Strong Association Rules Mining Without Using Frequent Items for Microarray Analysis
Miao Wang, Xuequn Shang, Qian Zhao, Zhanhuai Li · 2009
Microarray technology has created a revolution in the field of biological research. Association rules can not only group the similarly expressed genes but also discern relationships among genes. However, the efficiency of traditional method to generate association rules is not very well. We develop a novel algorithm, SAW, to generate strong association rules by combining the paired rules, which can avoid lots of unnecessary computing that traditional method often encounter. The experiments show our method is more efficiently than FARMER.