Intelligent Course Scheduling System Based on Case-based Reasoning

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Abstract

In view of the current situation of tight teaching resources, the intelligent scheduling system alleviates this problem to a certain extent, and the advantages and disadvantages of the scheduling method determine the performance of the scheduling system. a method based on Case-based reasoning is presented in this paper to solve the course scheduling problem. Using graph theory, a case representation model is built for the course scheduling problem, a measure is established for case similarity, and a case retrieval method based on maximum common subgraph selection is brought forward. Finally, the validity of the proposed method for solving course scheduling problem based on case-based reasoning is verified through an experiment.

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APA

Zhang, S., & Wang, X. (2021). Intelligent Course Scheduling System Based on Case-based Reasoning. In Journal of Physics: Conference Series (Vol. 1920). IOP Publishing Ltd. https://doi.org/10.1088/1742-6596/1920/1/012086

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