Results 151 to 160 of about 15,856,028 (211)
Exploring the evolution of multidrug resistance patterns in ESKAPEE pathogens using association mining: Key to antibiotic stewardship? [PDF]
Wellcome Open ResRajendran S +6 more
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Actionable Combined High Utility Itemset Mining
Proceedings of the AAAI Conference on Artificial Intelligence, 2015 The itemsets discovered by traditional High Utility Itemsets Mining (HUIM) methods are more useful than frequent itemset mining outcomes; however, they are usually disordered and not actionable, and sometime accidental, because the utility is the only judgement and no relations among itemsets are considered.
Jingyu Shao +3 more
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A Systematic Survey on High Utility Itemset Mining
International Journal of Information Technology and Decision Making, 2019High utility itemset mining considers unit profits and quantities of items in a transaction database to extract more applicable and more useful association rules. Downward closure property, which causes significant pruning in frequent itemset mining, is not established in the utility of itemsets and so the mining problem will require alternative ...
Mohammad Karim Sohrabi
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High-utility and diverse itemset mining
Applied Intelligence, 2021High-utility Itemset Mining (HUIM) finds patterns from a transaction database with their utility no less than a user-defined threshold. The utility of an itemset is defined as the sum of the utilities of its items. The utility notion enables a data analyst to associate a profit score with each item and thereof to a pattern. We extend the notion of high-
Amit Verma +4 more
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High utility-itemset mining and privacy-preserving utility mining [PDF]
Perspectives in Science, 2016 SummaryIn recent decades, high-utility itemset mining (HUIM) has emerging a critical research topic since the quantity and profit factors are both concerned to mine the high-utility itemsets (HUIs).
Miroslav Vozňák +2 more
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Incremental High Fuzzy Utility Itemset Mining
Proceedings of the 9th Multidisciplinary International Social Networks Conference, 2022 In the field of data mining, frequent-pattern mining is used for handling binary databases. Utility mining addresses this limitation by considering item utilities and quantities when discovering high utility itemsets. In addition, the fuzzy-set theory is
Tzung-Pei Hong +3 more
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International Journal of Information Technology & Decision Making, 2010
High utility itemsets mining identifies itemsets whose utility satisfies a given threshold. It allows users to quantify the usefulness or preferences of items using different values. Thus, it reflects the impact of different items. High utility itemsets mining is useful in decision-making process of many applications, such as retail marketing and Web ...
Ying Liu 0039 +4 more
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High utility itemsets mining identifies itemsets whose utility satisfies a given threshold. It allows users to quantify the usefulness or preferences of items using different values. Thus, it reflects the impact of different items. High utility itemsets mining is useful in decision-making process of many applications, such as retail marketing and Web ...
Ying Liu 0039 +4 more
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Third IEEE International Conference on Data Mining, 2004
Traditional association rule mining algorithms only generate a large number of highly frequent rules, but these rules do not provide useful answers for what the high utility rules are. We develop a novel idea of top-K objective-directed data mining, which focuses on mining the top-K high utility closed patterns that directly support a given business ...
Raymond Chan +2 more
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Traditional association rule mining algorithms only generate a large number of highly frequent rules, but these rules do not provide useful answers for what the high utility rules are. We develop a novel idea of top-K objective-directed data mining, which focuses on mining the top-K high utility closed patterns that directly support a given business ...
Raymond Chan +2 more
openaire +2 more sources
High average-utility itemsets mining: a survey
Applied Intelligence, 2021HUIM (High utility itemsets mining) is a sub-division of data mining dealing with the task to obtain promising patterns in the quantitative datasets. A variant of HUIM is to discover the HAUIM (High average-utility itemsets mining) where average-utility measure is used to obtain the utility of itemsets.
Kuldeep Singh 0003 +2 more
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