Multidimensional Data Mining of Association Patterns in Various Granularities

摘要：

Data Mining is one of the most significant tools for discovering association patterns that are useful for health services, Customer Relationship Management (CRM) etc. Yet, there are some drawbacks in existing mining techniques, including redundant scans and information loss at different granularities. This paper aims to provide a novel approach to solving the aforementioned problems without sacrificing effectiveness and efficiency, while finding association rules at various granularities.

关键词： Multidimensional Data Mining Granular Computing Concept Tax-onomy Healthcare Services CRM Association Pattern

作者: Johannes K. Chiang Yuan-Cheng Jan Liang Yuxian Eugene

作者单位: Department of Management Information System National Chengchi University Taipei, Taiwan Department of Computer Science National Chengchi University Taipei, Taiwan

会议类型: 国际会议

会议名称: 2010 Third Pacific-Asia Conference on Web Mining and Web-based Application(2010年第三届web挖掘和基于web应用亚太会议 WMWA 2010)

会议地点: 桂林

会议语种:英文

页码: 251-254

在线出版日期: 2010-11-17（万方平台首次上网日期，不代表论文的发表时间）