Study and Application of Fuzzy Association Rule Mining Based on Matrix
Jun Qin · Modern Electronics Technique · 2009
In allusion to the Boolean association rules can′t express the association of fuzzy data,a series of definitions of fuzzy association rules and mining algorithm based on matrix for fuzzy association rules are proposed.The algorithm can store fuzzy pattern candidate sets and frequent sets compressible by constructing matrix structure,which effectively saves the memory cost for storing fuzzy pattern candidate sets and frequent sets,it only scans database twice,besides it can effectively reduce the I/O spending.FARMBM is applied to the simulation results of intrusion detection,and efficiency of the algorithm is verified by the experiment.