论文信息 - Prescient Precision Utilizing GABASS Approach over Bank Data

Prescient Precision Utilizing GABASS Approach over Bank Data

For improving accuracy in present work experiment is proposed over bank data to classify, according to the 11 existing feature. Classification problems frequently have a large number of features, but not all of them are utile for classification. Redundant and irrelevant features may be reduced the classification accuracy. Feature selection is a procedure of choosing a subset of significant components, which can diminish the dimensionality, abbreviate the running time. Genetic algorithm as an optimization tool and Naïve Bayes classifier will be used to compute the accuracy. General Terms Data mining

Pradeep Kumar | Kanika Choudhary | Jaykant Pratap Singh Yadav

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