Complexity Science Management and Big Data

被引：0

作者：

Zheng Zhan ^{[1
]}

Zhao Wei ^{[2
]}

Zheng Xiaojing ^{[3
]}

Cai Tianqi ^{[4
]}

Taiyuanyuan ^{[4
]}

机构：

[1] Univ Toronto, Wuhan Univ, Int Software Sch, Wuhan, Peoples R China

[2] Wuhan Polytech Univ, Econ & Management Sch, Wuhan, Peoples R China

[3] Harbin Univ Commerce, Sch Management, Harbin, Peoples R China

[4] Wuhan Univ, Int Software Sch, Wuhan 430072, Peoples R China

来源：

2014 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING (GRC) | 2014年

关键词：

Complexity science management; big data; carrier;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper summarizes the main contributions of the five aspects of complexity science management, introduces the forefront research results of big data and big data era, and then puts forward that big data is the carrier of complexity science management. Two cases are studied, illustrating that the method of big data furnishes a powerful tool for the study of core problem of complexity science management - the study of human behavior.

引用

页码：374 / 381

页数：8

共 7 条

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[4] Nonlinear control oriented boiler modeling - A benchmark problem for controller design
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[5] TianqiCai H, 2013, ASSERTIVE ATTITUDES, P355
[6] Tsang IW, 2005, J MACH LEARN RES, V6, P363
[7] Xu xusong, 2010, COMPLEXITY SCI MANAG

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