Title :
College Students Network Learning Behavior Based on Data Mining
Author_Institution :
Sch. of Bus. Adm., Shandong Univ. of Finance, Ji´´nan, China
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;
Conference_Titel :
2009 International Conference on Signal Processing Systems
Conference_Location :
Singapore
Print_ISBN :
978-0-7695-3654-5
DOI :
10.1109/ICSPS.2009.93
