IEEE ACCESS SPECIAL SECTION EDITORIAL: BIG DATA LEARNING AND DISCOVERY

被引：1
|
作者：
Gao, Zhong-Ke [1 ]
Liu, An-An [1 ]
Wang, Yanhui [2 ]
Small, Michael [3 ]
Chang, Xiaojun [4 ]
Kurths, Juergen [5 ,6 ,7 ]
机构：
[1] Tianjin Univ, Sch Elect & Informat Engn, Tianjin 300072, Peoples R China
[2] Tianjin Univ, Sch Mech Engn, Tianjin 300352, Peoples R China
[3] Univ Western Australia, Sch Phys Maths & Comp, Perth, WA 6009, Australia
[4] Monash Univ, Fac Informat Technol, Clayton Campus, Clayton, Vic 3800, Australia
[5] Humboldt Univ, Inst Phys, D-12489 Berlin, Germany
[6] Potsdam Inst Climate Impact Res, Dept Complex Sci, D-14473 Potsdam, Germany
[7] Lobachevsky Univ, Dept Informat Technol, Nizhnii Novgorod 603950, Russia
来源：
IEEE ACCESS | 2021年 / 9卷
关键词：
FEATURE-SELECTION; NEURAL-NETWORKS; STOCK-MARKET; PREDICTION; INFORMATION; ALGORITHM; ENSEMBLE; SYSTEM;
D O I：
10.1109/ACCESS.2021.3127335
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
[No abstract available]
引用
收藏
页码：158064 / 158073
页数：10
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