A UML-EXTENDED APPROACH FOR MINING OLAP DATA CUBES IN COMPLEX KNOWLEDGE DISCOVERY ENVIRONMENTS

摘要：

In this paper, we propose theoretical assertions and practical instances of an innovative UML-extended approach for mining OLAP data cubes in complex knowledge discovery environments. This analytical contribution is further extended by means of a comprehensive set of case studies that clearly demonstrate the feasibility and the benefits of the proposed approach in the context of next generation Data Warehousing/Data-Mining platforms.

关键词： Mining OLAP data cubes UML Complex knowledge discovery environments

作者: Alfredo Cuzzocrea

作者单位: ICAR-CNR and University of Calabria, Cosenza, Italy

会议类型: 国际会议

会议名称: 13th International Conference on Enterprise Information System(第13届企业信息系统国际会议 ICEIS 2011)

会议地点: 北京

会议语种:英文

页码: 2167-2175

在线出版日期: 2011-06-08（万方平台首次上网日期，不代表论文的发表时间）