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A Visualizer for High Utility Itemset Mining

2014 IEEE 17th International Conference on Computational Science and Engineering, 2014
Mining high utility item sets is one of the most important research issues in data mining owing to its ability to consider nonbinary frequency values of items in transactions and different profit values for each item. Although several studies have been carried out, current methods present the mined results in the form of textual lists for users, which ...
Wei Song, Mingyuan Liu
openaire   +1 more source

A predictive GA-based model for closed high-utility itemset mining

Applied Soft Computing, 2021
Chun-Wei Lin   +4 more
semanticscholar   +1 more source

Actionable high-coherent-utility fuzzy itemset mining

Soft Computing, 2014
Many fuzzy data mining approaches have been proposed for finding fuzzy association rules with the predefined minimum support from quantitative transaction databases. Since each item has its own utility, utility itemset mining has become increasingly important.
Chun-Hao Chen   +2 more
openaire   +2 more sources

An efficient utility-list based high-utility itemset mining algorithm

Applied intelligence (Boston), 2022
Zaihe Cheng   +4 more
semanticscholar   +1 more source

High-Utility Itemset Mining

2022
V. Jeevika Tharini, B.L. Shivakumar
openaire   +1 more source

High-Utility Itemset Mining in Big Dataset

2020
High-utility mining (HUIM) is an extended concept from frequent itemset mining (FIM). It emphasizes the more important factors, such as profits or the weight of an itemset in commercial applications. In this paper, we assume a dataset is too big to be loaded in the memory, then propose a MapReduce framework to handle this kind of situation, and try to ...
Jimmy Ming-Tai Wu   +3 more
openaire   +1 more source

Parallel High Utility Itemset Mining

2022
Gaojuan Fan   +5 more
openaire   +1 more source

Pruning strategies for mining high utility itemsets

Expert Systems with Applications, 2015
Presents an efficient high utility mining method.Employs novel pruning strategies to limit the search space of utility mining.Compares the proposed method against a state-of-the-art utility mining method.Experimentally evaluates the system on eight real and synthetic benchmark datasets.Empirical results are found to be quite promising, especially for ...
openaire   +1 more source

Efficient evolutionary computation model of closed high-utility itemset mining

Applied intelligence (Boston), 2022
Chun-Wei Lin   +3 more
semanticscholar   +1 more source

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