We design an efficient CoUPM algorithm for mining the correlated and high-utility patterns from quantitative databases in one phase. The revised utility-list ...
Apr 6, 2019 · The derived patterns with high utility and strong positive correlation can lead to more insightful availability than those patterns only have ...
In this paper, we propose an efficient utility mining approach namely non-redundant Correlated high-Utility Pattern Miner (CoUPM) by considering both strong ...
The utility-list-based CoUPM algorithm is for correlated utilitybased pattern mining (Gan et al., 2019a) . Tung et al. (2022) proposed an algorithm for mining ...
In this paper, we propose an ef- ficient utility mining approach namely non-redundant Correlated high-Utility Pattern Miner (CoUPM) by considering both strong.
In this paper, we propose an efficient utility mining approach namely non-redundant Correlated high-Utility Pattern Miner (CoUPM) by considering both strong ...
Jul 2, 2019 · By analyzing the variability of the variables we can reveal patterns that repeat or that are correlated, which helps to understand the behaviour ...
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A utility-list-based algorithm called Flexible Correlated Utility-based Pattern (FCoUP) is proposed and some pruning strategies with the designed upper ...
Positive Correlation Based Efficient High Utility Pattern Mining Approach
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Jan 1, 2022 · Correlated high-Utility Pattern Miner (CoUPM) [18] is a one-phase algorithm that uses the utility-list structure to store important details of ...
First, we combine the concept of bond correlation used in FIM with the concept of HUIs to define a new type of patterns named correlated high-utility itemsets ( ...