Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Siti Dianah Abdul Bujang"'
Autor:
Siti Dianah Abdul Bujang, Ali Selamat, Ondrej Krejcar, Farhan Mohamed, Lim Kok Cheng, Po Chan Chiu, Hamido Fujita
Publikováno v:
IEEE Access, Vol 11, Pp 1970-1989 (2023)
Student success is essential for improving the higher education system student outcome. One way to measure student success is by predicting students’ performance based on their prior academic grades. Concerning the significance of this area, variou
Externí odkaz:
https://doaj.org/article/0e165d59462a4aad8d0e4e92059eef97
Autor:
Po Chan Chiu, Ali Selamat, Ondrej Krejcar, King Kuok Kuok, Siti Dianah Abdul Bujang, Hamido Fujita
Publikováno v:
IEEE Access, Vol 10, Pp 61544-61566 (2022)
Missing values are highly undesirable in real-world datasets. The missing values should be estimated and treated during the preprocessing stage. With the expansion of nature-inspired metaheuristic techniques, interest in missing value imputation (MVI
Externí odkaz:
https://doaj.org/article/11de1e4b052a42a5a32fc764c5e56a76
Autor:
Siti Dianah Abdul Bujang, Ali Selamat, Roliana Ibrahim, Ondrej Krejcar, Enrique Herrera-Viedma, Hamido Fujita, Nor Azura Md. Ghani
Publikováno v:
IEEE Access, Vol 9, Pp 95608-95621 (2021)
Today, predictive analytics applications became an urgent desire in higher educational institutions. Predictive analytics used advanced analytics that encompasses machine learning implementation to derive high-quality performance and meaningful infor
Externí odkaz:
https://doaj.org/article/e7b76e957a4c47b2926dce8fa206be24
Publikováno v:
Informatics, Vol 7, Iss 2, p 13 (2020)
The rapid growth of the Industrial Revolution (IR) 4.0 has prompted the Malaysian Education Institution to transform the current education system into the future education system 4.0. The impact of IR 4.0 has opened a new paradigm for the Malaysian E
Externí odkaz:
https://doaj.org/article/cf680217590148e2b8efe7b7c7a0610d
Publikováno v:
SoMeT
Data-driven plays an important role in determining the quality of services in institutions of higher learning (HEIs). Increasingly data in education is encouraging institutions to find ways to improve student academic performance. By using machine le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51cf1e39e75b648407ac92d9fbf78d35
https://doi.org/10.3233/faia200550
https://doi.org/10.3233/faia200550
Publikováno v:
Informatics, Vol 7, Iss 13, p 13 (2020)
Informatics
Volume 7
Issue 2
Informatics
Volume 7
Issue 2
The rapid growth of the Industrial Revolution (IR) 4.0 has prompted the Malaysian Education Institution to transform the current education system into the future education system 4.0. The impact of IR 4.0 has opened a new paradigm for the Malaysian E
Publikováno v:
2019 IEEE Conference on Big Data and Analytics (ICBDA).
Nowadays, with the emerging of rapid revolution industries, there are various educational learning styles evolve in solving the way of teaching and learning among the TVET polytechnic students. However, the surrounding changes of enormous data in lea
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 1051:012005
Research on predictive analytics has increasingly evolved due to its impact on providing valuable and intuitive feedback that could potentially assist educators in improving student success in higher education. By leveraging predictive analytics, edu
Publikováno v:
Agent and Multi-Agent Systems: Technologies and Applications ISBN: 9783642016646
KES-AMSTA
KES-AMSTA
Today, in the evolution of hardware and software system in mobile-driven applications, failure is unacceptable to many entrepreneurs. The use of Short Message Service (SMS) for internet-based business is acknowledged to be one of the applications tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2162adaa484aaea43de0195fb0dc0c54
https://doi.org/10.1007/978-3-642-01665-3_51
https://doi.org/10.1007/978-3-642-01665-3_51
Publikováno v:
Studies in Computational Intelligence ISBN: 9783642039577
ICCCI (SCI Volume)
ICCCI (SCI Volume)
Current techniques of language identification are based on a method that assigns one or more textual documents into a set of predefined languages that are relevant to page contents. In this paper, we proposed an agent architecture that is used in cri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::930eeaf2ccb0686403d162644627658f
https://doi.org/10.1007/978-3-642-03958-4_24
https://doi.org/10.1007/978-3-642-03958-4_24