基于web的资金交易数据动态多模式可视化分析工具的研究与设计

Xiaonan Lv, Zongwei Huang, Liangyu Sun, M. Wu, Li Huang, Yehong Li
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引用次数: 0

摘要

对于多源异构复杂数据类型的数据清洗和可视化显示,我们提出构建动态多模式可视化分析工具,根据用户按照不同类型的数据设计数据模型,并利用可视化技术工具构建和使用CQRS技术进行设计,外部接口采用RESTFul架构,将领域模型和数据查询完全分离,底层数据存储采用Hbase;ES和关系数据库。数据流引擎采用了Drools。根据内部算法,可以输出交易关系网络分析图、资金流向分析图和交易时序分析图三种图形,可以降低分析难度,帮助用户更友好地分析数据
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Research and design of web-based capital transaction data dynamic multi-mode visual analysis tool
For multi-source heterogeneous complex data types of data cleaning and visual display, we proposed to build dynamic multimode visualization analysis tool, according to the different types of data designed by the user in accordance with the data model, and use visualization technology tools to build and use CQRS technology to design, external interface using a RESTFul architecture, The domain model and data query are completely separated, and the underlying data store adopts Hbase, ES and relational database. Drools is adopted in the data flow engine. According to the internal algorithm, three kinds of graphs can be output, namely, transaction relationship network analysis graph, capital flow analysis graph and transaction timing analysis graph, which can reduce the difficulty of analysis and help users to analyze data in a more friendly way
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