A Study of Feature Construction for Text-based Forecasting of Time Series Variables
CIKM, pp. 2347-2350, 2017.
Time series are ubiquitous in the world since they are used to measure various phenomena (e.g., temperature, spread of a virus, sales, etc.). Forecasting of time series is highly beneficial (and necessary) for optimizing decisions, yet is a very challenging problem; using only the historical values of the time series is often insufficient...More
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