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Time sequence-based missing data supplementing method and system

A time series and missing data technology, applied in data processing applications, electrical digital data processing, special data processing applications, etc., can solve problems such as data delays that cannot provide all historical data

Inactive Publication Date: 2018-04-20
北京众荟信息技术股份有限公司
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Problems solved by technology

[0004] Aiming at the technical problem that hotels cannot provide all historical data or have data delays, the purpose of the present invention is to provide a method and system for supplementing missing data based on time series to assist hotels in decision-making

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  • Time sequence-based missing data supplementing method and system
  • Time sequence-based missing data supplementing method and system
  • Time sequence-based missing data supplementing method and system

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Embodiment Construction

[0038] The present invention is further illustrated below by means of examples, but the present invention is not limited to the scope of the examples.

[0039] The method process of the present invention is as figure 2As shown, first the data acquisition and processing module acquires the historical data required by the base model, and performs feature extraction on the historical data at each time point in the historical data and generates a data column of the historical data at the corresponding time point; the time point To constitute the time unit of the time series; then the base model development module builds a base model according to the data columns of the historical data and the data columns of the data to be predicted, and is used to fit the data and then reach the regression prediction; the base model is B( k)=(X T X+kI) -1 x T Y; where, X is the data column of the historical data corresponding to a time point, Y is the data column of the data to be predicted; ...

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Abstract

The invention discloses a time sequence-based missing data supplementing method and system. The method comprises the following steps of: 1) obtaining history data required by a basic model by a data obtaining and processing module, carrying out feature extraction on history data of each time point in the history data, and generating data columns corresponding to the history data of the time points, wherein the time points are time units for forming a time sequence; 2) constructing the basic model by a basic model development module according to the data columns of the history data and a data column of to-be-predicted data, so as to carry out fitting on the data to achieve regression prediction, wherein the basic model is B(k)=(XTX+kI)-1XTY; and 3) training the basic model by utilizing thedata columns of the history data and carrying out prediction supplementation on the data column of the to-be-predicted data by using the trained basic model. According to the method and system, required data can be automatically supplemented in a precision range required by businesses, so as to achieve the aim of advanced prediction.

Description

technical field [0001] The invention belongs to a method and system for supplementing missing data of hotels based on time series, and belongs to the technical field of computer software. Background technique [0002] In existing technical schemes, the data used for hotel forecasting is usually required to be a complete time series without delay or missing in the middle, so as to ensure the accuracy of the forecast results. In fact, due to the limitations of many factors such as data processing technology (data storage, collection, processing, conversion), data transmission, and data transfer (inter-enterprise or inter-departmental), the data obtained by data miners will be more or less limited to a certain extent. delay or absence. For example, Hotel A has one day less data available for production than the model needs for some reason. However, if these incomplete data are directly used for modeling, for the model itself, the impact may be that the model is unstable or th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q10/04G06Q50/12
CPCG06Q10/04G06Q50/12G06F16/215G06F16/2474
Inventor 许海军戴宇超暴筱林小俊
Owner 北京众荟信息技术股份有限公司
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