Zobrazeno 1 - 10
of 5 495
pro vyhledávání: '"Unstructured Data"'
Publikováno v:
European Journal of Marketing, 2024, Vol. 58, Issue 8, pp. 1858-1887.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/EJM-06-2022-0431
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background Efficient triage in emergency departments (EDs) is critical for timely and appropriate care. Traditional triage systems primarily rely on structured data, but the increasing availability of unstructured data, such as clinical note
Externí odkaz:
https://doaj.org/article/0b609c8fa86b47d0b4237be0e2a6406b
Autor:
Zhe Zhang
Publikováno v:
Energy Informatics, Vol 7, Iss 1, Pp 1-27 (2024)
Abstract To address the complex challenges in energy systems, this study proposes a novel optimization framework that integrates fuzzy decision support and unstructured data processing technologies. This framework aims to improve efficiency, reduce c
Externí odkaz:
https://doaj.org/article/2719f257fef741dd8928d33c598a7956
Publikováno v:
Cogent Engineering, Vol 11, Iss 1 (2024)
This paper proposes a novel approach to utilizing open-source legal databases in academic education, especially in the fields of law and police investigations. Our framework provides a way to organize and analyze this data and extract reports that ar
Externí odkaz:
https://doaj.org/article/b653166054294d859f9e4aacddcb8876
Autor:
Lee, Changro
Publikováno v:
Data Technologies and Applications, 2023, Vol. 58, Issue 2, pp. 267-279.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/DTA-12-2022-0461
Autor:
Shubham Jain, Enda Fallon
Publikováno v:
IEEE Access, Vol 12, Pp 77959-77975 (2024)
The rise of multi-modal unstructured data has intensified the need for advanced processing solutions capable of deriving meaningful insights efficiently. UDNet emerges as a concurrent ML processing framework that leverages its novel methodologies, sp
Externí odkaz:
https://doaj.org/article/4d4522f0b4314f76b432e2afc8661702
Publikováno v:
Georesursy, Vol 25, Iss 4, Pp 149-162 (2024)
The article describes the project being developed for the digital scientific platform “Aggregator of unstructured geological and field data”, which could potentially be important for the oil and gas industry. The use of new intelligent technologi
Externí odkaz:
https://doaj.org/article/09edabd200214656bc288b11db16e442
Publikováno v:
IEEE Access, Vol 12, Pp 57917-57946 (2024)
Challenges in the big data phenomenon arise due to the existence of unstructured text data, which is very large, comes from various sources, has various formats, and contains much noise. The complexity of unstructured text data makes it difficult to
Externí odkaz:
https://doaj.org/article/8a82155f337d4f17a427f644365eb9e5
Autor:
Lella Kranthi Kumar, Venkata Nagaraju Thatha, Pamula Udayaraju, D. Siri, G. Uday Kiran, B. N. Jagadesh, Ramesh Vatambeti
Publikováno v:
IEEE Access, Vol 12, Pp 28972-28987 (2024)
Sentiment Analysis (SA) holds considerable significance in comprehending public perspectives and conducting precise opinion-based evaluations, making it a prominent theme in natural language processing research. With the increasing trend of online sh
Externí odkaz:
https://doaj.org/article/be12f1b1f96b4e1e8714b712f4f8e885
Publikováno v:
Journal of Big Data, Vol 10, Iss 1, Pp 1-23 (2023)
Abstract The task of insights extraction from unstructured text poses significant challenges for big data analytics because it contains subjective intentions, different contextual perspectives, and information about the surrounding real world. The te
Externí odkaz:
https://doaj.org/article/f07619f797fc4df3b4e8d8bb28fcf8f8