CRM系统中基于agent的在线分析挖掘

Chen Feng, Wang Cong, Lin Jie
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引用次数: 4

摘要

本文提出了基于智能体的在线分析挖掘(OLAM)模型,并提出了基于多基地协作技术的广义数据仓库,使数据挖掘不仅适用于结构化数据,也适用于文本、知识等复杂数据。此外,我还应用Union-IADS理论构建了一个数据空间,该数据空间由上面提到的通用数据仓库和数据集市组成。最后,将基于agent的OLAM模型和数据空间集成到一个统一的框架中,构建智能CRM系统,这是构建CRM系统的一次新的尝试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Agent-based on-line analytical mining in CRM system
The OLAM (on-line analytical mining) model based on agent is proposed in this paper, and a generalized data warehouse built on multi-bases cooperation technique is proposed, which makes DM applicable not only on structured data, but also on complicated data such as text, knowledge and so on. Furthermore, I apply the theory of Union-IADS to construct a data space that comprises the generalized data warehouse mentioned above and data marts. In the end, to build an intelligent CRM system, I integrate the agent-based OLAM model and the data space into a unifying framework, which is a new try on building a CRM system.
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