Results 181 to 190 of about 530 (210)

Targeted High-Utility Itemset Querying

IEEE Transactions on Artificial Intelligence, 2021
Jinbao Miao, Shicheng Wan, Wensheng Gan, Jiayi Sun 0002, Jiahui Chen 0002   +4 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

PHM: Mining Periodic High-Utility Itemsets

2016
High-utility itemset mining is the task of discovering high-utility itemsets, i.e. sets of items that yield a high profit in a customer transaction database. High-utility itemsets are useful, as they provide information about profitable sets of items bought by customers to retail store managers, which can then use this information to take strategic ...
Philippe Fournier-Viger, Jerry Chun-Wei Lin, Quang-Huy Duong, Thu-Lan Dam   +3 more
openaire   +1 more source

HMiner: Efficiently mining high utility itemsets

Expert Systems with Applications, 2017
Abstract High utility itemset mining problem uses the notion of utilities to discover interesting and actionable patterns. Several data structures and heuristic methods have been proposed in the literature to efficiently mine high utility itemsets.
openaire   +1 more source

Parallel High Utility Itemset Mining

2022
Gaojuan Fan, Huaiyuan Xiao, Chongsheng Zhang, George Almpanidis, Philippe Fournier-Viger, Hamido Fujita   +5 more
openaire   +1 more source

Utility-Oriented Gradual Itemsets Mining Using High Utility Itemsets Mining

2023
Priscile Audrey Fongue Assondji, Jerry Lonlac, Norbert Tsopzé   +2 more
openaire   +2 more sources

Targeted Querying of Closed High-Utility Itemsets

2023 IEEE International Conference on Big Data (BigData), 2023
Shan Huang 0009, Wensheng Gan, Jinbao Miao   +2 more
openaire   +1 more source

An Efficient Method for Hiding High Utility Itemsets

2013
This paper proposes an algorithm to hide quickly high utility sensitive itemsets. To reduce the execution time, when an item from the sensitive itemset is selected, the rated value is calculated from each transaction containing this item and all values which need be hidden are modified at the same time.
Bay Vo, Chun-Wei Lin 0001, Tzung-Pei Hong, Vinh V. Vu, Minh Nguyen 0004, Bac Le   +5 more
openaire   +1 more source

Mining On-shelf High-utility Quantitative Itemsets

2021 IEEE International Conference on Big Data (Big Data), 2021
Lili Chen, Wensheng Gan, Qi Lin, Jinbao Miao, Chien-Ming Chen 0001   +4 more
openaire   +1 more source

High utility itemset mining using binary differential evolution: An application to customer segmentation

Expert Systems With Applications, 2021
Gutha Jaya Krishna
exaly