Data feature analysis method and device
A data feature and data analysis technology, applied in the field of data analysis, can solve the problem of ineffective analysis of data features
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Embodiment 1
[0054] refer to figure 1 , showing a flow chart of the steps of a method for analyzing data characteristics provided by an embodiment of the present application, as shown in figure 1 As shown, the analysis method of the data feature may specifically include the following steps:
[0055] Step 101: According to the preset data analysis dimension, collect the data sequence to be analyzed.
[0056] The embodiments of the present application may be applied in scenarios where data features are analyzed.
[0057] User data exhibits self-similarity on the time scale, so self-similar estimation of user data using the rescaled range method can extract data features very well. In the practical application of the rescaled range method, especially when performing data self-similarity analysis, the range is calculated based on the cumulative deviation of the sample average value, and the variable-length calculation window is used to extract sub-sample sequences to calculate the average va...
Embodiment 2
[0115] refer to figure 2 , which shows a schematic structural diagram of a device for analyzing data characteristics provided by an embodiment of the present application, as shown in figure 2 As shown, the analysis device 200 of the data feature may specifically include the following modules:
[0116] The data sequence collection module 210 is used to collect the data sequence to be analyzed according to the preset data analysis dimension;
[0117] The sub-data sequence acquisition module 220 is used to divide the data sequence to be analyzed according to the set data size to obtain multiple sub-data sequences;
[0118] The rescaled range calculation module 230 is used to calculate the rescaled ranges of the multiple sub-data sequences according to the cumulative deviation time series corresponding to the multiple sub-data sequences;
[0119] The data analysis result determination module 240 is configured to determine the data analysis result corresponding to the data sequ...
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