Finding Discriminative Subsequences Via a Coverage Measure and Mutual Information Selection Strategy for Multi-Class Time Series Classification
Abstract Time series classification (TSC) has attracted considerable attention from the data mining community over the past decades. One of the effective ways to handle this task is to find discriminative subsequences in time series to train a classifier. Obviously, how to measure the discriminative...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2024-04-01
|
| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44196-024-00461-4 |