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We provide a trend prediction classification framework named the random sampling method (RSM) for cryptocurrency time … the classification performance of our method expressed as the F-measure substantially exceeds the odds of a uniform random … process with three outcomes, proving that extraction of deterministic patterns for trend classification, and hence market …
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the classification task of data mining where prior outliers preprocessing is necessary. …
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data processing flow for the loan status classification of marketplace lending multivariate time series data by using the …
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This paper applies combining forecasts of air travel demand generated from the same model but over different estimation windows. The combination approach used resorts to Pesaran and Pick (2011), but the empirical application is extended in several ways. The forecasts are based on a seasonal...
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