This paper describes-how a technique called General Unary Hypothesis Automaton (GUHA) can be applied to the study of West Nile Virus for its exploratory data analysis. A satellite image of infected area by West Nile Virus is converted into a proper data format and computed by GUHA method. The significant hypotheses that depict the dependencies between the environmental properties of the infected area and the infected species are generated as a result that satisfies given conditions. The hypotheses are evaluated for their accuracy and further applied for the prediction of their distribution.
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