Zobrazeno 1 - 10
of 121
pro vyhledávání: '"Relationship mining"'
Publikováno v:
Franklin Open, Vol 6, Iss , Pp 100065- (2024)
The professional contacts of a person, including their past colleagues and supervisors, can play an important role in job recommendation and intelligent human resources management. However, collecting such information on a large scale can be challeng
Externí odkaz:
https://doaj.org/article/3d6a97662c014dd38787592f3b7d7ad1
Autor:
Xu Hui
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Because of the current relatively lagging writing ability and the current situation of English teaching that separates reading and writing, input and output, this paper proposes the reading and writing integration model to improve English teaching. T
Externí odkaz:
https://doaj.org/article/a36a22d9d5c7495a939822709bc04cab
Akademický článek
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Publikováno v:
BMC Medical Informatics and Decision Making, Vol 20, Iss S4, Pp 1-11 (2020)
Abstract Background Semantic web technology has been applied widely in the biomedical informatics field. Large numbers of biomedical datasets are available online in the resource description framework (RDF) format. Semantic relationship mining among
Externí odkaz:
https://doaj.org/article/b4c41d18249248a98b7632805ec0383b
Akademický článek
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Publikováno v:
Sensors, Vol 21, Iss 13, p 4526 (2021)
Gas-path anomalies account for more than 90% of all civil aero-engine anomalies. It is essential to develop accurate gas-path anomaly detection methods. Therefore, a weakly supervised gas-path anomaly detection method for civil aero-engines based on
Externí odkaz:
https://doaj.org/article/e7c6e1ac4ca04db9979100739ab2f19b
Publikováno v:
IEEE Transactions on Emerging Topics in Computational Intelligence. 6:66-76
The industrial Internet of things (IIoT), a new computing mode in Industry 4.0, is deployed to connect IoT devices and use communication technology to respond to control commands and handle industrial data. IIoT is typically employed to improve the e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f184d3bc753fd7a089e2ab07dbfe263
https://doi.org/10.1109/tetci.2020.3023155
https://doi.org/10.1109/tetci.2020.3023155
Autor:
OLPAK, Yusuf Ziya, YAĞCI, Mustafa
Publikováno v:
Volume: 4, Issue: 2 181-195
Journal of Teacher Education and Lifelong Learning
Journal of Teacher Education and Lifelong Learning
Today, most educational institutions have become more interested in big data. Because the importance of extracting useful information from educational data to support decision-making on educational issues has increased day by day. In this context, th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6400aaf7f95d72195adcd27964b9b46
https://doi.org/10.51535/tell.1192930
https://doi.org/10.51535/tell.1192930
Autor:
Bakić, Tina
Tema ovoga rada dubinska je analiza podataka vezanih uz edukaciju. U radu je predstavljena povijesna i teorijska pozadina područja dubinske analize podataka, istaknute su važne metode te je prikazana provedena analiza nad podacima iz područja eduk
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4131::a2f240c068080f256ad34c454fa28074
https://repozitorij.fer.unizg.hr/islandora/object/fer:9726
https://repozitorij.fer.unizg.hr/islandora/object/fer:9726
Publikováno v:
Journal of Geographical Sciences. 30:251-266
The objective, connotations and research issues of big geodata mining were discussed to address its significance to geographical research in this paper. Big geodata may be categorized into two domains: big earth observation data and big human behavio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0da10a843dc5dbfdeae5d7ed132355f8
https://doi.org/10.1007/s11442-020-1726-7
https://doi.org/10.1007/s11442-020-1726-7