Low-code data mining algorithm platform system and method

By using low-code technology to develop a data mining algorithm platform in industrial automation scenarios, the problems of in-depth mining of massive data and data value analysis are solved, and the data mining capabilities of low-code are realized, which simplifies the development process and reduces costs.

CN119740208APending Publication Date: 2025-04-01BEIJING SIFANG JIBAO AUTOMATION +1
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Patent Information

Application Number
CN202411810689.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-10
Publication Date
2025-04-01

AI Technical Summary

Technical Problem

It is difficult for the existing technology to effectively carry out in-depth mining of massive data and data value analysis in industrial automation scenarios, and the development cycle is long and the code reusability is poor. Professional data analysts need to participate and the learning cost is high.

Method used

The data mining algorithm platform is developed using low-code technology, and through data management modules, data mining modules, data mining algorithm modules, service release modules and data display modules, intelligent data analysis, data release services and data display modules are realized.

Benefits of technology

It realizes low-code data mining capabilities, and responds to changing data analysis needs through a small amount of code, simplifies the data mining, analysis, display and service release processes, and reduces development costs and learning difficulties.

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Abstract

The invention discloses a low-code data mining algorithm platform system and method, and belongs to the technical field of data processing. The system comprises a data management module, a data mining module, a data mining algorithm module, a service publishing module and a data display module. The data management module is used for managing various data sources, accessing data, managing data and managing metadata; the data mining algorithm module is used for providing various data mining algorithms and carrying out algorithm custom development by any language framework; the data mining module realizes one-stop service of model training, model deployment and model prediction through visual dragging; the service publishing module publishes the arranged data mining calculation process as algorithm service and publishes the data as data service for the data display module and other systems to call; and the data display module is connected with the data of the service publishing module to generate a visual chart. According to the invention, the user can conveniently and efficiently process, analyze, display and publish data.
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