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Modelling an Adaptive Clustering Model for the Mining Commu..:
, In:
2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)
,
Y, Prathima.
;
Murugan, B. S.
- p. 775-782 , 2022
Link:
https://doi.org/10.1109/ICICICT54557.2022.9917762
RT T1 <cTitle>2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)</cTitle>: T1 <Title>Modelling an Adaptive Clustering Model for the Mining Community Using Learning Approaches</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9917762&Exemplar=1&LAN=DE A1 Y, Prathima. A1 Murugan, B. S. YR 2022 K1 Adaptation models K1 Adaptive systems K1 Social networking (online) K1 Semantics K1 Clustering algorithms K1 Data models K1 Inference algorithms K1 clustering K1 data analysis K1 dependency K1 deep learning K1 pre-trained model SP 775 OP 782 LK http://dx.doi.org/https://doi.org/10.1109/ICICICT54557.2022.9917762 DO https://doi.org/10.1109/ICICICT54557.2022.9917762 SF ELIB - SuUB Bremen
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