Digital Management of Power Marketing Customer Archives Based on Mining Technology
The poor archives processing ability of the current power marketing customer archives digital management method,may lead to the problem of low reliability in the classification of power marketing customer archives categories.Therefore,this paper designs a power marketing customer archives digital management system based on data mining technology.This paper use OCR technology to complete the digital processing of archives,and compensate for abnormalities in the processing process.This paper also use grey clustering techniques to control the quality of digital archives.The Bayesian classification method is used to classify the information in the digital archives.The design of digital management method of electric power marketing customer archives is then completed based on data mining technology.This paper construct the experimental link to analyze the application effect of this method.The results of multiple rounds of experiments show that this method can effectively improve the quality of digital archives processing and the reliability of digital file classification.Under the existing archives management level,the division and collection of high-quality data are realized,and the use effect of various marketing data is consistent.
data mining technologypower marketingarchive managementdigital managementB/C architecture
万方数据
维普
