基于本体的数据挖掘在CRM决策分析中的应用研究(英文)

电子商务客户关系管理中,实现基于语义层面上的挖掘是提高用户数据挖掘质量的一个关键性问题,本文融合了本体和数据挖掘技术,提出了基于本体的数据挖掘决策分析模型,利用基于本体的数据挖掘方法从语义层面上实现了对用户数据的挖掘,实现了用户数据的高效率和高精度挖掘,并根据挖掘结果进行决策分析,根据分析结果为用户提供基于RSS聚合的个性化服务.

Data Mining Based on Ontology in the CRM Decision Analysis

In Customer Relationship Management,it is a key issue to realize semantic-based mining to improve the quality of users data mining.Integrating the merits between Data Miningand Ontology technique,the paper proposes a Data Mining architecture based on Ontology technique.The paper uses data mining methods based on Ontology to achieve the users data mining from the semantic level,which realizes high efficiency and high precision mining to the user data.In accordance with the results of excavation to make decision analysis,the architecture provides users with personalized services based on RSS Aggregation.