Student performance classification: data, features and classifiers / Muhammad Hareez Mohd Zaki ... [et al.]
Recognising student's performances are one of the factors that contribute to the Educational Data Mining (EDM) which make it important in determining the students-related factors that affect their performance. Thus, a review on the student performance classification based on its data, features...
Enregistré dans:
Auteurs principaux: | Mohd Zaki, Muhammad Hareez (Auteur), Abdul Aziz, Mohd Azri (Auteur), Sulaiman, Suhana (Auteur), Hambali, Najidah (Auteur) |
---|---|
Format: | Livre |
Publié: |
UiTM Press,
2023-10.
|
Sujets: | |
Accès en ligne: | Link Metadata |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Feature selection methods application towards a new dataset based on online student activities / Muhammad Hareez Mohd Zaki ... [et al.]
par: Mohd Zaki, Muhammad Hareez, et autres
Publié: (2023) -
Student performance classification using support vector machine (SVM) with polynomical kernel on online student activities / Muhammad Hareez Mohd Zaki ... [et al.]
par: Mohd Zaki, Muhammad Hareez, et autres
Publié: (2023) -
Job classification: the application of feature selection techniques on graduates' data / Muhammad Haziq Haikal Hisham, Mohd Azri Abdul Aziz and Ahmad Asari Sulaiman
par: Hisham, Muhammad Haziq Haikal, et autres
Publié: (2023) -
ePoster: sip and chill / Muhammad Muzakkir Mohd Zaki ... [et al.]
par: Mohd Zaki, Muhammad Muzakkir, et autres
Publié: (2022) -
Bengkel one stop centre / Mohd Zaki Mohd Yusoff
par: Mohd Yusoff, Mohd Zaki
Publié: (2019)