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Big data-based decision-making methods, equipment and media

A decision-making method and big data technology, applied in data processing applications, electrical digital data processing, digital data information retrieval, etc., can solve the problems of wasting system resources, increasing decision execution delay, occupation and other problems

Active Publication Date: 2020-08-21
NANJING TRANSWARP INTELLIGENCE CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Functionally, it can guarantee the correctness of the execution result, but the business data that plays a decisive role in the execution result of the decision expression may only occupy a small set of all business data
In addition, the calculation and acquisition operations of invalid business data are meaningless operations, which waste system resources and increase the delay of decision execution.

Method used

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  • Big data-based decision-making methods, equipment and media
  • Big data-based decision-making methods, equipment and media
  • Big data-based decision-making methods, equipment and media

Examples

Experimental program
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Effect test

Embodiment 1

[0055] Figure 1a It is a flow chart of a decision-making method based on big data provided by Embodiment 1 of the present invention. The embodiment of the present invention can be applied to the situation of optimizing decision-making execution. The method can be executed by the decision-making device based on big data provided by the embodiment of the present invention. The device can be implemented in the form of software and / or hardware, and can generally be integrated in computer equipment. like Figure 1a As shown, the method of the embodiment of the present invention specifically includes:

[0056] Step 101. When a big data decision request is detected, a decision expression included in the big data decision request is extracted.

[0057] Among them, the decision expression includes multiple sub-expressions connected by logical operators, and the sub-expressions include multiple business data to be filled and calculated connected by relational operators. The decision e...

Embodiment 2

[0092] figure 2 It is a flowchart of a decision-making method based on big data provided by Embodiment 2 of the present invention. The embodiment of the present invention can be combined with each optional solution in the above-mentioned one or more embodiments. In the embodiment of the present invention, the decision expression is decomposed step by step according to the operation level according to the insertion position of the bracket group, and multiple operation levels are obtained. The multiple corresponding hierarchical expressions may include: according to the operation level determined by the insertion position of the parenthesis group of the decision expression, obtain the level operator in the logical operator, and according to the level operator, obtain the respective A plurality of corresponding hierarchical expressions; wherein, the combination of all the hierarchical expressions of the next computing level corresponding to the hierarchical expressions of the pr...

Embodiment 3

[0111] image 3 It is a flow chart of a decision-making method based on big data provided by Embodiment 3 of the present invention. The embodiment of the present invention can be combined with each optional solution in one or more of the above-mentioned embodiments. In the embodiment of the present invention, according to the historical decision result data matched with the expressions of each level and the logic of connecting the level expressions of the same operation level The decision-making attribute of the operator determines the decision-making contribution of each level of expression, which may include: obtaining a set number of historical decision-making result data matched by the decision-making expression; according to the order of the operation level, sequentially obtain Hierarchical expressions of multiple subsequent operation levels of the hierarchical expression; in the historical decision result data, filter the target decision result data corresponding to each...

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Abstract

The embodiment of the invention discloses a decision-making method, equipment and medium based on big data. Among them, the method includes: extracting the decision expression included in the big data decision request; decomposing the decision expression step by step according to the operation level to obtain multiple level expressions corresponding to the multiple operation levels; The matching historical decision result data and the decision attributes of the logical operators connecting the hierarchical expressions of the same operation level determine the decision contribution of each level of expression; according to the decision contribution, the adjusted expression is obtained; according to the adjusted expression Operation sequence, real-time acquisition of business data and filling in corresponding sub-expressions for calculation to obtain calculation results matching big data decision-making requests. The embodiment of the present invention can adjust the decision expression and optimize the execution order of the decision expression, thereby reducing the acquisition and calculation of business data and improving the efficiency of decision-making.

Description

technical field [0001] Embodiments of the present invention relate to decision-making execution technology, and in particular to a decision-making method, device and medium based on big data. Background technique [0002] In fields such as banking, securities, e-commerce, and transportation, there are often complex decision logics, that is, combinations of many logical expressions (decision expressions). It also means queries involving many business data. The calculation and acquisition of business data consumes the most time in the decision-making process. The calculation of business data requires an additional central processing unit (Central Processing Unit, CPU). The acquisition process of business data requires network or local input / output (I / O) interaction, which affects the delay of decision-making. [0003] In the decision execution process of the prior art, all business data of the decision expression is obtained first, and then substituted into the decision exp...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06F16/2458
CPCG06Q10/06375G06F16/2458
Inventor 黄南溪张晨郭建新
Owner NANJING TRANSWARP INTELLIGENCE CO LTD
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