| With the continuous development of information technology and the rapid growth of the scale of higher education,all colleges and universities have set up their own educational management information systems,which has accumulated a great deal of teaching in the management of data,but the current treatment of these data remains at primary data backup, queries,and simple statistical stage,and it does not provide an effective means to help the senate managers of teaching the process of decision-making.At this time the management should not have to keep abreast of relevant information,leading decision-making can not be effectively support the data.The data warehouse and data mining technology can make up for these deficiencies,the use of data mining techniques extract useful information,so that teaching managers access to knowledge and insight in order to improve teaching quality and efficiency of decision-making.This article discusses data warehouse-based data mining technology,basic theory and implementation methods,the Academic Management System data cleansing conversion into data warehouse using data mining association rules algorithms,Bayesian classification algorithm and cluster analysis algorithm,combined with the Academic Management Systemv. Of students graduating from an analysis of results,through the graduation of students and curriculum relevance of the order come up with a reasonable order of the curriculum,the courses will be arranged with the previous comparison,and through previous employment rate of students to verify the reasonableness of the curriculum.At first,from the decision-making analysis of this article needs the Senate to build data warehouse systems;and then the data cleansing and conversion and to take into account data warehouse,using Borland Delphi 7.0 to establish the future user interface;Finally the use of Microsoft SQL Server in the data mining algorithms for data excavation analysis,the effective results obtained and applied in practice. |
PDF Full Text Request