| Title | Research and design of web-based capital transaction data dynamic multi-mode visual analysis tool |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Lv, Xiaonan, Huang, Zongwei, Sun, Liangyu, Wu, Miaomiao, Huang, Li, Li, Yehong |
| Conference Name | 2022 IEEE 7th International Conference on Smart Cloud (SmartCloud) |
| Keywords | composability, CQRS, data cleaning, Data visualization, dynamic multi-mode, Heuristic algorithms, Human Behavior, Metrics, Multi-source heterogeneous data, Network analyzers, pubcrawl, relational database security, relational databases, resilience, Resiliency, Soft sensors, Time series analysis, visualization |
| Abstract | 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 |
| DOI | 10.1109/SmartCloud55982.2022.00033 |
| Citation Key | lv_research_2022 |
Research and design of web-based capital transaction data dynamic multi-mode visual analysis tool