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基于数据仓库的高职院校招生管理系统

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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.
Admission management system for higher vocational colleges based on data warehouse
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.

admissionHive data warehouseFP-Growth algorithmassociation rules

刘发稳、容会、杨涓海、吴芸、殷洪杰

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昆明冶金高等专科学校计算机信息学院,昆明 650033

昆明冶金高等专科学校招生就业处,昆明 650033

云南轻纺职业学院马克思主义学院,昆明 650033

招生 Hive数据仓库 FP-Growth算法 关联规则

昆明冶金高等专科学校科研基金项目昆明冶金高等专科学校科研基金项目昆明冶金高等专科学校科研基金项目

2020XJZK052021XJZK062021XJZK11

2024

现代计算机
中大控股

现代计算机

影响因子:0.292
ISSN:1007-1423
年,卷(期):2024.30(13)