Shapelet Classification Algorithm Based on Efficient Subsequence Matching
Shapelet classification algorithms are an accurate classification method for time series data. Existing shapelet classifying processes are relatively inefficient and slow due to the large amount of necessary complex distance computations. This paper therefore introduces piecewise aggregate approxima...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Ubiquity Press
2018-03-01
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| Series: | Data Science Journal |
| Subjects: | |
| Online Access: | https://datascience.codata.org/articles/752 |