Mining association rules for concept hierarchy in large database
Chien-Hua Wang, Wei-Hsuan Lee, Chin-Tzong Pang · Journal of Interdisciplinary Mathematics · 2018
The paper proposes a new method to mine multiple-level fuzzy association rules among items at a concept hierarchy, using fuzzy partition and FP-growth algorithm. The method primarily consists of two phases: one is to find fuzzy grids at each level and the other is to generate multiple-level fuzzy association rules from those frequent patterns. As demonstrate with realistic database and different thresholds, the experimental results illustrate the proposed method are perceived more efficient.