Automatic data statistical analysis method
A statistical analysis and data analysis technology, applied in the field of data processing, can solve problems such as small number of samples and difficulty in generating neural networks, and achieve the effect of improving the ability of analysis
Active Publication Date: 2017-10-24
江苏赛睿信息科技股份有限公司
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[0004] The number of samples is too small to generate an effective neural network;
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[0038] The preferred embodiments of the present invention will be described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.
[0039] figure 1 It is a flow chart of an automatic statistical analysis method for data in an embodiment of the present invention. Such as figure 1 As shown, the method is realized through a data input module, a data processing module, a neural network training module, and a data output module, including:
[0040] Step S101, the data input module sends the business operation data to the data processing module;
[0041] Step S102, the data processing module, including the preprocessing module and the neural network, after receiving the business operation data from the data input module, preprocessing the business operation data through the preprocessing module to o...
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The invention discloses an automatic data statistical analysis method. The automatic data statistical analysis method is implemented by data input modules, data processing modules, neural network training modules and data output modules. The automatic data statistical analysis method includes steps that enterprise operating data are transmitted to the data processing modules by the data input modules; the data processing modules comprise preprocessing modules and neural networks, the enterprise operating data are preprocessed by the preprocessing modules to obtain preprocessed enterprise operating data after the enterprise operating data transmitted by the data input modules are received, the preprocessed enterprise operating data are transmitted to the neural networks, operating data analysis results can be obtained by the neural networks and can be transmitted to the data output modules, and preprocessing includes unified classification on data categories and normalization processing on the data; the neural network training modules are used for training the neural networks; operating analysis reports can be generated and outputted according to preset modes by the data output modules after the operating data analysis results are received.
Description
technical field [0001] The invention relates to the field of data processing, in particular to an automatic statistical analysis method for data. Background technique [0002] At present, in terms of analyzing business data of enterprises, data analysts still conduct analysis and write business analysis reports. The level of business analysis reports depends heavily on the level of data analysts. Therefore, a data statistical analysis method that is not affected by the level of data analysts is needed, which can process business data and generate business analysis reports. [0003] With the popularity of deep learning, more and more fields have begun to introduce deep learning to automate tasks. However, for analyzing business data, deep learning still faces many problems. These questions include: [0004] The number of samples is too small to generate an effective neural network; [0005] The training of the neural network requires marked data, that is, the existing bu...
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IPC IPC(8): G06F17/30G06N3/08
CPCG06F16/2462G06N3/08
Inventor 邢加和
Owner 江苏赛睿信息科技股份有限公司