Title :
Data Mining in Individuality Long-Distance Education System Applied Research
Author_Institution :
Comput. & Inf. Eng. Inst., TianJin Normal Univ., Tianjin, China
Abstract :
After analyzing the insufficiency which existed in current most of long-distance education Websites, this paper introduces Data Mining technology, which is widely used in the field of the electronic commerce and so on, into the long-distance education system. Considering the difference between the long-distance education system and electronic commerce, this paper proposes a kind of system model based on Agent, and introduces how to construct a multi-dimensional data cube to evaluate the studies of students, which can be realized by OLAP Analysis Service tools provided by Microsoft SQL Server.
Keywords :
SQL; Web sites; data mining; distance learning; Individuality; Microsoft SQL server; OLAP analysis service tools; agent based model; data mining; electronic commerce; long distance education Websites; long distance education system applied research; multidimensional data cube; Computer science education; Data engineering; Data mining; Educational institutions; Educational technology; Electronic commerce; Electronic mail; Information science; Systems engineering education; Testing; Data Mining; OLAP; long-distance education; multi-dimensional data model;
Conference_Titel :
Information Science and Engineering (ISISE), 2009 Second International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-6325-1
Electronic_ISBN :
978-1-4244-6326-8
DOI :
10.1109/ISISE.2009.128