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作 者:赵冠壹 韩松花 Zhao Guanyi;Han Songhua(School of Economics and Management,Yanbian University,Yanji 133002)
出 处:《图书情报工作》2024年第8期112-121,共10页Library and Information Service
摘 要:[目的 /意义]金融情报智能系统是实现金融情报智慧化分析的重要载体,基于ACP理论构建金融情报智能系统对于金融行业的转型与升级以及金融情报服务具有积极的指导作用。[方法 /过程]研究采用ACP平行理论方法,充分考虑金融大数据的属性特征,遵循“人工系统→计算实验→平行执行”的逻辑顺序,最终构建ACP理论驱动下的金融情报智能系统。[结果 /结论 ]所构建的情报系统主要由实际金融情报系统、人工金融情报系统以及计算实验与平行执行3个环节构成。在此基础上,基于量化投资、智能投顾以及金融欺诈三大层面细化分析所构建系统的主要应用场景,即智能量化投资服务平台、智能投顾服务平台与智能风控反欺诈管理服务平台。[Purpose/Significance]Financial information intelligence system is an important carrier to realize the intelligent analysis of financial information.The system based on ACP theory plays a positive guiding role in the transformation and upgrading of the financial industry and financial information service.[Method/Process]Based on ACP parallel theory,the research fully considered the attributes and characteristics of financial big data,followed the logical order in"artificial societies→computational experiments→parallel execution",and finally constructed the financial information intelligence system driven by it.[Result/Conclusion]The system in this paper is mainly composed of three parts,that is,the actual financial information system,artificial financial information system,and computing experiment and parallel execution.On this basis,from the quantitative investment,intelligent investment and financial fraud,it details the main service scenario of the system,namely intelligent quantitative investment service platform,intelligent investment service platform and intelligent risk control anti-fraud management service platform.
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