Results 81 to 90 of about 15,313,957 (171)
Mining high utility itemsets in massive transactional datasets [PDF]
, 2011 Mining High Utility Itemsets from a transaction database is to find itemsets that have utility beyond an user-specified threshold. Existing High Utility Itemsets mining algorithms suffer from many problems when being applied to massive transactional ...
Thi Vu Duc, Nguyen Huy Duc
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A Hybrid Method for High-Utility Itemsets Mining in Large High-Dimensional Data
, 2009 Existing algorithms for high-utility itemsets mining are column enumeration based, adopting an Apriorilike candidate set generation-and-test approach, and thus are inadequate in datasets with high dimensions or long patterns.
Xianhui Zeng +3 more
core +1 more source
Computational Intelligence, Volume 41, Issue 4, August 2025.ABSTRACT Machine learning techniques are increasingly used for high‐stakes decision‐making, such as college admissions, loan attribution, or recidivism prediction. Thus, it is crucial to ensure that the models learnt can be audited or understood by human users, do not create or reproduce discrimination or bias and do not leak sensitive information ...
Julien Ferry +4 more
wiley +1 more source
Targeted Mining of Top-k High Utility Itemsets
, 2023 Finding high-importance patterns in data is an emerging data mining task known as High-utility itemset mining (HUIM). Given a minimum utility threshold, a HUIM algorithm extracts all the high-utility itemsets (HUIs) whose utility values are not less than
Huang, Shan +4 more
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Mining frequent itemsets a perspective from operations research [PDF]
Many papers on frequent itemsets have been published. Besides somecontests in this field were held. In the majority of the papers the focus ison speed. Ad hoc algorithms and datastructures were introduced.
Kosters, W.A., Pijls, W.H.L.M.
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High Utility Itemsets Mining for Transactional Databases [PDF]
, 2018 Mainstream issue in data mining, which is called "high-utility itemset mining" or all the more for the most part utility mining. High Utility Itemsets which are itemsets having an utility gathering a client determined least utility edge value i.e ...
Kurubindu, G, Lalitha kumari, P
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High frequency low utility (HFLU) itemsets.
, 2018 High frequency low utility (HFLU) itemsets.
Justin Zhan (5545352) +2 more
core +1 more source
An Incremental High-Utility Mining Algorithm with Transaction Insertion
The Scientific World Journal, 2015 Association-rule mining is commonly used to discover useful and meaningful patterns from a very large database. It only considers the occurrence frequencies of items to reveal the relationships among itemsets.
Jerry Chun-Wei Lin +3 more
doaj +1 more source
Low frequency high utility (LFHU) itemsets.
, 2018 Low frequency high utility (LFHU) itemsets.
Justin Zhan (5545352) +2 more
core +1 more source
Efficient algorithms for mining high utility itemsets from transactional databases.
, 2012 a b s t r a c t Utility itemsets typically consist of items with different values such as utilities, and the aim of utility mining is to identify the itemsets with highest utilities.
Chun-Jung Chu +2 more
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