现代计算机2024,Vol.30Issue(13) :89-94.DOI:10.3969/j.issn.1007-1423.2024.13.017

基于数据仓库的高职院校招生管理系统

Admission management system for higher vocational colleges based on data warehouse

刘发稳 容会 杨涓海 吴芸 殷洪杰
现代计算机2024,Vol.30Issue(13) :89-94.DOI:10.3969/j.issn.1007-1423.2024.13.017

基于数据仓库的高职院校招生管理系统

Admission management system for higher vocational colleges based on data warehouse

刘发稳 1容会 1杨涓海 2吴芸 3殷洪杰2
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作者信息

  • 1. 昆明冶金高等专科学校计算机信息学院,昆明 650033
  • 2. 昆明冶金高等专科学校招生就业处,昆明 650033
  • 3. 云南轻纺职业学院马克思主义学院,昆明 650033
  • 折叠

摘要

招生工作作为高职院校发展的关键,如何招收到更多优秀生源,合理分配招生计划已经成为困扰高职院校发展的突出问题.针对这个问题,设计实现了基于数据仓库的高职院校招生管理系统.以云南省某高职院校2021-2023年的招生信息为数据源,首先进行数据清洗,通过Hive数据仓库实现数据分层存储,借助Spark数据计算引擎的MLlib机器学习库实现FP-Growth算法挖掘数据的关联规则,进而实现了对学校招生信息数据的管理、分析、决策功能.

Abstract

As the key to the development of higher vocational colleges,how to recruit more excellent students and reasonably allocate enrollment plans has become a prominent problem that has plagued the development of higher vocational col-leges.In view of this problem,the admission management system for higher vocational colleges based on data warehouse is designed and implemented.The system takes the admission information of a higher vocational college in Yunnan Province from 2021 to 2023 as the simulation data.Firstly,data cleaning is carried out,and the hierarchical storage of data is realized through Hive data ware-house.With the help of MLlib machine learning library of Spark data computing engine,the association rules of data are mined by FP-Growth algorithm,and then the management,analysis and decision-making functions of school admission information data are realized.

关键词

招生/Hive数据仓库/FP-Growth算法/关联规则

Key words

admission/Hive data warehouse/FP-Growth algorithm/association rules

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基金项目

昆明冶金高等专科学校科研基金项目(2020XJZK05)

昆明冶金高等专科学校科研基金项目(2021XJZK06)

昆明冶金高等专科学校科研基金项目(2021XJZK11)

出版年

2024
现代计算机
中大控股

现代计算机

影响因子:0.292
ISSN:1007-1423
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