Improved Positive and Negative Association Rules Mining Algorithm
Gao Zhi-nian · 2011
Aiming at the problems of the traditional positive and negative association rules,such as multi-scanning database and generating large candidate frequent itemset,on the basis of comparing recent research on association rules mi-ning,put forward an improved positive and negative association rules mining algorithm,which can accomplish mining positive and negative association rules by scanning Dataset twice;and improve the algorithm of mining the maximal frequent itemset,which result in upgrading the efficiency of the algorithm;besides,improve the standard of confidence le-vel,in order to increase the quality of association rules mining.