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Pre-estimating method and device based on missing data

A technology of missing data and data, applied in the field of data processing, can solve problems such as deviation and estimated result deviation

Active Publication Date: 2017-05-10
BEIJING QIYI CENTURY SCI & TECH CO LTD
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  • Claims
  • Application Information

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Problems solved by technology

[0007] In the first existing estimation method based on missing data, when there are fewer historical data after the last missing historical data, there will be deviations in the estimation based on the historical data after the last missing historical data; In the second estimation method based on missing data, interpolation is directly performed on each missing historical data. When there are many missing historical data in the historical data collected within the preset time period, the estimation results will have serious problems. deviation phenomenon

Method used

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Embodiment Construction

[0076] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0077] In order to achieve the purpose of the above invention, the embodiment of the present invention discloses a prediction method based on missing data, such as figure 1 as shown, figure 1 It is a flow chart of an estimation method based on missing data in an embodiment of the present invention, and the method includes:

[0078] S101, acquiring all historical data collected within a preset time period;

[0079] Specifically, a preset time is set as requir...

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Abstract

The embodiment of the invention discloses a pre-estimating method and device based on missing data. The pre-estimating method comprises the steps of obtaining all historic data collected within a preset period of time; dividing all the historic data within the preset period of time into M sub-periods of time; selecting an unselected sub-period of time from all the sub-periods of time as a current sub-period of time; calculating the missing density of missing historic data in the current sub-period of time; judging whether the missing density of the missing historic data in the current sub-period of time is larger than a preset threshold value or not; if not, selecting an unselected sub-period of time in all the sub-period of time as the current sub-period of time again; if yes, determining to-be-truncated data meeting preset truncation conditions in the current sub-period of time; according to the time order, at least truncating all data before the to-be-truncated data; according to remaining historic data in all the historic data, performing pre-estimating. According to the method and device, the phenomenon of deviations of a pre-estimating result can be effectively improved.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a method and device for estimation based on missing data. Background technique [0002] At present, the Internet has become an important way for people to obtain information. With the continuous increase of network data, data mining and analysis are getting more and more attention. Among them, data analysis is a kind of business information processing technology, which has been widely used in the fields of banking, telecommunications, insurance, transportation and retail. By extracting, transforming, analyzing, and modeling a large amount of data, it is possible to predict the trend of data generated by a certain business in a certain period of time in the future. [0003] Time series analysis is a statistical method for dynamic data processing. This method is based on the random process theory and mathematical statistics method to study the statistical laws obe...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/2474
Inventor 吴健君刘少华
Owner BEIJING QIYI CENTURY SCI & TECH CO LTD
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