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The improved On-Line Analysis Mining for multi-dimension data based on association rules

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2 Author(s)
Yang Bo ; Coll. of Comput. Sci. & Technol., Shandong Univ., Jinan, China ; Zheng Yongqing

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.

Published in:

Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on  (Volume:2 )

Date of Conference:

6-7 March 2010