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Data prediction method and device based on model training

A technology of data forecasting and model training, applied in the field of data analysis, can solve problems such as loss of profits of enterprises, limitations of a single method, and decline in accuracy rate, and achieve the effect of improving reliability

Pending Publication Date: 2022-01-14
SHENZHEN COMTOP INFORMATION TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, traditional data analysis generally can only accurately predict and analyze linearly related or functionally related data, and the method is single and limited.
In the face of the massive data that is dynamically changing in the development of enterprises, traditional data analysis often cannot meet their dynamic analysis needs, resulting in a decrease in the accuracy rate when predicting the future needs of users, causing enterprises to lose profits

Method used

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  • Data prediction method and device based on model training
  • Data prediction method and device based on model training
  • Data prediction method and device based on model training

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0065] See figure 1 , figure 1 It is a flow chart of a data prediction method based on model training according to an embodiment of the present invention. in, figure 1 The description-based training-based data prediction method can be applied to different business sectors in the enterprise, which can be at least one of Internet, e-commerce, financial insurance, biomedicure, manufacturing, catering, sports entertainment, traffic logistics, etc. . Specifically, it can be applied to the strategic planning in the strategic planning department of the company, and can also be applied to the company's marketing department to investigate users' enthusiasm for enterprise products. (, Such as: collecting customer information and corresponding purchase product information, analyzing the preference of the current customer to predict the item to be estimated). Optional, the data analysis can be an enterprise operation management process data analysis, task management and plan management data a...

Embodiment 2

[0082] See figure 2 , figure 2 It is a flow chart of a data prediction method based on model training according to an embodiment of the present invention. in, figure 2 The description-based training-based data prediction method can be applied to different business sectors in the enterprise, which can be at least one of Internet, e-commerce, financial insurance, biomedicure, manufacturing, catering, sports entertainment, traffic logistics, etc. . Specifically, it can be applied to the strategic planning in the strategic planning department of the company, and can also be applied to the company's marketing department to investigate users' enthusiasm for enterprise products. Optional, the data analysis can be an enterprise operation management process data analysis, task management and plan management data analysis, organizational efficiency data analysis, process optimization, value output data analysis, industry research data analysis, product test data analysis, channel data Analy...

Embodiment 3

[0117] See image 3 , image 3 It is a schematic structural diagram of a model-based data prediction device disclosed in the embodiment of the present invention. in, image 3 The described device is used to implement data analysis requirements for different business processes in the enterprise. Optional, the model-based training-based data prediction device can be integrated in the data analysis device, or a local local area for data analysis flows. Servers or cloud servers, etc., the examples of the present invention are not limited. like image 3 As shown, the model-based training data prediction device can include:

[0118] The data receiving module 301 is configured to receive information transmitted by the data end transmitted with the data analysis system to establish a communication connection; the information of the first data set is transmitted by the data end for the first data filtering operation of the basic data, The first data set includes a preset number of data, inform...

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Abstract

The invention discloses a data prediction method and device based on model training. The method comprises the steps that a data analysis system receives information of a first data set sent by a data end which establishes communication connection with the data analysis system; the data analysis system performs first data preprocessing operation on the first data set to obtain a preprocessing result of the first data set; and the data analysis system performs algorithm configuration on a pre-determined training model according to the preprocessing result of the first data set, and performs training operation on the training model according to the algorithm configuration to obtain a data prediction model. It can be seen that by means of the method and device, data prediction can be conducted on a large amount of data in the static mode and the dynamic mode through model training in a cross-system mode, the data prediction result is visually displayed, the data prediction result can be evaluated more visually, and the accuracy rate during data prediction can be improved.

Description

Technical field [0001] The present invention relates to the field of data analysis, and more particularly to a data prediction method and apparatus based on model training. Background technique [0002] With the rapid development of the big data era, the big data analysis plays an important role in the development of enterprises. By efficient big data analysis, the company can not only learn more about the personalized demand of users, providing users with personalized information push, Thus, the optimization of the product is also able to make a corresponding response strategy before the risk is coming, thereby enhancing the safety production of the entire enterprise. [0003] Currently, traditional data analysis is generally only possible to accurately predict analysis of linearly related or functional data, and the method is single and limiting. In a massive data in a dynamic change in the development of enterprise development, traditional data analysis is often unable to meet...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V10/774G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/23213G06F18/214
Inventor 李小芬赵铭易文峰杨育杨正刚吴兰兰
Owner SHENZHEN COMTOP INFORMATION TECH
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