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Visualization of Coalition Data Based on Multi View Cooperation |
Shen Xuefeng( ), Ke Yongzhen, Yao Nan |
School of Computer Science & Software Engineering, Tianjin Polytechnic University, Tianjin 300387, China |
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Abstract [Objective] This paper proposes a data visualization model to retrieve, analyze and present historical records from a data coalition, aiming to improve the knowledge discovery. [Methods] We constructed a model for the visual data analysis system, and then used a big data platform to examine its feasibility. [Results] The proposed system could analyze massive historical data and then support the decision making procedures. [Limitations] The current visual analysis result views could be further improved by adding more chart templates. [Conclusions] The proposed system could analyze historical data from the library alliance and provide valuable information for decision makers.
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Received: 14 November 2016
Published: 25 September 1985
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