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Research of data mining and web technology in university discipline construction decision support system based on MVC model

Zhaokun Huang (School of Public Affairs, Henan University of Economics and Law, Zhengzhou, China)
Yufang Liang (School of Public Affairs, Henan University of Economics and Law, Zhengzhou, China)

Library Hi Tech

ISSN: 0737-8831

Article publication date: 18 June 2019

Issue publication date: 29 September 2020

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249

Abstract

Purpose

Taking the discipline construction in colleges and universities as the application background, based on the research on data mining technology and decision support system technology, the data generated by university management information system are effectively utilized. The paper aims to discuss these issues.

Design/methodology/approach

Based on the Beijing Key Discipline Information Platform as the data source, the decision tree algorithm of data mining is studied. On the basis of decision tree C4.5, the Bayesian theory is applied to the post-pruning operation of the decision tree.

Findings

A decision tree post-pruning algorithm based on the Bayesian theory is studied and put forward in order to simplify the decision tree, which improves the generalization ability of the whole algorithm. Finally, the algorithm is used to build the prediction model of key disciplines. Combined with the decision support system architecture, data warehouse and the data mining algorithm constructed by university discipline, based on J2EE standard enterprise system specification, MVC model is applied. Moreover, a prototype system of decision support system for discipline construction in colleges and universities with browser/server (B/S) structure is completed and implemented.

Originality/value

A decision tree post-pruning algorithm based on the Bayesian theory is studied and put forward in order to simplify the decision tree, which improves the generalization ability of the whole algorithm. Finally, the algorithm is used to build the prediction model of key disciplines. Combined with the decision support system architecture, data warehouse and the data mining algorithm constructed by university discipline, based on J2EE standard enterprise system specification, MVC model is applied. Moreover, a prototype system of decision support system for discipline construction in colleges and universities with B/S structure is completed and implemented.

Keywords

Citation

Huang, Z. and Liang, Y. (2020), "Research of data mining and web technology in university discipline construction decision support system based on MVC model", Library Hi Tech, Vol. 38 No. 3, pp. 610-624. https://doi.org/10.1108/LHT-09-2018-0131

Publisher

:

Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited