Recentness biased learning for time series forecasting
Inf. Sci., pp. 29-38, 2013.
WOS SCOPUS EI
In recent years, dynamic time series analysis with the concept drift has become an important and challenging task for a wide range of applications including stock price forecasting, target sales, etc. In this paper, a recentness biased learning method is proposed for dynamic time series analysis by introducing a drift factor. First of all...More
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