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Research and Design of Information Teaching Management System Integrating Association Rule Mining Algorithm

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Application of Big Data, Blockchain, and Internet of Things for Education Informatization (BigIoT-EDU 2022)

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Abstract

The main purpose of this research is to design and implement an information teaching management system integrating association rule mining algorithm. The process is divided into two parts: the first part is about the design model, and the second part is about implementing it. Research and design of information teaching management system integrating association rule mining algorithm In this research, we are trying to develop an information teaching management system, which can be applied to college students studying in the field of computer science. The purpose is to provide teachers with a tool that can help them work. We also hope to use it as a learning tool for students so that they can acquire more knowledge about how computers work and what they need to learn when using computers. Combine the research and design of information teaching management system with association rule mining algorithm. This algorithm can be used to find the most important rules in a given dataset, which are related to each other. It can then be used to select the best rule from the rules found using this method. It will help teachers choose the best teaching methods or skills to improve their skills and knowledge.

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Correspondence to Chengli Zhao .

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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Zhao, C. (2023). Research and Design of Information Teaching Management System Integrating Association Rule Mining Algorithm. In: Jan, M.A., Khan, F. (eds) Application of Big Data, Blockchain, and Internet of Things for Education Informatization. BigIoT-EDU 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 465. Springer, Cham. https://doi.org/10.1007/978-3-031-23950-2_59

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  • DOI: https://doi.org/10.1007/978-3-031-23950-2_59

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-23949-6

  • Online ISBN: 978-3-031-23950-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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