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Financial data feature selection and prediction method and device, equipment and storage medium

A technology for financial data and feature selection, applied in the fields of equipment and storage media, devices, financial data feature selection and prediction methods, can solve problems such as no specific solutions are proposed, and achieve easy implementation, improved accuracy, and adjustable parameters. less effect

Active Publication Date: 2020-06-05
湖南工商大学
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] It can be seen that how to improve the accuracy and accuracy of financial data mining technology and reduce the cost of data transfer and processing, there are still many practical problems that need to be dealt with in practical applications, and no specific solutions have been proposed.

Method used

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  • Financial data feature selection and prediction method and device, equipment and storage medium
  • Financial data feature selection and prediction method and device, equipment and storage medium
  • Financial data feature selection and prediction method and device, equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0029] This embodiment provides a method for selecting and predicting financial data features, the method includes:

[0030] S101: Construct a financial data feature selection model according to financial data processing standards;

[0031] S102: Perform standardized processing on the financial data obtained from one or more data sources to obtain standardized financial data;

[0032] S103: Match the corresponding financial data feature selection model according to the standardized financial data, and perform input processing on the standardized financial data by the financial data feature selection model to obtain financial data to be modeled;

[0033] S104: Select the financial data to be modeled according to the financial data feature selection model, feature selection rules, and financial data prediction requirements to obtain a financial data prediction feature set;

[0034] S105: For at least one financial data prediction feature set, the identification is started from the first f...

Embodiment 2

[0058] This embodiment provides a method for selecting and predicting financial data features, including:

[0059] S101: Construct a financial data feature selection model according to financial data processing standards. The financial data processing standards include: financial data conversion rules: the mapping of financial data fields, the automatic matching information of each field of financial data, the splitting method of financial data fields, the conversion rule calculation of multiple financial data fields, etc.; finance; Data verification rules: the definition of verification rules for the processing of the null value of each field of financial data, the constraint definition of each financial data field, the definition of the correctness and completeness of financial data, etc.; financial data cleaning rules: the process of processing financial data Problems such as financial data ambiguity, financial data duplication, incomplete financial data, and business rules vi...

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Abstract

The invention provides a financial data feature selection method. The method comprises the following steps: constructing a financial data feature selection model; standardizing the financial data to obtain standardized financial data; matching a corresponding financial data feature selection model according to the standardized financial data, and performing input processing on the standardized financial data to obtain financial data to be modeled; selecting the financial data to be modeled according to the financial data feature selection model and a feature selection rule to obtain a financial data feature set; and predicting the current to-be-identified financial data prediction by using the financial data prediction requirements to obtain a prediction result. The method can solve the problem that when network security information data mining is carried out, whether feature selection is correct and optimal or not cannot be ensured, centralized storage in existing data mining cannot be ensured, and the cost is high during prediction and calling.

Description

Technical field [0001] The present invention relates to the technical field of data mining, in particular to a method, device, equipment and storage medium for feature selection and prediction of financial data. Background technique [0002] In the financial field, there are many types of financial data, such as stocks, futures, funds, precious metals, foreign exchange, etc., in order to be able to obtain data in the financial field in a timely and effective manner, and use financial data to perform forecasting operations and provide strategic references for user transactions In order to quantify transactions, there is an urgent need to quickly and accurately identify and process financial data, read and analyze historical financial data in real time, and form reference recommendations, thereby reducing the risk of investment transactions. [0003] It can be seen that how to improve the precision and accuracy of financial data mining technology and reduce the cost of data calling a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q40/04G06Q10/04
CPCG06Q40/04G06Q10/04
Inventor 覃业梅雷振钟阳宇
Owner 湖南工商大学
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