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IRFP-tree: Intersection Rule Based FP-tree
IRFP-tree(Intersection Rule Based FP-tree): 메모리 효율성을 향상시키기 위해 교집합 규칙 기반의 패러다임을 적용한 FP-tree
2016
KIPS Transactions on Software and Data Engineering
IRFP-tree(Intersection Rule Based FP-tree): 메모리 효율성을 향상시키기 위해 교집합 규칙 기반의 패러다임을 적용한 FP-tree
For frequency pattern analysis of large databases, the new tree-based frequency pattern analysis algorithm which can compensate for the disadvantages of the Apriori method has been variously studied. In frequency pattern tree, the number of nodes is associated with memory allocation, but also affects memory resource consumption and processing speed of the growth. Therefore, reducing the number of nodes in the tree is very important in the frequency pattern mining. However, the absolute criteria
doi:10.3745/ktsde.2016.5.3.155
fatcat:6djbmosfhvh2ljukunrg7n65cy