Research on data mining technology in power marketing system
AbstractThis article starts with the importance of electric power marketing
systems, introduces the technical characteristics of data mining and its
application status in electric power marketing systems, thereby
providing decision-making basis for the economic operation of power
grids. And propose using C5.0 decision tree algorithm to deeply analyze
the marketing data of the electric power marketing management system.
The original C5.0 decision tree algorithm is improved by introducing
information entropy, which improves its classification speed and
accuracy. Experimental results on UCI machine learning dataset and power
marketing dataset show that the proposed improved C5.0 decision tree
algorithm has good classification performance and can meet the
classification and prediction requirements in power marketing work.