A Realization Method of Index Processing Applied in Decision Engine

An implementation method and index technology, which is applied in the field of index processing and realization, can solve the problems of high index processing complexity and difficult adjustment, and achieve the effects of improving user experience, lowering entry barriers, and improving operating efficiency

Active Publication Date: 2022-01-04
浙江省金融综合服务平台管理有限公司
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AI Technical Summary

Problems solved by technology

[0006] The present invention mainly solves the problem that the index processing is difficult to adjust due to the high complexity of index processing in the existing technology; it provides an index processing implementation method applied to the decision-making engine, which reduces the difficulty for business personnel to use the decision-making engine index, so that business personnel can Demand Quick Adjustment Indicator

Method used

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  • A Realization Method of Index Processing Applied in Decision Engine
  • A Realization Method of Index Processing Applied in Decision Engine
  • A Realization Method of Index Processing Applied in Decision Engine

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Embodiment

[0038] Embodiment: a method for implementing index processing applied in a decision engine, such as image 3 As shown, it includes an index dictionary module 11, a feature index module 12, a business index module 13, and a decision rule configuration module 14, wherein:

[0039] The index dictionary module 11 is used to configure the index name, data type, and associated business scenarios, manage and define the index caliber in a unified manner, and at the same time assign the index to business scenarios; data types support string types and numeric types, and business scenarios can be customized. You can also select an existing business scenario association for the business scenario association.

[0040] The feature index module 12 is used to configure the feature index according to the specific index caliber algorithm, extract the index feature according to the index caliber algorithm, and generate a feature index value by using the index processing calculation method of the...

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Abstract

The invention discloses a method for realizing index processing applied in a decision engine, comprising the following steps: S1: acquiring index data, preprocessing the index data, and then inputting the index data into an index dictionary module; S2: performing index definition in the index dictionary module; S3: Extract the characteristic indicators of the defined indicators to generate the characteristic indicator values; S4: Convert the characteristic indicators into indicator processing json scripts to generate business indicators; S5: Bind the business indicators to the rule model or scorecard model, using Decision-making rule calculations are performed in the decision-making engine; after the feature index processing and calculation of the present invention is completed, the corresponding feature index values ​​are stored in the index library. Index processing calculation omits the calculation process of characteristic index values, reduces the difficulty for business personnel to use decision engine indicators, and enables business personnel to quickly adjust indicators according to business needs.

Description

technical field [0001] The invention relates to the technical field of decision engines, in particular to an index processing implementation method applied in decision engines. Background technique [0002] The decision-making engine has been widely used in the financial industry. As the core of financial technology, it needs to support the automatic processing of a large amount of business data, and output the final decision-making results according to the decision-making rule model, which can greatly liberate the bottleneck and efficiency of manual processing; The core idea is to extract the user's identity, behavior and data characteristics based on a large number of real user sample data, and to eliminate them through algorithm technology from the perspective of probability, so as to ensure that the overdue probability of the user group that passes the decision-making rule is at a relative lower range. The characteristic index value obtained by processing and refining t...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F40/18G06F40/186G06Q10/06G06Q10/10
CPCG06F40/18G06F40/186G06Q10/06393G06Q10/10
Inventor 徐小平张有荣蔡英王海燕朱莉莉万茂华王兴应芝
Owner 浙江省金融综合服务平台管理有限公司
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