Lottery user churn prediction method based on multi-dimensional data and system thereof

A multi-dimensional data and user churn technology, applied in data processing applications, special data processing applications, forecasting, etc., can solve problems such as difficult interpretation, high computing power requirements, and lost users.

Inactive Publication Date: 2017-08-01
云数信息科技(深圳)有限公司
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

Compared with other commonly used data mining techniques, the neural network has a good predictive ability for the prediction of lost us

Method used

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  • Lottery user churn prediction method based on multi-dimensional data and system thereof
  • Lottery user churn prediction method based on multi-dimensional data and system thereof
  • Lottery user churn prediction method based on multi-dimensional data and system thereof

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Embodiment Construction

[0039] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention.

[0040] It should be noted that the "lottery" in the embodiment of the present invention only specifically refers to a legalized game form that conforms to government operations.

[0041] see figure 1 , is a structural diagram of an embodiment of the method for predicting lottery user churn based on multi-dimensional data provided by the present invention.

[0042] In this embodiment, the method for predicting the loss of lottery users based on multi-dimensional data mainly includes the following steps S1-S7:

[0043] Step S1: collect the original user data, extract and convert the original user data, and load them into the database in a specified format.

[0044] During specific implementation, when the step S1 collects the original user data, extracts and converts the origi...

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Abstract

The invention provides a lottery user churn prediction method based on multi-dimensional data. The method comprises the steps that original user data are collected; the original user data are extracted and converted, and are classified and loaded to a database in a specified format; preprocessed multi-dimensional user data are iteratively tested to extract potential features related to user churn to acquire a feature set; the feature set is divided into training set, a verification set and a test set based on time dimension; logistic regression modeling is carried out based on the training set to acquire multiple sets of prediction models; the verification set is input into the prediction models; the prediction model with the highest accuracy is used as the final user churn evaluation model; and the test set is input into the user churn evaluation model to predict the user churn situation. The invention further provides a lottery user churn prediction system based on multi-dimensional data. According to the technical scheme provided by the invention, the prediction difficulty can be reduced, and the prediction accuracy is improved.

Description

technical field [0001] The invention relates to the technical field of data mining, in particular to a method and system for predicting the loss of lottery users based on multi-dimensional data. Background technique [0002] In my country and some other countries, lottery is a form of legalized game operated by the government, usually based on a combination of numbers selected by players from a predetermined range of numbers, the combination of selected numbers combined with the total number of numbers selected for a specific game Determine the odds of winning the game. The lottery player can show the user's number selection by filling in the corresponding space on the form such as a lottery ticket, or be randomly selected by the lottery sales device. The number selection on the lottery ticket is then read out by the lottery sales device, and the winning numbers for the lottery game are then usually determined by random drawing. [0003] Because the benefits of such lottery...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/34G06F17/30
CPCG06Q10/04G06F16/254G06Q50/34
Inventor 谭浩宇韩旭宋骁程
Owner 云数信息科技(深圳)有限公司
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