Abstract
Based on a comprehensive analysis of the existing Online Judge (OJ) evaluation systems at home and abroad, this paper designs and implements a new R language data mining online evaluation system based on HUSTOJ with reference to the characteristics of R language and data mining model algorithms. The overall system architecture is roughly divided into front-end, display layer, business layer, data layer and other parts. OJ System functional design includes OJ user system design, OJ question bank system design and OJ question judgment system design. Likewise, an accompanying experimental checklist and instructions are also developed. To a certain extent, the system solves problems of online test of data mining algorithms and lack of R language learning methods. At the same time, it also provides references for the designers and developers of related online referee systems. In the future, we look forward to the prospect of the system, such as how to ensure the security of the system, add automatic evaluation mechanism, and add natural language processing algorithms.
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The research is supported by Key Research and Development Program of Hebei province (No. 21373902D).
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Luo, X. et al. (2023). Data Mining Series Experiment Design and OJ System Development Based on R Language. In: Hong, W., Weng, Y. (eds) Computer Science and Education. ICCSE 2022. Communications in Computer and Information Science, vol 1813. Springer, Singapore. https://doi.org/10.1007/978-981-99-2449-3_51
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DOI: https://doi.org/10.1007/978-981-99-2449-3_51
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