Data processing method and device, storage medium and electronic equipment

Abstract

The embodiment of the invention discloses a data processing method and device, a storage medium and electronic equipment. According to the embodiment of the invention, the terminal use data corresponding to the preset scene category can be obtained, and the terminal use data comprises a plurality of data types; and according to a preset regression algorithm and terminal use data, the correlation degree between the multiple data types and the preset scene category is calculated, then the sampling parameters corresponding to the preset scene category are adjusted according to the correlation degree. Through the scheme, the sampling parameters of all the data types in the preset scene are determined according to the correlation degree through correlation degree analysis between the data typesand the scene category. By means of the scheme, targeted sampling parameters can be obtained for different scene categories, then data can be collected according to the sampling parameters corresponding to the data when the data of the specific scene category is analyzed, the scale of the collected data can be reduced, and targeted data collection is achieved.

Description

technical field [0001] The present application relates to the technical field of data processing, and in particular to a data processing method, device, storage medium and electronic equipment. Background technique [0002] As a terminal manufacturer, it is often necessary to analyze the behavior habits and status of end users in specific scenarios, so it is necessary to collect end user data for analysis. For example, to analyze the rules and trends of user data in a conference scene, it is necessary to obtain usage data of user terminals in a conference scene, and extract features from it for analysis. [0003] However, in the schemes related to feature extraction, data is mostly collected according to the same sampling parameters for all scene categories, for example, for all scene categories, all types of terminal usage data are obtained according to the same sampling frequency. However, in practical applications, users use different data types under different scene cat...

AI Technical Summary

Problems solved by technology

At the same time, for different scene categories, even if the terminal uses the same type of data, the frequency of data collection required is also different.

For example, although the terminal needs to use GPS (Global Positioning System, Global Positioning System) data in both the running scene and the office scene, when analyzing the data in these two scenarios, the sampling frequency and Sampling accuracy varies

If the existing data collection plan is followed, not only the collected data is large in scale, but also the collected data is not targeted, resulting in low accuracy of analysis conclusions

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