Data prediction method and system

A data prediction and data technology, applied in the computer field, can solve problems such as the relatively large limitations of data prediction schemes

Inactive Publication Date: 2017-08-04
北京百分点科技集团股份有限公司
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The main purpose of this application is to provide a data prediction method and its system to solve the problem of relatively large limitations on data prediction schemes in the prior art

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  • Data prediction method and system

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Embodiment Construction

[0025] The invention relates to an intelligent technology for predicting the future sales volume of commodities on an e-commerce platform. In particular, the integration of multiple data sources to predict the medium and long-term sales of commodities not only makes full use of the information in the multi-source data that can predict future sales, but also tries to filter out a lot of noise information. The present invention can significantly improve the accuracy of sales forecast by adopting an efficient integrated learning algorithm xgboost. The invention can provide the interpretability of the analysis results, help to understand the sales dynamics of commodities deeply, and formulate effective purchase-sale-stock countermeasures.

[0026] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in conjunction with specific embodiments...

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Abstract

The invention discloses a data prediction method and system. The data prediction method comprises the steps of acquiring data information of a single service through a database, wherein the data information comprises a multi-dimensional characteristic variable; performing data screening on the multi-dimensional characteristic variable by combining an Akaike information criterion (AIC) value and a Bayesian information criterion (BIC) value according to a multivariate regression method, and filtering data noise; and importing the data screened characteristic variable into a machine learning model, and performing modeling analysis on the data. The accuracy of data prediction is effectively improved according to the data prediction method and system.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a data prediction method and system thereof. Background technique [0002] At present, the forecasting of commodity sales by e-commerce is generally based on historical sales data, using experience-based expert forecasting methods, time series forecasting methods and multiple regression forecasting algorithms. The above commonly used methods have certain limitations in data and algorithms, such as only using historical sales data to predict the future, and failing to cover more predictive external data variables. With the rapid development of e-commerce, sales forecasting can provide very valuable guidance for the back-end operations of e-commerce platforms, but there is always room for improvement in the accuracy of sales forecasting. [0003] Among the existing technologies for forecasting sales, although the expert method is simple and easy to implement, it is rel...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06K9/62
CPCG06Q30/0202G06F18/24
Inventor 刘钰高体伟杜晓梦苏海波金英
Owner 北京百分点科技集团股份有限公司
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