Data prediction method and system, medium and equipment

Abstract

The invention relates to a data prediction method and system, a medium and equipment. The method comprises the following steps: acquiring historical data of a plurality of different historical dates before a prediction date within a preset duration before and after a prediction moment; and predicting the data of the prediction date at the prediction moment according to each historical data and thecorresponding preset weight value. According to the method, the data of a certain date in the future is predicted by collecting a plurality of historical data and combining corresponding weights, sothat the accuracy of predicting a future trend is improved, the influence of historical abnormal data on prediction is reduced, and a prediction result tends to be smooth. The process is simple, the calculation amount is relatively small, real-time calculation can be carried out under the condition that conditions are allowed, and the requirement for the capacity of the memory is reduced.

Description

technical field [0001] The invention belongs to the field of data mining, and in particular relates to a data prediction method, system, medium and equipment. Background technique [0002] In recent years, with the rapid development of the Internet, it is more and more common for people to participate in various social activities on the Internet, and the amount of data information produced by it is also increasing, and the data that can be used to mine certain trends is also increasing. more. As an Internet operator, in order to improve the quality of network services, it is necessary to predict future user behavior in a certain procedure. [0003] The existing technology directly uses the data of a certain day in history to make predictions. The data may be seriously lacking in precision due to the serious interference of something on a certain day, which in turn affects the judgment of the data trend trend. For example, a sudden abnormal situation on a certain day caused...

AI Technical Summary

Problems solved by technology

[0003] The existing technology directly uses the data of a certain day in history to make predictions. The data may be seriously lacking in accuracy due to the serious interference of something on a certain day, which in turn affects the judgment of the data trend trend.

For example, a sudden abnormal situation on a certain day caused a great change in the data of the day. When using the data of this day for forecasting, it may produce unreliable judgments that deviate from future trends.

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