Big Data And Analytics: Concepts, Techniques, Methods, and Applications

被引:1
作者
Kaisler, Stephen H. [1 ]
Armour, Frank J. [2 ]
Espinosa, Alberto J. [2 ]
机构
[1] SHK & Associates, Laurel, MD 20723 USA
[2] Amer Univ, Kogod Sch Business, Washington, DC 20016 USA
来源
PROCEEDINGS OF THE 49TH ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS 2016) | 2016年
关键词
D O I
10.1109/HICSS.2016.135
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The Big Data minitrack features a number of papers addressing methods and techniques, issues and challenges, and organizational approaches to processing and managing Big Data within an organizational environment. This year three papers focus on the financial domain, one on competitive sports, one on mobile advertising, and one paper on a framework for Big Data coordination and governance. These papers contribute to a growing body of practical technical techniques for using a variety of analytical methods to process Big Data in a business operations environment. And, they contribute to a framework for managing Big Data activities within a business environment.
引用
收藏
页码:1059 / 1060
页数:2
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