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Prediction of YouTube View Count using Supervised and Ensem..:
, In:
2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)
,
P, Manikandan
;
A, Manimuthu
;
J, Sharmila Rajam
. - p. 1038-1042 , 2022
Link:
https://doi.org/10.1109/ICACRS55517.2022.10029277
RT T1 <cTitle>2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)</cTitle>: T1 <Title>Prediction of YouTube View Count using Supervised and Ensemble Machine Learning Techniques</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10029277&Exemplar=1&LAN=DE A1 P, Manikandan A1 A, Manimuthu A1 J, Sharmila Rajam A1 K, Sathya Narayana Sharma YR 2022 K1 Measurement K1 Renewable energy sources K1 Video on demand K1 Portable computers K1 Machine learning algorithms K1 Social networking (online) K1 Predictive models K1 YouTube Trending video K1 Exploratory data analysis K1 Machine Learning K1 Regression Techniques K1 Ensemble Learning K1 Random Forest SP 1038 OP 1042 LK http://dx.doi.org/https://doi.org/10.1109/ICACRS55517.2022.10029277 DO https://doi.org/10.1109/ICACRS55517.2022.10029277 SF ELIB - SuUB Bremen
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