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Mining Educational Data to Improve Students’ Performance: A Case Study

Mining Educational Data to Improve Students’ Performance: A Case Study

ISSN 2223-4985
Journal from gdlhub / 2017-08-14 11:52:31
Oleh : Mohammed M. Abu Tair , Alaa M. El-Halees , International Journal of Information and Communication Technology Research
Dibuat : 2012-06-23, dengan 1 file

Keyword : Educational Data Mining, Classification, Association rules; Clustering, Outlier Detection.
Subjek : Mining Educational Data to Improve Students’ Performance: A Case Study
Url : http://esjournals.org/journaloftechnology/archive/vol2no2/vol2no2_7.pdf
Sumber pengambilan dokumen : Internet

Educational data mining concerns with developing methods for discovering knowledge from data that come from educational


domain. In this paper we used educational data mining to improve graduate students’ performance, and overcome the problem of low


grades of graduate students. In our case study we try to extract useful knowledge from graduate students data collected from the


college of Science and Technology – Khanyounis. The data include fifteen years period [1993-2007]. After preprocessing the data,


we applied data mining techniques to discover association, classification, clustering and outlier detection rules. In each of these four


tasks, we present the extracted knowledge and describe its importance in educational domain.

Deskripsi Alternatif :

Educational data mining concerns with developing methods for discovering knowledge from data that come from educational


domain. In this paper we used educational data mining to improve graduate students’ performance, and overcome the problem of low


grades of graduate students. In our case study we try to extract useful knowledge from graduate students data collected from the


college of Science and Technology – Khanyounis. The data include fifteen years period [1993-2007]. After preprocessing the data,


we applied data mining techniques to discover association, classification, clustering and outlier detection rules. In each of these four


tasks, we present the extracted knowledge and describe its importance in educational domain.

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PropertiNilai Properti
ID Publishergdlhub
OrganisasiInternational Journal of Information and Communication Technology Research
Nama KontakHerti Yani, S.Kom
AlamatJln. Jenderal Sudirman
KotaJambi
DaerahJambi
NegaraIndonesia
Telepon0741-35095
Fax0741-35093
E-mail Administratorelibrarystikom@gmail.com
E-mail CKOelibrarystikom@gmail.com

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