Data quality evaluation method and device, electronic equipment and storage medium

Abstract

The embodiment of the invention provides a data quality assessment method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring spatio-temporal trajectory data to be assessed; according to a preset quality evaluation algorithm, processing the spatial-temporal trajectory data to obtain an evaluation result corresponding to each evaluation dimension, the evaluation dimensions including a stability dimension and an accuracy dimension; based on a preset quality condition corresponding to each evaluation dimension, determining an evaluation result which does not meet the corresponding quality condition, and determining the evaluation dimension corresponding to the evaluation result as a low-quality dimension; and performing quality improvement processing on the spatio-temporal trajectory data by adopting a preset processing mode corresponding to the low-quality dimension to obtain processed spatio-temporal trajectory data. According to the scheme provided by the embodiment of the invention, the quality condition of the spatio-temporal trajectory data can be evaluated from multiple evaluation dimensions, and the low-quality dimensions in the spatio-temporal trajectory data can be subjected to quality improvement processing, so that the quality of the spatio-temporal trajectory data is improved.

Description

technical field [0001] The invention relates to the technical field of data mining, in particular to a data quality evaluation method, device, electronic equipment and storage medium. Background technique [0002] Quality is the degree to which some inherent attributes of an event can meet its requirements. Currently, the measurement standard of data quality is a comprehensive concept with multiple attributes. Data quality is the degree to which data meets the use requirements. In the context of big data, the quality of data determines the value of data, which in turn affects people's analysis and decision-making. The impact of poor data has always been an important issue faced by various fields, major research institutions and even enterprises. [0003] Especially for the spatio-temporal trajectory data such as the trajectory points of people, vehicles and other objects that are collected by sensors such as GPS (Global Positioning System, Global Positioning System) over ti...

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Problems solved by technology

[0003] Especially for the spatio-temporal trajectory data such as the trajectory points of people, vehicles and other objects that are collected by sensors such as GPS (Global Positioning System, Global Positioning System) over time, the quality of the data will directly affect the accuracy of the trajectory. Affects the accuracy of subsequent behavioral analysis and abnormal event detection based on spatio-temporal trajectories. Therefore, an evaluation method that can accurately determine data quality is needed

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