A Generic Preprocessing Optimization Methodology when Predicting Time-Series Data
A general Methodology referred to as Daphne is introduced which is used to find optimum combinations of methods to preprocess and forecast for time-series datasets. The Daphne Optimization Methodology (DOM) is based on the idea of quantifying the effect of each method on the forecasting performance,...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2016-08-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/25868716/view |