Classification of data using New Enhanced Decision Tree Algorithm (NEDTA)
نویسندگان
چکیده
__________________________________________________________________________________________ Abstract: Data mining is method of maintaining a large amount of data stored in the database. Decision tree is a technique of data mining which classify the data and produces valuable results. These results are used in analysis and future prediction. The prime objective of this research work is to present an enhanced decision tree algorithm that classifies the data more efficiently and effectively than existing decision tree classifiers. We apply existing decision tree classifiers ID3, J48, NBTree on a large amount of data. Then the efficiency and performance of existing algorithms is examined and compared with new enhanced decision tree algorithm (NEDTA). Our enhanced decision tree algorithm produces better results as compared to other decision tree algorithms.
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