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An adaptive aggregation method, system and electronic device for massive structured data

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: 2022-07-12
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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  • An adaptive aggregation method, system and electronic device for massive structured data
  • An adaptive aggregation method, system and electronic device for massive structured data
  • An adaptive aggregation method, system and electronic device for massive structured data

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Embodiment 1

[0033] Please see attached figure 1 The present invention provides an adaptive aggregation method for 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: obtaining a first aggregation requirement of the first structured data;

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

Embodiment 2

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

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

[0100] a first building unit 12, the first building unit 12 is configured to perform feature analysis on the first structured data, and build a data attribute set, wherein the data attribute set includes a plurality of data attributes;

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

[0102] a first construction unit 14, the first construction unit 14 is configured to ...

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Abstract

The invention discloses an adaptive aggregation method, system and electronic equipment for massive structured data, which relate to the field of artificial intelligence, and in particular to a reduction and aggregation method, system and electronic equipment for massive structured data. The method includes: obtaining a first processing result by using a hierarchical attribute reduction processor through a first aggregation requirement and a data attribute set; constructing an aggregatable support vector machine to obtain a first output result; manually judging to determine the first attribute set; Extracting to obtain multiple extracted data; and performing aggregation processing on the multiple extracted data according to the first aggregation requirement. The technical problems of large amount of processing data and low aggregation efficiency during data aggregation in the prior art, and unstable accuracy and low aggregation reliability in aggregation after data screening are solved. Through reasonable and effective data attribute reduction, the technical effect of effectively reducing the amount of data processed by aggregation and improving the reliability, pertinence and efficiency of aggregation is achieved on the basis of ensuring the accuracy of aggregation.

Description

technical field [0001] The present invention relates to the field of artificial intelligence, in particular to a method, system and electronic device for self-adaptive aggregation of 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, so a large amount of data information is generated. Through data fusion, the full mining of the value of massive data information can be realized, thereby promoting the upgrading of industrial quality and efficiency. Existing data fusion can be divided into three levels in terms of interaction, data combination, data integration, and data aggregation, and the depth of data interaction at the three levels is from low to high. Among them, data aggregation refers to the incubation of multi-party data aggregation to generate new products and models, or to discover new rules and values, such as installment loans. Throu...

Claims

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Application Information

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Patent Type & Authority Patents(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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