文献
J-GLOBAL ID:202102239509226316
整理番号:21A2415462
ムンバイの大気汚染の傾向を予測するためのデータマイニング技術の適用【JST・京大機械翻訳】
Applying data mining technique to predict trends in air pollution in Mumbai
著者 (6件):
Sadhasivam Jayakumar
(School of Information Technology and Engineering (SITE), Vellore Institute of Technology, Vellore, India)
,
Muthukumaran V
(Department of Mathematics, School of Applied Science, REVA University, Bengaluru - 64.)
,
Thimmia Raja J
(School of Computing, Kalasalingam Academy of Research and Education, Tamilnadu-626128, India)
,
Vinothkumar V
(Department of Computer Science and Engineering, MVJ College of Engineering, Bangalore.)
,
Deepa R
(Chaitanya Bharathi Institute of Technology (A), Hyderabad, Telangana, India)
,
Nivedita V
(Department of Computer Science and Engineering, Dr. MGR Educational and Research Institute, Chennai.)
資料名:
Journal of Physics: Conference Series
(Journal of Physics: Conference Series)
巻:
1964
号:
4
ページ:
042055 (7pp)
発行年:
2021年
JST資料番号:
W5565A
ISSN:
1742-6588
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)