利用混合智能系统方法实现商业智能服务的自动化

R. Sonar
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引用次数: 13

摘要

商业智能包括许多工具、技术和技术。BI流程通常涉及人工决策者和最终用户团队,以提取、探索和分析数据。分析后的结果、决策或模型需要实现到操作系统中。在业务事件发生和采取行动之间可能存在相当长的时间延迟,从而失去机会。智能技术,如基于规则的推理和基于案例的推理已经广泛用于解决广泛的智能任务,包括个性化和推荐。一些BI任务可以通过服务进行建模、自动化和交付,而不是在特定的基础上完成。作者代表了一种基于服务的BI方法,其中服务对应于一个定义良好的分析功能,该功能使用智能技术、过滤技术或它们的混合技术实现,仅从专门为此类任务建模和设计的数据库中访问相关数据。讨论了该方法在移动领域增值业务中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards Automation of Business Intelligence Services Using Hybrid Intelligent System Approach
Business Intelligence BI includes many tools, techniques and technologies. BI processes often involve team of human decision makers and end-users to extract, explore and analyse the data. The results, decisions or models after analysis need to be implemented into operational systems. There can be considerable time delay between business events happening and action taken thus loosing opportunities. Intelligent techniques such as rule-based reasoning and case-based reasoning have been used extensively to address wide range of intelligent tasks including personalisation and recommendation. Some BI tasks can be modelled, automated and delivered through services rather than done on ad-hoc basis. The authors represent a service based approach to BI where a service corresponds to a well defined analytical functionality implemented using intelligent techniques, filtering techniques or hybrids of them accessing only relevant data from database specifically modelled and designed for such tasks. The authors discuss an application of the approach for a value-added service in mobile domain.
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