Data mining course teaching practice system and system-based teaching practice method

Abstract

The invention discloses a data mining course teaching practice system and a system-based teaching practice method. The system includes a mining business and data layer, a theoretical method layer, an application and visualization layer connected sequentially from bottom to top, and the mining business and data layer has data The preparation module is used to set up the data mining business and obtain the required data; the theoretical method layer is a variety of mining process frameworks, algorithm principles, usage paradigms and development and implementation methods; the application and visualization layer connects the theoretical method layer and mining business through the man-machine interface And the data layer, the application and visualization layer has core function development modules, which are used for system menu setting, parameter configuration visualization, input and output operations, calling the storage content of the theoretical method layer to process data, data mining business development process and result visualization. The present invention can facilitate teachers to teach and enable students to have a more systematic understanding of data mining business and process framework, and improve students' data science thinking.

Description

technical field [0001] The invention relates to the field of data mining and teaching technology, in particular to a data mining course teaching practice system and a system-based teaching practice method. Background technique [0002] In recent years, data-driven intelligent products have continuously expanded the new field of manufacturing; intelligent production, where manufacturing data is used as a means of production, is leading the transformation of production methods; intelligent services such as personalized customization and precise supply chain based on big data are reshaping industrial value chain system. In order to adapt to and even lead the transformation of the smart manufacturing industry (smart products, production and services) that relies on data, there is an urgent need to train mechanical students who are oriented to smart manufacturing. . [0003] Setting up data mining or big data courses is an important means to strengthen the cultivation of data t...

AI Technical Summary

Problems solved by technology

The other is mainly based on the practice of training program development. Students develop small programs for different algorithms, but their unity, integration, and systematization are poor, which is not conducive to supporting teachers' demonstrations and students' mining and analysis practices on a unified platform.

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