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【目的】针对当前联盟数据在进行知识发现过程中存在的问题,设计联盟数据可视分析系统模型,实现对历史信息的采集、挖掘和可视化分析。【方法】构建联盟数据可视分析系统模型,搭建大数据平台,验证模型的可用性。【结果】实验结果表明,系统能够很好地对海量历史数据进行可视化分析,并支持决策分析。【局限】目前的可视分析结果视图还可以进一步丰富。【结论】该系统可以对联盟的历史数据进行可视化分析,为决策者提供科学化的数据支持。
【Objective】 Aiming at the problems existing in the process of knowledge discovery of allied data, a model of visual data analysis system of alliance is designed to realize the collection, mining and visualization of historical information. [Methods] Construct the model of affiliate data visual analysis system, set up the big data platform and verify the usability of the model. 【Result】 The experimental results show that the system can well visualize the massive historical data and support the decision analysis. [Limitations] The current view of visual analysis results can be further enriched. 【Conclusion】 The system can visualize the historical data of the alliance and provide scientific data support for decision makers.