文献
J-GLOBAL ID:202102274944021176
整理番号:21A1193729
異種データソースからの情報マイニング:干ばつ予測に関する事例研究【JST・京大機械翻訳】
Information Mining from Heterogeneous Data Sources: A Case Study on Drought Predictions
著者 (7件):
Demisse Getachew B.
(National Drought Mitigation Center, School of Natural Resources, University of Nebraska-Lincoln, Hardin Hall, 3310 Holdrege Street, P.O. Box 830988, Lincoln, NE 68583-0988, USA)
,
Tadesse Tsegaye
(National Drought Mitigation Center, School of Natural Resources, University of Nebraska-Lincoln, Hardin Hall, 3310 Holdrege Street, P.O. Box 830988, Lincoln, NE 68583-0988, USA)
,
Atnafu Solomon
(Department of Computer Science, Addis Ababa University, P.O. Box 1176, Addis Ababa, Ethiopia)
,
Hill Shawndra
(The Wharton School, University of Pennsylvania, Philadelphia, PA 19104, USA)
,
Wardlow Brian D.
(National Drought Mitigation Center, School of Natural Resources, University of Nebraska-Lincoln, Hardin Hall, 3310 Holdrege Street, P.O. Box 830988, Lincoln, NE 68583-0988, USA)
,
Bayissa Yared
(National Drought Mitigation Center, School of Natural Resources, University of Nebraska-Lincoln, Hardin Hall, 3310 Holdrege Street, P.O. Box 830988, Lincoln, NE 68583-0988, USA)
,
Shiferaw Andualem
(National Drought Mitigation Center, School of Natural Resources, University of Nebraska-Lincoln, Hardin Hall, 3310 Holdrege Street, P.O. Box 830988, Lincoln, NE 68583-0988, USA)
資料名:
Information (Web)
(Information (Web))
巻:
8
号:
3
ページ:
79
発行年:
2017年
JST資料番号:
U7203A
ISSN:
2078-2489
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
スイス (CHE)
言語:
英語 (EN)