Mining Linguistic Valued Association Rules
Song Zi-lin · Acta Simulata Systematica Sinica · 2002
Mining linguistic valued association rules is an important issue of quantitative association rules. The information of membership hasn抰 been enough considered in the mining algorithm that we proposed before, so we propose the improved algorithm for mining linguistic valued association rules. In this algorithm we enough consider the information of membership, but the algorithm efficiency is not so high. In order to enhance the efficiency, a variable threshold is introduced and we propose an eclectic algorithm for mining linguistic valued association rules. The eclectic algorithm can save memory and time at the cost of losing few information of membership.