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Application of Association Rules in Analysis of College Students’ Performance

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Applied Informatics and Communication (ICAIC 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 226))

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Abstract

Association rules mining is an important part of research work in data mining field. In this article, Apriori association rule algorithm was applied to the analysis of college students’ performance. First, the data were processed. Then, the relations which affect the students’ performance were found out and the association rules were generated. This can be applied in guiding the studies and teaching.

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References

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Author information

Authors and Affiliations

  1. Institute of Computer, Shaoguan University, Shaoguan, Guangdong Province, China

    Huiping Wang & Ruowu Zhong

Authors
  1. Huiping Wang
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  2. Ruowu Zhong
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Editor information

Editors and Affiliations

  1. Suzhou University, No. 50 Donghuan Road, 215021, China

    Jianwei Zhang

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© 2011 Springer-Verlag Berlin Heidelberg

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Wang, H., Zhong, R. (2011). Application of Association Rules in Analysis of College Students’ Performance. In: Zhang, J. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23235-0_52

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  • DOI: https://doi.org/10.1007/978-3-642-23235-0_52

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23234-3

  • Online ISBN: 978-3-642-23235-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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