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Mining high average-utility itemsets

2009 IEEE International Conference on Systems, Man and Cybernetics, 2009
The average utility measure is adopted in this paper to reveal a better utility effect of combining several items than the original utility measure. A mining algorithm is then proposed to efficiently find the high average-utility itemsets. It uses the summation of the maximal utility among the items in each transaction including the target itemset as ...
Tzung-Pei Hong   +2 more
openaire   +1 more source

Mining Local High Utility Itemsets

2018
High Utility Itemset Mining (HUIM) is the task of analyzing customer transactions to find the sets of items that yield a high utility (e.g. profit). A major limitation of traditional HUIM algorithms is that they do not consider that the utility of itemsets vary over time.
Philippe Fournier-Viger   +4 more
openaire   +1 more source

Exploiting High Utility Occupancy Patterns

2017
Most studies have considered the frequency as sole interestingness measure for identifying high quality patterns. However, each object is different in nature, in terms of criteria such as the utility, risk, or interest. Besides, another limitation of frequent patterns is that they generally have a low occupancy, and may not be truly representative ...
Wensheng Gan   +3 more
openaire   +1 more source

An approach for high utility pattern mining

International Journal of Data Analysis Techniques and Strategies, 2018
Mining high utility pattern has become prominent as it provides semantic significance (utility/weighted patterns) associated with items in a transaction. Data analysis and respective strategies for mining high utility patterns is important in real world scenarios.
Dutta Borah Malaya, Rajni Jindal
openaire   +1 more source

Mining High Utility Sequences with a Novel Utility Function

2021 13th International Conference on Knowledge and Systems Engineering (KSE), 2021
Hanh-Thong Huynh   +4 more
openaire   +1 more source

Generalized maximal utility for mining high average-utility itemsets

Knowledge and Information Systems, 2021
Wei Song 0004, Lu Liu, Chaomin Huang
openaire   +1 more source

A residual utility-based concept for high-utility itemset mining

Knowledge and Information Systems, 2023
Pushp Sra, Satish Chand
openaire   +1 more source

Targeted High-Utility Itemset Querying

IEEE Transactions on Artificial Intelligence, 2021
Jinbao Miao   +4 more
openaire   +1 more source

Stable High Utility Itemset Mining

The 23rd International Conference on Information Integration and Web Intelligence, 2021
Acquah Hackman   +3 more
openaire   +1 more source

ProUM: Projection-based utility mining on sequence data

Information Sciences, 2020
Wensheng Gan   +2 more
exaly  

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