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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 contributions...
It is well-known that the traditional association rules with time can't be found out in many algorithms. First, according to concept of dynamic association rules, this paper analyzes the disadvantages of traditional association rules. Then, the concepts of dynamic association rules based on sliding windows and the definition of time vector representation of dynamic association rules are put forward...
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