文献
J-GLOBAL ID:202002264943981484
整理番号:20A2615211
Skia:ビッグ空間テキストデータのためのスケーラブルで効率的なインメモリ解析【JST・京大機械翻訳】
Skia: Scalable and Efficient In-Memory Analytics for Big Spatial-Textual Data
著者 (6件):
Xu Yang
(Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China)
,
Yao Bin
(Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China)
,
Wang Zhi-Jie
(Guangdong Key Laboratory of Big Data Analysis and Processing, School of Data and Computer Science, Sun Yat-Sen University, Guangzhou, Guangdong, China)
,
Gao Xiaofeng
(Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China)
,
Xie Jiong
(Spatio-Temporal Cloud Computing Team, Alibaba Cloud, Beijing, China)
,
Guo Minyi
(Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China)
資料名:
IEEE Transactions on Knowledge and Data Engineering
(IEEE Transactions on Knowledge and Data Engineering)
巻:
32
号:
12
ページ:
2467-2480
発行年:
2020年
JST資料番号:
T0838A
ISSN:
1041-4347
CODEN:
ITKEEH
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)