Ontology-based semantic data interestingness using BERT models

The COVID-19 pandemic has generated massive data in the healthcare sector in recent years, encouraging researchers and scientists to uncover the underlying facts. Mining interesting patterns in the large COVID-19 corpora is very important and useful for the decision makers. This paper presents a nov...

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Principais autores:	Abhilash CB, Kavi Mahesh, Nihar Sanda
格式:	Artigo
語言:	Inglês
出版:	Taylor & Francis Group 2023-12-01
叢編:	Connection Science
主題:	semantic data mining semantic interestingness association rule mining ontology-methods bert models
在線閱讀:	http://dx.doi.org/10.1080/09540091.2023.2190499
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