Results 191 to 200 of about 615 (220)

Mining high-utility itemsets with irregular occurrence

2017 9th International Conference on Knowledge and Smart Technology (KST), 2017
High-utility itemsets mining (HUIM) is proposed to discover itemsets giving high utilities (such as high profit, low cost/risk and other factors). This can help to extract hidden-knowledge from buying behavior of customers. However, HUIM may not sufficiently give hidden-knowledge and observe occurrence behavior of itemsets in some applications, since ...
Supachai Laoviboon, Komate Amphawan
openaire   +1 more source

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

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

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