Abstract
In data mining in order to reduce the numerical computations associated to the repeated application of the existing interpolation formula in computing a large number of interpolated values, a formula has been derived from Newton’s backward interpolation formula for representing the numerical data on a arbitrarily missing vales in database. A suit approach of the formula to numerical data has been shown in the case of representing the data on the dataset global carbon dioxide emissions from fossil fuel burning by Fuel Type corresponding as a method of time. The formula is suitable in the situation where the values of the argument are at equal interval.
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