DocumentCode
2568806
Title
College Students Network Learning Behavior Based on Data Mining
Author
Yan, Ge
Author_Institution
Sch. of Bus. Adm., Shandong Univ. of Finance, Ji´´nan, China
fYear
2009
fDate
15-17 May 2009
Firstpage
620
Lastpage
624
Abstract
With the advance of information technology, it is highlighted on how to extract valuable information from mass data. Through data mining technology we can automatically analyze data, make inductive reasoning, mine potential network learning behavior classification and characteristics of students, quantify the effect and evaluation of network learning to continuously improve the overall quality and learning ability of them.
Keywords
behavioural sciences; computer aided instruction; data mining; learning by example; pattern classification; data mining; information technology; potential network learning behavior classification; Algorithm design and analysis; Association rules; Data analysis; Data mining; Delta modulation; Educational institutions; Information analysis; Information technology; Spatial databases; Statistical analysis; data mining; genetic algorithm; learning behavior;
fLanguage
English
Publisher
ieee
Conference_Titel
2009 International Conference on Signal Processing Systems
Conference_Location
Singapore
Print_ISBN
978-0-7695-3654-5
Type
conf
DOI
10.1109/ICSPS.2009.93
Filename
5166861
Link To Document