Abstract
The electric power consumer positioning analysis is a very important aspect of the electric power consumer relationship management, and the decision tree is a usual tool to implement classification analysis. Based on the segmentation of electric power consumers, this article mainly discusses how to construct the decision tree of electric power consumer positioning by ID3 algorithm, introduce this concrete operation process, and accordingly offers technical supports for the electric power marketing department to better hold consumer characters and implement individual services.
Highlights
IntroductionConsumer positioning analysis and developing potential consumers are very important
For electric power companies, consumer positioning analysis and developing potential consumers are very important
(4) Continually construct the down class of the decision tree according to step (3) until all sample subsets have only one class, which indicates the entropy of the system is zero, and the construction process of the decision tree ends
Summary
Consumer positioning analysis and developing potential consumers are very important. We divide electric power consumers into four classes, i.e. important consumer, risk consumer, developmental consumer and common consumer, and different classified consumers need different marketing strategies. Those important consumers with good credits will acquire more and better services, but for those risk consumers with bad credits, we should adopt certain risk prevention measures. One scientific and quick method is to apply decision tree, mine consumer data in virtue of computer and make objective positioning analysis for the consumer. We will discuss how to apply the ID3 algorithm to construct the decision tree of electric power consumer positioning and introduce this concrete operation process
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