标题：The Improved On-Line Analysis Mining for Multi-Dimension Data Based on Association Rules
作者：Yang Bo; Zheng Yongqing
作者机构：[Yang Bo; Zheng Yongqing] Shandong Univ, Coll Comp Sci & Technol, Shandong, Peoples R China.
会议名称：2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR)
会议日期：MAR 06-07, 2010
来源：2010 2ND INTERNATIONAL ASIA CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS (CAR 2010), VOL 2
关键词：Multi-Dimension Data; OLAP; Data Mining; Association Rules
摘要：In the paper, we discussed the characteristics of data mining on association rules for multi-dimension data. Then through the multi-dimension data attributes analysis and OLAP operations, we integrate the OLAP and data mining based on their advantages to one method which is called On-Line Analysis Mining (OLAM) . Based on OLAM, an algorithm for multi-dimension data on association rules has been reformed. It can improve the efficiency and flexible of rules searching. Finally, our performance has proved the algorithm.