Research and application of transaction complement mining algorithm
Gang Fang · Computer Engineering and Applications Journal · 2008
An algorithm of transaction complement mining is presented,which uses transaction complement search strategy to generate candidate-items,the number of which is reduced by pruning subsets of frequent item sets and superset of non-frequent item sets,and further uses binary logic operation and transaction character to count support,its efficiency is improved.The algorithm is used to extract transverse spatial association rules,and its experiment indicates that the efficiency is fast and efficient.