Mining effective multi-segment sliding window for pathogen incidence rate prediction
نویسندگان
چکیده
منابع مشابه
Mining effective multi-segment sliding window for pathogen incidence rate prediction
Pathogen incidence rate prediction, which can be considered as time series modeling, is an important task for infectious disease incidence rate prediction and for public health. This paper investigates applying a genetic computation technique, namely GEP, for pathogen incidence rate prediction. To overcome the shortcomings of traditional sliding windows in GEP based time series modeling, the pa...
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Positive pathogens prediction is the basis of pathogenic spectrum analysis, which is a meaningful work in public health. Gene Expression Programming (GEP) can develop the model without predetermined assumptions, so applying GEP to positive pathogens prediction is desirable. However, traditional time-adjacent sliding window may not be suitable for GEP evolving accurate prediction model. The main...
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ژورنال
عنوان ژورنال: Data & Knowledge Engineering
سال: 2013
ISSN: 0169-023X
DOI: 10.1016/j.datak.2013.05.006