Usue Mori

Learn More
The goal of early classification of time series is to predict the class value of a sequence early in time, when its full length is not yet available. This problem arises naturally in many contexts where the data is collected over time and the label predictions have to be made as soon as possible. In this work, a method based on probabilistic classifiers is(More)
In this document the generation process of the synthetic databases used in the work titled " Similarity Measure Selection for Clustering Time Series Databases " is explained in detail. By using this information and the code attached, the readers can easily generate the databases used in this study. Furthermore, the explanations and code enable the(More)
  • 1