期刊文献+

高校学生评教决策支持系统概述

Overview of Student Evaluation of Teaching in Colleges and Universities Decision Support System
下载PDF
导出
摘要 近年来,随着我国高等院校招生规模的不断扩大,高校的数量也在不断增长。数量的增多就决定了优胜劣汰,要想在激烈的竞争中得以生存,务必要提高教师的教学质量,找出影响教师教学水平提高的不利因素,有针对性的分析和解决问题。决策支持系统(Decision Support System,DSS)是一门新兴的管理信息技术,能为决策者提供决策所需要的背景资料及相关数据、信息,提高决策的正确性。 In recent years,with the continuous expansion of enrollment in colleges and universities in China,College number continues to grow.ncrease in the number of decisions the fittest,to survive in the face of fierce competition,it is important to improve the teaching quality of teachers,find ' impact on the teaching level of negative factors,targeted analysis and problem solving.DSS(Decision Support Sys tem,DSS) as an emerging information technology management,in order to provide decision makers with data required for decision making,information and background material,and provide necessary support for the right decisions.
作者 戴艳丽
出处 《电脑知识与技术(过刊)》 2012年第2X期993-995,共3页 Computer Knowledge and Technology
关键词 数据仓库 OLAP 决策支持系统 数据挖掘 data warehousing OLAP DSS data mining
  • 相关文献

参考文献4

二级参考文献11

  • 1AGRAWAI, R,IMIEIJNSKI T,SWAMI A.Mining Association Rules between Sets of Items in Large Database[A]. Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data[C]. Washington DC, USA, 1993. 207-216.
  • 2AGRAWAL R, SRIKANT R. Fast algorithms for mining association rules[A]. Proceedings of the 20th Int'l Conference on Very Large Databases[C]. Santiago, Chile, 1994. 487-499.
  • 3SRIKANT R, AGRAWAL R. Mining Generalized Association Rules[A]. Proceedings of the 21st VLDB Conference[C], 1995. 407 -419.
  • 4HAN J, FU Y. Discovery of Multiple-Level Association Rules from Large Databases[A]. Proceedings of the 21st VLDB Conference[C], 1995.420 -431.
  • 5SAVASERE A, OMIECINSKI E, NAVATHF SB. An Efficient Algorithm for Mining Association Rules in Large Data Bases[A]. Proceedings of the 21st VLDB Conference[C], 1995. 432 - 444 .
  • 6PARK JS. Using a hash-based method with transaction trimming for mining association rules[J].IEEE Transaction on Knowledge and Data Engineering, 1997,9(5):813 -825.
  • 7欧阳为民,郑诚,蔡庆生.国际上关联规则发现研究述评[J].计算机科学,1999,26(3):41-44. 被引量:22
  • 8陆丽娜,陈亚萍,魏恒义,杨麦顺.挖掘关联规则中Apriori算法的研究[J].小型微型计算机系统,2000,21(9):940-943. 被引量:144
  • 9陈丽,陈根才.基于高校人事信息库的数据挖掘研究[J].计算机工程,2000,26(11):117-119. 被引量:11
  • 10向阳,张巍.基于事务数据库的关联规则采掘算法研究[J].山东科技大学学报(自然科学版),2001,20(2):55-59. 被引量:5

共引文献28

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部