Automatic identification of time series features for rule-based forecasting
نویسندگان
چکیده
منابع مشابه
Automatic Identification of Time-Series Features for Rule-based Forecasting
Rule-based forecasting (RBF) is an expert system that uses features of time series to select and weight extrapolation techniques. Thus, it is dependent upon the identification of features of the time series. Judgmental coding of these features is expensive and the reliability of the ratings is modest. We developed and automated heuristics to detect six features that had previously been judgment...
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Rule-Based Forecasting (RBF) is an expert system that uses judgment to develop and apply rules for combining extrapolations. The judgment comes from two sources, forecasting expertise and domain knowledge. Forecasting expertise is based on more than a half century of research. Domain knowledge is obtained in a structured way; one example of domain knowledge is managers= expectations about trend...
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ژورنال
عنوان ژورنال: International Journal of Forecasting
سال: 2001
ISSN: 0169-2070
DOI: 10.1016/s0169-2070(01)00079-6