:
- DTWDistance: a distance function based on the dynamic time warping dissimilarity measure, knows as DTW
- DTWSearch: a nearest neighbors algorithm for the classification of time series, which takes advantage of the Keogh’s lower bound technique in order to reduce the computational cost of the classification
- NumerosityReduction: a filter for numerosity reduction of time series datasets
The experimental results obtained using these extensions on several traditional time series datasets show the validity and utility of this package.
For more information, take a look at the paper:
- César Soto Valero, Mabel González Castellanos: A package for time series classification in Weka (CICCI' 2016)
