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Population attribute value calculation method and device, storage medium and electronic equipment

A technology of population attributes and calculation methods, applied in the field of artificial intelligence, capable of solving problems such as undiscovered solutions, mean method impact, impact, etc.

Pending Publication Date: 2021-07-06
BEIJING MININGLAMP SOFTWARE SYST CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are differences in the data quality of the data from different data sources. If the data quality of different data sources is not considered when doing the normalization algorithm, the information brought by the poor-quality data will be incorporated into the final result. In addition, the simple mean The method is easily affected by extreme values. If the data of a certain data source deviates greatly, the data from this data source will greatly affect the final result.
[0004] For the above-mentioned problems existing in related technologies, no effective solution has been found yet

Method used

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  • Population attribute value calculation method and device, storage medium and electronic equipment
  • Population attribute value calculation method and device, storage medium and electronic equipment
  • Population attribute value calculation method and device, storage medium and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0039] The method embodiment provided in Embodiment 1 of the present application may be executed in a server, a computer, a mobile phone, or a similar computing device. Take running on the server as an example, figure 1 It is a block diagram of the hardware structure of a server in the embodiment of the present invention. Such as figure 1 As shown, the server can include one or more ( figure 1 Only one is shown in ) processor 102 (processor 102 may include but not limited to processing devices such as microprocessor MCU or programmable logic device FPGA) and memory 104 for storing data. Optionally, the above-mentioned server can also be A transmission device 106 for communication functions and an input and output device 108 are included. Those of ordinary skill in the art can understand that, figure 1 The shown structure is only for illustration, and it does not limit the structure of the above server. For example, the server may also include figure 1 more or fewer compo...

Embodiment 2

[0081] In this embodiment, a device for calculating population attribute values ​​is also provided, which is used to implement the above embodiments and preferred implementation modes, and what has been explained will not be repeated. As used below, the term "module" may be a combination of software and / or hardware that realizes a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementations in hardware, or a combination of software and hardware are also possible and contemplated.

[0082] Figure 4 is a structural block diagram of a calculation device for population attribute values ​​according to an embodiment of the present invention, such as Figure 4 As shown, the device includes: an analysis module 40, a first calculation module 42, and a second calculation module 44, wherein,

[0083] Parsing module 40, for parsing the attribute category of target population attribute;

[0084] The first ca...

Embodiment 3

[0097] An embodiment of the present invention also provides a storage medium, in which a computer program is stored, wherein the computer program is set to execute the steps in any one of the above method embodiments when running.

[0098] Optionally, in this embodiment, the above-mentioned storage medium may be configured to store a computer program for performing the following steps:

[0099] S1, analyzing the attribute category of the target population attribute;

[0100] S2, calculating weight coefficients of multiple data sources of the target population attribute of the same object based on the attribute category;

[0101] S3. Calculate a normalized value of the target population attribute according to the weight coefficient and the attribute values ​​of the target population attribute in the multiple data sources.

[0102] Optionally, in this embodiment, the above-mentioned storage medium may include but not limited to: U disk, read-only memory (Read-Only Memory, ROM f...

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Abstract

The invention discloses a population attribute value calculation method and device, a storage medium and electronic equipment, and belongs to the field of artificial intelligence. The method comprises the following steps: analyzing an attribute category of a target population attribute; calculating weight coefficients of a plurality of data sources of the target population attribute of the same object based on the attribute category; and calculating a normalized value of the target population attribute according to the weight coefficient and the attribute values of the target population attribute in the plurality of data sources. Through the method and the device, the influence of the deviation value and the extreme value on the actual attribute value can be weakened, the technical problem that the population attribute value acquired across data sources in the related technology is inaccurate is solved, and the accuracy of the population attribute value is improved.

Description

technical field [0001] The present invention relates to the field of artificial intelligence, in particular, to a calculation method and device, a storage medium, and an electronic device for population attribute values. Background technique [0002] In related technologies, in the actual application of enterprises, facing the same natural person, its demographic attribute characteristics often exist in data from different sources, and its attribute characteristics are different in different data sources. Such a situation is very common. The reasons are roughly as follows: For the case where the attribute features in the original data source are from the actual collection, there may be errors in sampling and collection, which is a problem with the data source of the original data; for the attribute features in the original data source from In the case of algorithm prediction, there are errors in the prediction results of different algorithms, which is a problem in the algori...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/18G06F17/16
CPCG06F17/18G06F17/16
Inventor 楼马晶
Owner BEIJING MININGLAMP SOFTWARE SYST CO LTD