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General Information
ISSN:
1798-2340 (Online)
Frequency:
Monthly
DOI:
10.12720/jait
Indexing:
ESCI (Web of Science)
,
Scopus
,
CNKI
,
etc
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Acceptance Rate:
19%
APC:
500 USD
Average Days to Accept:
135 days
Journal Metrics:
Impact Factor 2022: 1.0
3.1
2022
CiteScore
49th percentile
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Editor-in-Chief
Prof. Kin C. Yow
University of Regina, Saskatchewan, Canada
I'm delighted to serve as the Editor-in-Chief of
Journal of Advances in Information Technology
.
JAIT
is intended to reflect new directions of research and report latest advances in information technology. I will do my best to increase the prestige of the journal.
What's New
2024-03-28
Vol. 15, No. 3 has been published online!
2024-02-26
The papers published in Vol. 15, Nos. 1&2 have been registered with Crossref.
2024-02-26
Vol. 15, No. 2 has been published online!
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2017
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Volume 8, No. 2, May 2017
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Towards Multiple Regression Analyses for Relationships of Air Quality and Weather
Kevin Kam Fung Yuen
Department of Computer Science and Software Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, China
Abstract
—Multiple regression is a common data analytic approach to be applied in many areas. The regression objective is to learn regression coefficients, and therefore can be used to evaluate the statistical significant relationships between variables with statistics tests and predict the future values on the basis of the statistical significant relationships. The sample data of air quality and weather in Hong Kong has been analyzed. The pilot study shows factors with statistical significance to pollutant, PM2.5.
Index Terms—
regression, feature selection, environment analysis, air quality analysis, PM2.5
Cite: Kevin Kam Fung Yuen, "Towards Multiple Regression Analyses for Relationships of Air Quality and Weather," Vol. 8, No. 2, pp. 135-140, May, 2017. doi: 10.12720/jait.8.2.135-140
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