Data enhancement method, system and equipment and computer readable storage medium

A storage medium and data technology, applied in the field of data processing, can solve the problems of affecting the effect of data processing and reducing the accuracy of model prediction, and achieve the effect of avoiding concept drift and ensuring accuracy

Active Publication Date: 2021-12-24
INSPUR SUZHOU INTELLIGENT TECH CO LTD
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, as time goes by, the distribution of data streams will change unpredictably over time, that is, concept drift phenomenon, which will reduce the prediction accuracy of the model and affect the subsequent data processing effect

Method used

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  • Data enhancement method, system and equipment and computer readable storage medium
  • Data enhancement method, system and equipment and computer readable storage medium
  • Data enhancement method, system and equipment and computer readable storage medium

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Embodiment Construction

[0052] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0053] see figure 1 , figure 1 It is a flow chart of a data enhancement method provided by the embodiment of this application.

[0054] A data enhancement method provided in an embodiment of the present application may include the following steps:

[0055] Step S101: Determine whether concept drift occurs in the current data enhancement method; if concept drift occurs in the current data enhancement method, execute step S102.

[0056] Step S102: Generate a target data augmentatio...

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Abstract

The invention discloses a data enhancement method, system and device and a computer readable storage medium. The method comprises the steps: determining whether concept drift occurs in a current data enhancement method or not; if the current data enhancement method generates concept drift, generating a target data enhancement method; judging whether the target data enhancement method meets a data enhancement performance index or not; and if the target data enhancement method meets the data enhancement performance index, performing data enhancement on the online data based on the target data enhancement method to obtain target data. According to the data enhancement method, the target data enhancement method can be generated after the current data enhancement method generates concept drift, and the target data enhancement method is applied to perform data enhancement on the online data after the target data enhancement method meets the data enhancement performance index, so that the data enhancement method for updating the online data in real time is realized; therefore, the concept drift phenomenon can be avoided, and the accuracy of data enhancement is ensured.

Description

technical field [0001] The present application relates to the technical field of data processing, and more specifically, to a data enhancement method, system, device, and computer-readable storage medium. Background technique [0002] In deep learning, data can affect the upper limit of the deep learning model. The larger the data scale and the higher the data quality, the better the performance of the deep learning model obtained from data training. However, in practical applications, there are small and unbalanced data. , In the case of over-fitting of the deep learning module, in order to avoid these situations, the data scale can be expanded through data enhancement methods. [0003] The data enhancement method refers to expanding the training data similar to the real data through the transformation method while keeping the labels consistent, that is, for a sample, new data is generated through the transformation function, and the old and new data have the same data labe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/214
Inventor 刘宏刚李峰刘红丽
Owner INSPUR SUZHOU INTELLIGENT TECH CO LTD
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