A BIG DATA PROCESSING METHODS FOR VISUALIZATION

被引：0
|
作者：
Fu, Qunchao [2 ]
Liu, Wanheng [1 ]
Xue, Tengfei [2 ]
Gu, Heng [2 ]
Zhang, Siyue [2 ]
Wang, Cong [2 ]
机构：
[1] Chinese Peoples Liberat Army Gen Hosp, Telemed Ctr, Beijing, Peoples R China
[2] Beijing Univ Posts & Telecommun, Beijing 100876, Peoples R China
来源：
2014 IEEE 3RD INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENCE SYSTEMS (CCIS) | 2014年
关键词：
Binned aggregation; Multivariate data tiles; Interactive in binned plots; Big data visual;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The current visualization has been difficult to adapt to the growing of big data. The paper presents method to use binned aggregation to reduce big data for visualize a variety of data types. Givens a data storage scheme of the dimensionality reduction block. Then for interactive visualization in binned plots through multivariate data tiles. For a large range of data, we cut into a lot of small pieces. When carrying out a range query, just use the divided pieces of data for this range be spliced. The big data through reduction into data block and be interactive checking among binned plots through many multivariate data tiles.
引用
收藏
页码：571 / 575
页数：5
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