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Self-adaptive aggregation method and system for mass structured data and electronic equipment

A structured data and self-adaptive aggregation technology, applied in special data processing applications, electronic digital data processing, digital data information retrieval, etc., can solve problems such as low reliability of aggregation results, unstable aggregation accuracy, and large amount of processed data , to achieve the effect of improving aggregation reliability, ensuring aggregation accuracy, and ensuring reasonable reduction

Active Publication Date: 2022-05-17
北京快立方科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide an adaptive aggregation method, system and electronic equipment for a large amount of structured data, so as to solve the problem that the computer directly selects all the structured data for analysis when performing data aggregation analysis in the prior art, and there is a large amount of processed data. Large and low aggregation efficiency, but after computer or artificial screening of data for aggregation analysis, there are technical problems such as unstable aggregation accuracy and poor aggregation pertinence, which leads to low reliability of aggregation results

Method used

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  • Self-adaptive aggregation method and system for mass structured data and electronic equipment
  • Self-adaptive aggregation method and system for mass structured data and electronic equipment
  • Self-adaptive aggregation method and system for mass structured data and electronic equipment

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Embodiment 1

[0033] Please refer to the attached figure 1 , the present invention provides a method for adaptive aggregation of massive structured data, wherein the method is applied to an adaptive aggregation system for massive structured data, and the method specifically includes the following steps:

[0034] Step S100: Obtain the first aggregation requirement of the first structured data;

[0035] Specifically, the adaptive aggregation method for massive structured data is applied to the adaptive aggregation system for massive structured data, and the hierarchical attribute reduction processor can be used to analyze the massive structured data before data aggregation. Make reasonable and effective reductions. Structured data refers to data that can be logically expressed and realized through a two-dimensional table structure. The first row of the two-dimensional table structure is generally the data attribute name, and all data elements in the table and the attribute name of the first ...

Embodiment 2

[0098] Based on the same inventive concept as the adaptive aggregation method for massive structured data in the foregoing embodiments, the present invention also provides an adaptive aggregation system for massive structured data, please refer to the attached Figure 5 , the system includes:

[0099] A first obtaining unit 11, the first obtaining unit 11 is configured to obtain a first aggregation requirement of the first structured data;

[0100] A first building unit 12, the first building unit 12 is configured to analyze the characteristics of the first structured data and build a data attribute set, wherein the data attribute set includes a plurality of data attributes;

[0101] A second obtaining unit 13, configured to sequentially upload the plurality of data attributes to a hierarchical attribute reduction processor to obtain a first processing result;

[0102] A first construction unit 14, the first construction unit 14 is used to construct an aggregatable support ve...

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Abstract

The invention discloses an adaptive aggregation method and system for mass structured data and electronic equipment, and relates to the field of artificial intelligence, in particular to a reduction aggregation method and system for mass structured data and electronic equipment. The method comprises the following steps: obtaining a first processing result by utilizing a hierarchical attribute reduction processor through a first aggregation demand and a data attribute set; constructing an aggregability support vector machine to obtain a first output result; a first attribute set is determined through manual judgment; sequentially extracting to obtain a plurality of extraction data; and aggregating the plurality of extracted data according to the first aggregation demand. The technical problems that in the prior art, during data aggregation, the processing data volume is large, the aggregation efficiency is low, and aggregation after data screening is unstable in precision and low in aggregation reliability are solved. Through reasonable and effective data attribute reduction, the technical effects of effectively reducing the aggregation processing data volume and improving the aggregation reliability, pertinence and aggregation efficiency on the basis of ensuring the aggregation precision are achieved.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to an adaptive aggregation method, system and electronic equipment for massive structured data. Background technique [0002] With the rapid development of computer technology, all walks of life have gradually entered the stage of information management, thus generating a large amount of data information. Through data fusion, the value of massive data information can be fully exploited, thereby promoting the upgrading of industrial quality and efficiency. From the degree of interaction, existing data fusion can be divided into three levels: data combination, data integration, and data aggregation, and the data interaction depth of the three levels is from low to high. Among them, data aggregation refers to the incubation of multi-party data to generate new products and models, or to discover new rules and values, such as installment loans. Through big data risk control capabi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/2458G06F16/215G06K9/62
CPCG06F16/2465G06F16/215G06F18/2411Y02D10/00
Inventor 骆彬
Owner 北京快立方科技有限公司
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