We design an efficient CoUPM algorithm for mining the correlated and high-utility patterns from quantitative databases in one phase. The revised utility-list ...
In this paper, we propose an efficient utility mining approach namely non-redundant Correlated high-Utility Pattern Miner (CoUPM) by considering both strong ...
Apr 6, 2019 · The derived patterns with high utility and strong positive correlation can lead to more insightful availability than those patterns only have ...
Experimental results show that the non-redundant correlated high-utility patterns have more effectiveness than some other kinds of interesting patterns.
Abstract—In the field of data mining, many utility-oriented mining approaches have been extensively studied. Previous stud-.
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
link.springer.com › chapter
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 ...
People also ask
What is the pattern mining method?
Is pattern mining and data mining same?
What is mining rare patterns and negative patterns in data mining?
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 ...
A detailed survey on correlated high utility pattern mining, their methods, measures, data structures and pruning properties is presented. Pattern mining is ...