Research And Application Of Data Mining Algorithm In Electric Power Marketing

Data mining, the analytical method and technique of finding potential information in large numbers of data, has become the focus in all fields. In the process of the informational construction of electric power industry, there are a great deal of historical data which cry for decision support system using technology of data mining,and it will be used to resolve the pivotal,extrusive question. This paper compares and analyses data mining algorithm, discusses decision tree arithmetic and clustering analysis importantly and produces intelligence decision tree algorithm that remedy the shortage of general decision tree. By clustering, we can identify the dense and sparse category and find the unitary distributing pattern and the correlativity between attributes. The experiment result indicates that it has good mining effect on processing the mixing type data. The reasonable classify will be gotten and purchasing behavior of customers will be forecasted in the electric client data analysis.