Optimization of C4.5 Decision Tree Algorithm for Data Mining Application
Data mining is a new technology and has successfully applied on a lot of fields, the overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use. Data mining is mainly used for model classification and prediction. Classification is a form of data analysis that extracts models describing important data classes. C4.5 is one of the most classic classification algorithms on data mining, but when it is used in mass calculations, the efficiency is very low.