计算机科学 ›› 2010, Vol. 37 ›› Issue (6): 223-225236.

• 数据库与数据挖掘 • 上一篇    下一篇

基于数据仓库与联机分析技术的高考加分政策评估

蔡海敏,张自力,曾铮,殷员分   

  1. (西南大学智能软件与软件工程重点实验室 重庆400715)
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受重庆市科技攻关计划项目(CSTC, 2009AC2174)资助。

Evaluation of the Scoring Policies in National Admission and Examination of Colleges and Universities Using Data Warehouse and OLAP

CAI Hai-min,ZHANG Zi-li,ZENG Zheng,YIN Yuan-fen   

  • Online:2018-12-01 Published:2018-12-01

摘要: 高考是关乎国计民生的一件大事,而高考中的加分政策,更是各省市招生考试机构和考生乃至整个社会密切关注的问题。高考加分政策是否合理,长期以来没有科学、系统的评估方法。针对这一问题,依据某省多年来高考录取工作积累的数据,通过运用数据仓库及联机分析技术,对高考加分政策的相关数据进行多维分析,得到一些有趣的结果,由此制定了一套评估加分政策合理性的方法,可供各省市招生考试机构在出台新的高考加分政策时参考。

关键词: 高考加分政策,数据仓库,OLAP

Abstract: National Admission and Examination of Colleges and Universities (NAECU) gets in closer and closer touch with the national economy and the people's livelihood. hhe Scoring Politics in NAECU arc becoming one of key issues of the Provinces and Cities Admission Offices (PCAO) , and attract the attention of every examinee as well as the whole society. Currently there is no systematic and scientific way to evaluate the Scoring Policies. ho this end, data warehouse and OLAP technology were employed to analyze the data accumulated in the past years in a province. I3y multi dimensional analysis of the data, some interesting results were found and presented in the paper. Based on these findings, the evaluation scheme for Scoring Policies in NAECU was then given. hhis scheme can provide decision making support when introducing new scoring policies.

Key words: Scoring policies in NAECU, Data warehouse, OI_AP

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