Statistics model self-defining and recommending method based on database system

The invention discloses a statistical model customizing and recommending method based on a database system. The method comprises the following steps of 1, customizing a single statistical regression model; 2, storage management of expressions, related parameters and results of the statistical regres...

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Hauptverfasser: SONG WENJIE, MA RUI, HUANG TAO, CHEN XU, TAO LEI, YE FANGYI, LI FANGYI, LIAO DONGXIAO, XU JUN, FU XIUJUN, JIANG BIN, TAO WEI, CHEN LIN, XU ZHIMIN, HU BINBIN, XU RUI, LIU BING, MA NENGWU, ZHANG LI
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creator SONG WENJIE
MA RUI
HUANG TAO
CHEN XU
TAO LEI
YE FANGYI
LI FANGYI
LIAO DONGXIAO
XU JUN
FU XIUJUN
JIANG BIN
TAO WEI
CHEN LIN
XU ZHIMIN
HU BINBIN
XU RUI
LIU BING
MA NENGWU
ZHANG LI
description The invention discloses a statistical model customizing and recommending method based on a database system. The method comprises the following steps of 1, customizing a single statistical regression model; 2, storage management of expressions, related parameters and results of the statistical regression model is carried out in a database system; and 3, automatically recommending the statistical regression model by using the statistical regression model record stored and managed in the database system. The problem that in the prior art, the requirement for a user is high is solved, and the problems that in an existing safety monitoring model analysis technology, if influence factors need to be selected again to construct an analysis model, a program needs to be written again, and the self-definition degree is not high enough are solved; the method has the advantages that the requirements of non-professionals for model analysis are met, technicians are allowed to customize statistical models according to own mo
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subjects CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
title Statistics model self-defining and recommending method based on database system
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