DocumentCode
2070616
Title
Data Mining in Individuality Long-Distance Education System Applied Research
Author
Wang, Lan
Author_Institution
Comput. & Inf. Eng. Inst., TianJin Normal Univ., Tianjin, China
fYear
2009
fDate
26-28 Dec. 2009
Firstpage
99
Lastpage
103
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ISISE.2009.128
Filename
5447196
Link To Document