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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

Pending Publication Date: 2021-06-15
北京明朝万达科技股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present application provides a data feature analysis method and device to solve the problem that the data feature cannot be effectively analyzed in the prior art

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  • Data feature analysis method and device

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Experimental program
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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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Abstract

The invention discloses a data feature analysis method and device. The method comprises the steps of collecting a to-be-analyzed data sequence according to a preset data analysis dimension; dividing the to-be-analyzed data sequence according to a set data size to obtain a plurality of sub-data sequences; according to the cumulative deviation time sequence corresponding to the plurality of sub-data sequences, calculating to obtain a remark range of the plurality of sub-data sequences; and determining a data analysis result corresponding to the to-be-analyzed data sequence according to the remarking range. The problem that a traditional mode is limited to data dimension feature extraction and a self-similarity universality algorithm in user data feature analysis can be solved.

Description

technical field [0001] The present application relates to the technical field of data analysis, in particular to a method and device for analyzing data characteristics. Background technique [0002] Today, with the rapid development of the Internet, the analysis of user data characteristics can make a reasonable evaluation of user behavior and rationally allocate user resources. The adaptive system can improve the universality and long-term applicability of data analysis. [0003] An adaptive system is a control system that modifies its properties to accommodate changes in the dynamic characteristics of objects and disturbances. The adaptive control method can achieve: in the system operation, relying on the continuous collection of control process information, determine the current actual working state of the controlled object, optimize the performance criteria, generate adaptive control rules, and adjust the controller structure or parameters in real time. Make the system...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/18G06F16/9535
CPCG06F17/18G06F16/9535
Inventor 李源赵晶喻波王志海安鹏
Owner 北京明朝万达科技股份有限公司