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Method, system, device and medium for processing data

A technology for processing data and incremental data, applied in the field of graph models, to achieve the effect of improving processing speed, reducing memory resources, and increasing processing capacity

Pending Publication Date: 2022-05-13
ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This brings great challenges to the system's IO resources, memory resources, processor resources, network resources, system capacity, etc.

Method used

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  • Method, system, device and medium for processing data
  • Method, system, device and medium for processing data
  • Method, system, device and medium for processing data

Examples

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Embodiment Construction

[0070]The content of the following specific embodiments is sufficient for any person skilled in the art to understand and implement the technical content of one or more embodiments of this specification, and according to the specification, claims and drawings disclosed in this specification, those skilled in the art Objects and advantages associated with one or more embodiments of the present specification can be readily understood.

[0071] Today, graphical models are widely exploited. For example, graph models are widely used in user behavior understanding, intelligent customer service, credit financing, capital flow tracking, etc. A graph model usually consists of vertices and edges, where vertices and edges can represent entities and relationships between entities, respectively. Some entities and edges may have properties.

[0072] In some application scenarios, graph models grow over time. For example, a funding network can be represented as a graph model.

[0073] Ev...

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PUM

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Abstract

A method of processing data is disclosed. The method includes obtaining newly added data of a latest cycle, generating an incremental graph, dividing the incremental graph into a plurality of computing nodes to generate a partial incremental graph of a latest version, loading a partial incremental graph of a previous version from persistent storage, and performing processing on the partial incremental graphs of the latest version and the previous version. The invention also discloses a method for processing fund flow data, a corresponding system, a device and a medium.

Description

technical field [0001] The present application relates to graph models, and more particularly to methods, systems, devices and media for processing data using graph models. Background technique [0002] Today, graphical models are widely exploited. For example, the graphical model has been applied to various application scenarios such as user behavior understanding, intelligent customer service, credit financing, and fund flow tracking. Graphs usually consist of vertices and edges, where vertices and edges represent entities and relationships between entities, respectively. Some entities and edges may have properties. [0003] In some application scenarios, graph models grow over time. For example, a money network can be represented as a graph model, and as new money flows, the size of the money network will grow. Using graph models to analyze capital networks can be used in financial risk control scenarios such as anti-money laundering and post-loan fund management and ...

Claims

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Application Information

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IPC IPC(8): G06Q40/02G06F3/06G06F9/50
CPCG06Q40/02G06F3/061G06F3/0608G06F9/5016
Inventor 唐坤易鹏
Owner ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
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