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Automated Machine Learning for Predicting Trends in Time Series Data
Recently, a hybrid Deep Neural Network (DNN) algorithm, TreNet was proposed for predicting trends in time series data. While TreNet was shown to have superior performance to a number of alternative approaches, the validation method used did not take into account the sequential nature of time series...
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| Format: | Thesis |
| Language: | English |
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Department of Computer Science
2022
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