ANALYSIS OF AN IMPROVED SPATIAL-BOOSTING BASED ON FITNESS FUNCTION

Computer Engineering

"We are data rich, Information poor”. Data need to be preprocessed before taking it to the data mining step. Some of the error and missing value are removed by preprocessing techniques. In this paper we are going to proposed fitness function to the existing adaboost algorithm . In this research paper we are going to have data in offline format and applying the adaboost algorithm to enhance the data classification. The S-boosting, just the extends of Adaboost is used for spatial analysis. The research proposed the S-boosting with fitness function to reduce the predication error in the result set. The proposed model and algorithm is shown in this paper. The paper also show result obtain in every iteration and also have graphical analysis for the same.

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