Green mining algorithm for big data based on random matrix

被引：0
作者：
Canwei W. [1 ]
机构：
[1] Department of Information and Engineering, Shandong Management University, Jinan
来源：
Canwei, Wang (wangcanwei@sina.com) | 1600年 / Science and Engineering Research Support Society卷 / 09期
关键词：
Convergence; Energy efficiency; Large data; Random matrix;
D O I：
10.14257/ijdta.2016.9.12.08
中图分类号：
学科分类号：
摘要：
Due to big data with related multi-dimensional characteristics, the effective means how to build processing mechanisms and algorithms are still problems; so that the algorithms on big data processing huge resources and time cost of computing, resulting in wasting of energy; for this problem the present study proposes a large data processing algorithm of random matrix theory application, can effectively improve the processing efficiency, thereby increasing the utilization of energy. Results show that the proposed algorithm can effectively reduce the amount of calculation, thus saving and calculating the required energy. © 2016 SERSC.
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页码：79 / 88
页数：9
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