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AN EFFICIENT ALGORITHM FOR MINING HIGH UTILITY ITEMSETS
Tạp chí Khoa họcHigh utility itemsets (HUIs) mining is the finding of itemsets that satisfy a user-defined minimum utility threshold. Many successful studies in this field have been carried out, however they are all reliant on Tidset techniques, which records the ...
Nguyen Thi Thanh Thuy*, Nguyen Van Le, Manh Thien Ly
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Mining High Utility Itemsets with Regular Occurrence
Journal of ICT Research and Applications, 2016 High utility itemset mining (HUIM) plays an important role in the data mining community and in a wide range of applications. For example, in retail business it is used for finding sets of sold products that give high profit, low cost, etc. These itemsets
Komate Amphawan +3 more
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IEEE Access, 2018 High average-utility itemsets mining (HAUIM) is an emerging topic in data mining. Compared to traditional high utility itemset mining, HAUIM more fairly measures the utility of itemsets by considering their lengths (number of items).
Jerry Chun-Wei Lin +2 more
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A SURVEY ON ITEMSET MINING FOR LARGE TRANSACTION DATABASE
, 2016 Mining itemsets from the databases is an important data mining task.Frequent itemset mining refers to the mining of set of items occur frequently in the database.Utility itemset mining refers to the discovery of items with high utilities.
Ancy Jose*, Dr. John T Abraham
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High Utility Itemsets Identification in Big Data
, 2017 High utility itemset mining is an important data mining problem which considers profit factors besides quantity from the transactional database. It helps find the most valuable products/items that are difficult to track using only the frequent data ...
Tamrakar, Ashish
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High-utility action rules mining
, 2022 High utility action rules mining is a data mining task, that aims to generate such rules, that would provide the user with the information of which actions might be the most profitable.
Hrudková, Kateřina
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Discovering High-Utility Itemsets at Multiple Abstraction Levels [PDF]
, 2017 High-Utility Itemset Mining (HUIM) is a relevant data mining task. The goal is to discover recurrent combinations of items characterized by high prot from transactional datasets.
CHIUSANO, SILVIA ANNA +7 more
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Selective Database Projections Based Approach for Mining High-Utility Itemsets
IEEE Access, 2018 High-utility itemset mining (HilIM) is an emerging area of data mining and is widely used. HilIM differs from the frequent itemset mining (FIM), as the latter considers only the frequency factor, whereas the former has been designed to address both ...
Anita Bai +2 more
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Effective Utility Mining with the Measure of Average Utility
, 2012 [[abstract]]Frequent-itemset mining only considers the frequency of occurrence of the items but does not reflect any other factors, such as price or profit.
洪宗貝, Lee, Cho-Han, 王學亮
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1 A Survey on Discovering High Utility Itemset Mining from Transactional Database
, 2016 Data Mining is the process of evaluating data from different outlooks and summarizing it into useful information. It can be defined as the process that extracts information contained in very large database.
Shekhar Patel +3 more
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