Method and device for data prediction based on time sequence

Abstract

The embodiment of the application provides a method and device for data prediction based on a time sequence. The method includes the following steps: obtaining historical time sequence data of a plurality of category objects, wherein the category objects include one or more data objects; screening the plurality of category objects to obtain feature category objects, the feature category objects being category objects containing feature data objects, and feature data objects being data objects whose life cycles are smaller than a preset time threshold value; and based on the historical time sequence data corresponding to the feature category objects, forecasting target data objects from the data objects contained in the feature category objects, the target data objects being data objects by which future time sequence data generated within a future first preset time period satisfy a preset growth trend. The method can forecast target data objects having explosive power in the near future according to the principle of time sequence data, so that a forecasting result better coincides with reality, and the accuracy rate is higher.

Description

technical field [0001] The present application relates to the technical field of data processing, in particular to a time series-based data prediction method and a time series-based data prediction device. Background technique [0002] With the development of information technology, the layout of rural areas has become a very important aspect of the strategic layout of more and more e-commerce platforms: to let goods go out through e-commerce platforms and to let outside goods enter the countryside. Among rural products, most of them are commodities with high timeliness or seasonal requirements, and even the shelf life is quite short, such as seafood, fresh vegetables and fruits. Such commodities can be called time-sensitive commodities. Time-sensitive commodities refer to commodities with a certain consumption timeliness and a very short shelf life. [0003] In practice, although the demand for time-sensitive commodities is huge, the challenges to e-commerce platforms and ...

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Problems solved by technology

[0004] (1) If there are too many warehouses, it will cause excessive logistics pressure, and because of the short shelf life of this type of goods, it is easy to cause huge waste;

[0005] (2) If miscalculation causes insufficient storage, it will cause huge market waste

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