Security customer loss prediction method and system based on Logistic regression

A logistic regression and customer churn technology, applied in the securities field, can solve problems such as inability to accurately and objectively predict securities customer churn

Inactive Publication Date: 2017-09-26
上海吉贝克信息技术有限公司
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Problems solved by technology

[0005] In view of the shortcomings of the prior art described above, the purpose of the present invention is to provide a method and system for predicting the loss of securities customers based on Logistic regression, which is used to solve the problem that the loss of securities customers cannot be accurately and objectively predicted in the prior art

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  • Security customer loss prediction method and system based on Logistic regression
  • Security customer loss prediction method and system based on Logistic regression
  • Security customer loss prediction method and system based on Logistic regression

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[0030] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, in the case of no conflict, the following embodiments and features in the embodiments can be combined with each other.

[0031] It should be noted that the diagrams provided in the following embodiments are only schematically illustrating the basic ideas of the present invention, and only the components related to the present invention are shown in the diagrams rather than the number, shape and number of componen...

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Abstract

The invention provides a security customer loss prediction method and system based on Logistic regression, and the method comprises the steps: determining a customer loss index and a data range; screening the customer data according to the customer loss index and the data range; calculating the initial variable according to the screened customer data; carrying out the preprocessing of the initial variable; carrying out the prediction calculation of the customer loss according to the preprocessed initial variable through a Logistic regression model, so as to obtain a customer list with the loss probability being greater than a preset loss probability threshold value. The method achieves the objective analysis of the selected customer data through the Logistic regression model, so as to accurately and objectively predict the customer loss.

Description

technical field [0001] The invention relates to the field of securities, in particular to a method and system for predicting the loss of securities customers based on Logistic regression. Background technique [0002] In recent years, most of the large securities companies have achieved large-scale centralized or regional centralized transactions. To a certain extent, large-scale data centralization can reduce costs and strengthen risk management for securities companies. However, how to increase profit margins centered on customer service? Issues such as better marketing, how to carry out product innovation, and how to carry out comprehensive risk management cannot be directly solved through data concentration. And these problems are the main problems that securities companies must face in order to survive and gain competitive advantage in the transition period. Among them, customer loss is a common business problem faced by the securities industry, especially when the cur...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q40/04
CPCG06Q10/04G06Q40/04
Inventor 李华明蔡学范李蔚敏王雪峰
Owner 上海吉贝克信息技术有限公司
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