Multivariate linear regression analysis method and system based on big data

Abstract

The invention discloses a multivariate linear regression analysis method and a multivariate linear regression analysis system based on big data, belongs to the field of multivariate regression analysis algorithms, and aims to solve the problems that influences caused by user portrait feature changes cannot be known, selection cannot be carried out according to the user portrait features adopted bythe influences, and comprehensive analysis cannot be carried out on the big data. Based on big data, a user portrait is obtained in real time, and user portrait characteristics are obtained; Based onthe user portraits in the two adjacent stages, the conversion rate of the user portraits is calculated from the previous stage to the next stage; a multivariate linear regression model is establishedbased on a multivariate regression analysis algorithm, all user portrait features obtained in real time and corresponding conversion rates; And based on the established multivariate linear regressionmodel, the conversion rate of the to-be-calculated user portrait features is calculated in the previous stage to the next stage. The method is used for carrying out multivariate linear regression analysis on big data to obtain a current analysis result.

Description

technical field [0001] A multiple linear regression analysis method and system based on big data is used to perform multiple linear regression analysis on big data to obtain current analysis results, and belongs to the field of multiple regression analysis algorithms. Background technique [0002] Most of the existing big data in the industry is a collection of massive unstructured data. Through real-time analysis of it, it can provide the Internet industry with comprehensive information on users, and accurately predict user behavior by analyzing and mining user behavior habits. [0003] The key to big data is the ability to quickly obtain useful information from large amounts of data, or the ability to quickly realize and utilize big data assets. [0004] Regression analysis: The regression analysis method is to examine the dependence relationship between one or more variables (dependent variables) and the remaining variables (independent variables) according to practical p...

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Problems solved by technology

[0009] In view of the above-mentioned research problems, the purpose of the present invention is to provide a multiple linear regression analysis method based on big data, which solves the problem that the analysis data in the prior art is relatively single, and the interface can only be analyzed when the interface is called, and the characteristics of the user portrait cannot be known. The impact of the changes, it is also impossible to select according to the characteristics of the user portraits that affect the adoption, and it is impossible to conduct a comprehensive analysis of big data

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