One-Phase Temporal Fuzzy Utility Mining
Tzung‐Pei Hong, Chengyu Lin, Wei-Ming Huang, Shu-Min Li, Shyue-Liang Wang, Jerry Chun‐Wei Lin · 2020
Temporal utility mining is complicated than utility mining due to the time consideration. The former discusses the situation that different items may have different profit values and on-shelf time periods. In this paper, we handle the problem of temporal fuzzy utility mining, which simultaneously considers the temporal factor, purchased quantities, item profits and linguistic terms from a transaction database. In the past, we proposed a two-phase tree-based approach to solve this problem. In this paper, we further design a tree structure with less memory to store all the required information and with faster execution speed than the previous one. The experimental results show that the proposed method can get good performance on the execution efficiency and consumed memory size.