A big data processing methods for visualization

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 bi...

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Bibliographic Details
Main Authors: Qunchao Fu, Wanheng Liu, Tengfei Xue, Heng Gu, Siyue Zhang, Cong Wang
Format: Conference Proceeding
Language:English
Subjects:
Big data
Big data visual
Binned aggregation
Data visualization
Diseases
Filtering
Hospitals
Interactive in binned plots
Multivariate data tiles
Polymers
Visualization
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Summary: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.
ISSN:2376-5933
2376-595X
DOI:10.1109/CCIS.2014.7175800