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Teaching Resource Sharing System of Real Estate Management Course Based on Data Mining

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e-Learning, e-Education, and Online Training (eLEOT 2021)

Abstract

The traditional teaching resource sharing system saves a high repetition rate of teaching resources, and there is a problem of limited shared data capacity, resulting in low response efficiency of the sharing system and unable to meet user needs. With regard to the above issues, a data mining-based real estate management course teaching resource sharing system is designed. On the basis of the optimal design of the collector and memory of the system hardware, the system software part is designed. Use data mining technology to mine course-related teaching resources, and use Hadoop to realize resource storage and retrieval, and complete system design. The comparative experiment proved that the system can effectively shorten the response data by about 43%, and the stability of the system is better. It plays a certain role in promoting the better development of real estate management courses.

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Peng, Q., Yan, Yp. (2021). Teaching Resource Sharing System of Real Estate Management Course Based on Data Mining. In: Fu, W., Liu, S., Dai, J. (eds) e-Learning, e-Education, and Online Training. eLEOT 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 390. Springer, Cham. https://doi.org/10.1007/978-3-030-84386-1_19

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  • DOI: https://doi.org/10.1007/978-3-030-84386-1_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-84385-4

  • Online ISBN: 978-3-030-84386-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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