Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Tong-yan Li"'
Publikováno v:
Guoji Yanke Zazhi, Vol 23, Iss 11, Pp 1907-1910 (2023)
Myopia is one of the main causes of visual impairment. In recent years, the incidence of myopia has been increasing. Effective prevention and control of myopia is essential for maintaining patients' visual function and quality of life. With the conti
Externí odkaz:
https://doaj.org/article/5467a90dce0b44df818948dd4c7ad1de
Publikováno v:
Guoji Yanke Zazhi, Vol 23, Iss 4, Pp 578-581 (2023)
The incidence of myopia is gradually on the rise worldwide, which seriously affects the eye health of teenagers and children, causing enormous loss of socioeconomic benefits. As a result, the prevention and control of myopia is crucial and urgent. In
Externí odkaz:
https://doaj.org/article/a971d2b2f246450f8c9dae623175e433
Publikováno v:
工程科学学报, Vol 43, Iss 5, Pp 585-593 (2021)
Bipolar plates are significant components in proton exchange membrane fuel cells (PEMFCs), thus playing a decisive role in the weight, volume, efficiency, durability, and cost of battery stacks. At present, the preparation technologies of metal and g
Externí odkaz:
https://doaj.org/article/812ab319e38d4ff39001878d1bc34a02
Publikováno v:
In Chinese Journal of Analytical Chemistry 2009 37(10):1547-1554
Autor:
Xing-Ming Li, Tong-Yan Li
Publikováno v:
Expert Systems with Applications. 38:1709-1715
Recently, the application of association rules mining becomes an important research area in alarm correlation analysis. However, the original alarms in the telecommunication networks cannot be used to mine association rules directly. This paper propo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5d3c35616b7b6b40c26e0aaada9db3c
https://doi.org/10.1016/j.eswa.2010.07.096
https://doi.org/10.1016/j.eswa.2010.07.096
A LFP-tree based method for association rules mining in telecommunication alarm correlation analysis
Autor:
Xing-ming Li, Tong-yan Li
Publikováno v:
The Journal of China Universities of Posts and Telecommunications. 14:6-15
The mining of association rules is one of the primary methods used in telecommunication alarm correlation analysis, of which the alarm databases are very large. The efficiency of the algorithms plays an important role in tackling with large datasets.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8847a60e504f4cb760e245036a47d59a
https://doi.org/10.1016/s1005-8885(08)60002-3
https://doi.org/10.1016/s1005-8885(08)60002-3
Akademický článek
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Autor:
Xing-ming Li, Tong-yan Li
Publikováno v:
IIH-MSP
Association rules mining is an important task in data mining and the normal measures support and confidence are useful for finding association rules between the items. However, the process of finding frequent items would prune infrequent items which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3608b928c81106e94ee74d9e375f14da
https://doi.org/10.1109/iih-msp.2008.73
https://doi.org/10.1109/iih-msp.2008.73
Autor:
Xing-Ming Li, Tong-Yan Li
Publikováno v:
2007 International Conference on Wavelet Analysis and Pattern Recognition.
The mining of weighted association rules is one of the primary methods used in telecommunication alarm correlation analysis, of which weight set is a difficulty. In this study, we propose a novel method which uses neural network to identify the alarm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7767266f49c0b25411f6979b1b13f446
https://doi.org/10.1109/icwapr.2007.4420767
https://doi.org/10.1109/icwapr.2007.4420767
Akademický článek
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