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As an importance task and method for Data Mining, clustering analysis has a great impact on algorithmic efficiency and clustering quality, which is one of difficult problems in Computer Science area.
聚类分析是数据挖掘中一种重要的挖掘任务和挖掘方法，使得聚类算法的效率和聚类质量在数据挖掘中起着至关重要的作用，也成了计算机科学领域的难题之一。
In this paper, a comprehensive analysis of existing customer segmentation approach and focus on data mining in the area of customer segmentation on the application.
该文综合分析了现有的客户细分方法，并着重对数据挖掘技术在客户细分领域的应用进行阐述。
Semantic Web data mining is a data mining area based on semantic Web, which introduce new challenges to data mining research.
语义网络数据挖掘是基于语义网络环境的数据挖掘，它给数据挖掘技术的应用研究提出了新的课题。
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