Aspects of Using Data Mining Techniques in the Study of Student Performance
AbstractIn our world the large amount of existing data and the need to convert and analyze this large amount of useful data has led to the concept of data mining. Using data mining techniques is driven by the urgent need, common to many fields, to store, access, describe, model, and especially to understand and effectively use of the large amounts of data. Lately the use of data mining in the field of academic analysis has proved particularly useful. This paper presents the concept and architecture of data mining systems, and also, is presented some of its applications in the field of university to study students' behavior.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Ovidius University of Constantza, Faculty of Economic Sciences in its journal Ovidius University Annals, Economic Sciences Series.
Volume (Year): X (2010)
Issue (Month): 1 (May)
Contact details of provider:
Web page: http://www.univ-ovidius.ro/facultatea-de-stiinte-economice
More information through EDIRC
data mining techniques; effectively use; data; student performance;
Find related papers by JEL classification:
- A29 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Other
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Jeflea Victor).
If references are entirely missing, you can add them using this form.