The application of improved decision tree algorithm in the electric power marketing

Data mining technology has been widely studied and applied since its inception, the researches on C4.5 algorithm in the aspects of data classification technology have comparative matured, but the application of electric power marketing data mining aspects is relatively less. Decision tree classification technology was discussed in this paper, and detailed introduced an improved C4.5 decision tree classification algorithm, and then used the actual electric power marketing data as the basis for data mining. Through analysis of the results of data mining, which show that the decision tree algorithm is efficient and accurate, is the preferred tool of electric power data mining. The decision tree algorithm is used in electric power enterprises, mines out marketing knowledge of behind the hidden electric power data, so as to provide help for electric power enterprises operation and decision-making.