Anomaly Recognition Method for Power Marketing Data Based on Improved Collaborative Filtering Algorithm
Aiming at the problem that the existing identification methods cannot realize the identification of power marketing data anomalies and the accuracy of identification is low,this paper introduces the improved collaborative filtering algorithm to carry out the research on the design of the identification method of power marketing data anomalies.Through the operation of improved collaborative filtering algorithm,the power marketing data dissimilarity metric is realized;according to the metric results,the abnormal features of power marketing data are extracted;combined with the association rules,the data anomaly identification and output are completed.Through comparison experiments,it is proved that the new identification method has high application feasibility and can realize high accuracy identification of power marketing data anomalies in the application,which has high application value.
improved collaborative filtering algorithmpower marketinganomaly data identificationpower data
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