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

页码：158064 / 158073

页数：10

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