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Assessing Students for Industry Readiness using Classificat..:

, In: Proceedings of the 9th International Conference on Applied Computing & Information Technology,

Hossain Molla, Jakir ; Basak, Sandip Kumar ; Obaidullah, Sk Md... - p. 25-29 , 2022

Link: https://dl.acm.org/doi/10.1145/3543895.3543929

RT 
T1 <cTitle>Proceedings of the 9th International Conference on Applied Computing & Information Technology</cTitle>: T1 <Title>Assessing Students for Industry Readiness using Classification Methods</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3543929&Exemplar=1&LAN=DE
				
A1 Hossain Molla, Jakir
A1 Basak, Sandip Kumar
A1 Obaidullah, Sk Md
A1 Alam, Parveen Ahmed
A1 Goto, Takaaki
A1 Sen, Soumya
PB ACM
YR 2022
K1 Classification
K1 Decision Tree
K1 Placement data
K1 Random Forest
K1 Random oversampling
K1 Social and professional topics
K1 Applied computing
K1 Professional topics
K1 Computing methodologies
K1 Machine learning
K1 Computing education
K1 Learning paradigms
K1 Supervised learning
K1 Machine learning approaches
K1 Classification and regression trees
K1 Computing education programs
K1 Computer science education
K1 Supervised learning by classification
SP 25
OP 29
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3543895.3543929
DO https://dl.acm.org/doi/10.1145/3543895.3543929
SF ELIB - SuUB Bremen

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