DocumentCode
2243761
Title
The improved On-Line Analysis Mining for multi-dimension data based on association rules
Author
Bo, Yang ; Yongqing, Zheng
Author_Institution
Coll. of Comput. Sci. & Technol., Shandong Univ., Jinan, China
Volume
2
fYear
2010
fDate
6-7 March 2010
Firstpage
345
Lastpage
348
Abstract
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.
Keywords
data analysis; data mining; OLAP operations; association rules; data mining; multidimension data attributes analysis; online analysis mining; rules searching; Asia; Association rules; Automatic control; Data analysis; Data mining; Data warehouses; Delta modulation; Informatics; Robot control; Robotics and automation; Association Rules; Data Mining; Multi-Dimension Data; OLAP;
fLanguage
English
Publisher
ieee
Conference_Titel
Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on
Conference_Location
Wuhan
ISSN
1948-3414
Print_ISBN
978-1-4244-5192-0
Electronic_ISBN
1948-3414
Type
conf
DOI
10.1109/CAR.2010.5456528
Filename
5456528
Link To Document