Zobrazeno 1 - 10
of 120
pro vyhledávání: '"Chee Siong Teh"'
Autor:
Chee Siong Teh1 csteh@unimas.my, Kudus, Ahmad Ridzuan1
Publikováno v:
TEM Journal. May2024, Vol. 13 Issue 2, p976-991. 16p.
Autor:
Chwen Jen Chen, Chee Siong Teh
Publikováno v:
Teaching & Learning Inquiry: The ISSOTL Journal, Vol 10 (2022)
This study chose an undergraduate course offered at a public university in Malaysia as the case to discover students’ unseen online interaction behaviors and experiences in order to obtain insights into ways to devise relevant online pedagogical ap
Externí odkaz:
https://doaj.org/article/72679cbb330f4507804e187c634fa451
Publikováno v:
International Journal of Economics and Management. 17:139-149
The world is changing rapidly with the adoption of sophisticated digital technology. The foremost tool for digital technology operation is digital connectivity infrastructure. To unleash the potential of the digital economy in ASEAN countries, the fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ed654909852b908ef6f5038b16c4450
https://doi.org/10.47836/ijeam.17.1.10
https://doi.org/10.47836/ijeam.17.1.10
Autor:
Nie Hui Ling, Chwen Jen Chen, Chee Siong Teh, Sigan John, Dexter, Looi Chin Ch’ng, Yoon Fah Lay
Publikováno v:
International Journal of Technology in Education (IJTE); 2023, Vol. 6 Issue 4, p656-680, 25p
Publikováno v:
Trends in Undergraduate Research. 2:e12-18
In this modern era, accidents could occur anywhere any time before prevention can be made. Life insurance could help lend a sum of money to reimburse the medical fees. But not everyone has life insurance, some people think that life insurance is a wa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9766c101c7b3afbc6f0b752d87fad75b
https://doi.org/10.33736/tur.1536.2019
https://doi.org/10.33736/tur.1536.2019
Publikováno v:
Applied Mechanics and Materials. 892:219-227
Based on the datasets from UCI and Obstructive Sleep Apnea, a disparate methodology of uncovering the visualization effects into the pushed support constraints of schema enumerated tree-based classification techniques is proposed and presented in thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d10a8ed6c9545ff1798931f1529de2d
https://doi.org/10.4028/www.scientific.net/amm.892.219
https://doi.org/10.4028/www.scientific.net/amm.892.219
Publikováno v:
Applied Mechanics and Materials. 892:210-218
Boosted Association-Ruled Pruned Decision Tree (ARP-DT), the improved version of the Boosted Decision Tree algorithm, was developed by using association-ruled pre-and post-pruning techniques with referring to the pushed minimum support and minimum co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5519ba594a47ba9b5384d432da5e638
https://doi.org/10.4028/www.scientific.net/amm.892.210
https://doi.org/10.4028/www.scientific.net/amm.892.210
Publikováno v:
Advanced Science Letters. 24:1680-1684
The improved version of Boosted Decision Tree algorithm, named as Boosted Adaptive Apriori post-Pruned Decision Tree (Boosted AApoP-DT), was developed by referring to Adaptive Apriori (AA) properties and by using post-pruning technique. The post-prun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d47ee1ed909e10e33bd7a40fb4861eb
https://doi.org/10.1166/asl.2018.11136
https://doi.org/10.1166/asl.2018.11136
Autor:
Ming Leong Yii, Chee Siong Teh
Publikováno v:
Advanced Science Letters. 23:11083-11087
Without a form of visual feedback, multivariate data would be reduced to a lump of numbers that very few people would be able to appreciate and be benefited from. This research paper proposes a novel triangulate mapping technique based on selforganiz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::282df53d68d76fa86cc2777cb495eebe
https://doi.org/10.1166/asl.2017.10225
https://doi.org/10.1166/asl.2017.10225
Publikováno v:
Advanced Science Letters. 23:11593-11598
An improved Boosting algorithm, named as Boosted PARM-DT, was developed by pre-pruning techniques and Associative Rule Mining (ARM) on decision trees built from the clinical datasets** collected for Obstructive Sleep Apnea (OSA). The Pruned-Associati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26a70343714141060dda94f373be0d9b
https://doi.org/10.1166/asl.2017.10335
https://doi.org/10.1166/asl.2017.10335