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Big Data: Theoretical Aspects
被引：6
作者：
Haykin, Simon
[1
,2
]
Wright, Stephen
[3
,4
,5
,6
,7
]
Bengio, Yoshua
[8
,9
,10
,11
]
机构：
[1] McMaster Univ, Fac Engn, Hamilton, ON, Canada
[2] Royal Soc Canada, Ottawa, ON, Canada
[3] Univ Wisconsin, Comp Sci, Madison, WI USA
[4] Argonne Natl Lab, Argonne, IL 60439 USA
[5] Univ Chicago, Comp Sci, Chicago, IL 60637 USA
[6] Math Optimizat Soc, Philadelphia, PA USA
[7] Soc Ind & Appl Math, Philadelphia, PA USA
[8] MIT, Cambridge, MA 02139 USA
[9] Univ Montreal, Dept Comp Sci & Operat Res, Montreal, PQ, Canada
[10] Canadian Inst Adv Res, Toronto, ON, Canada
[11] NIPS Fdn, San Diego, CA USA
关键词：
Algorithm design and analysis;
Big data;
Computational modeling;
Data mining;
Information analysis;
Special issues and sections;
Statistical analysis;
D O I：
10.1109/JPROC.2015.2507658
中图分类号：
TM [电工技术];
TN [电子技术、通信技术];
学科分类号：
0808 ;
0809 ;
摘要：
This special issue highlights a number of algorithmic approaches that are fundamental to data analysis, both in formulating and solving problems that relate to Big Data. © 1963-2012 IEEE.
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页码：8 / 10
页数：3
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