Analysis on the impact of feature reduction on time-series data
Time-Series Classification has many practical applications in areas like industrial process monitoring and anomaly detection. However, the sheer volume and size of the datasets often make it difficult to conduct any analysis without first performing dimensionality reduction. Recent studies have expl...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2020
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| Online Access: | https://hdl.handle.net/10356/137889 |