Design of Marketing Analysis System Based on Data Mining Technology

This paper designs a power marketing data analysis system based on data mining technology. Then the software and hardware of the scheme are optimized respectively. The main contents of this paper include: data collection, data mining and data processing. Then a new multi-level clustering method based on implicit Markov pattern is proposed. The method converts the time series of a time series into a likelihood space in which the likelihood value is identified by a symmetric KL distance. A symmetric KL migration matrix is constructed, and the access modes of users are divided into different levels by the idea of hierarchical clustering. Then a complete power grid enterprise information system is established, which is an important part of the power grid marketing system. Online analysis technology is used to ensure the whole logic input, so as to ensure the normal operation of the power marketing management system. The experiment shows that this method can realize the comprehensive processing of all kinds of electricity information, and will not cause large fluctuations.