Title :
Simulation data analysis and study of CQMAR algorithm
Author :
Xue, Qing ; Yun, Fei ; Zhou, Shaoliang
Author_Institution :
Aeademy of Armored Force Eng., Beijing, China
Abstract :
The classification and the need of association rules have been outlined, for the analysis of simulation data, this article has proposed CQMAR algorithm (CAIM and Quantitative Matrix Algorithm for Association Rules Analyzing), which only scans the database once, and can handle multi-value data. CQMAR algorithm has a strong practical effect, which improves the timeliness and accuracy of analysis, and has important reference value for simulation data for analysis and summary of findings.
Keywords :
classification; data analysis; data mining; matrix algebra; CQMAR Algorithm; association rules; classification; multivalue data; simulation data analysis; Encoding; Itemsets; Variable speed drives; AQMAR algorithm; Apriori algorithm; association rules; simulation data;
Conference_Titel :
Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-6582-8
DOI :
10.1109/ICICISYS.2010.5658600
