Results 81 to 90 of about 15,856,028 (211)
High average-utility sequential pattern mining based on uncertain databases
, 2020 emergence and proliferation of the internet of things (IoT) devices have resulted in the generation of big and uncertain data due to the varied accuracy and decay of sensors and their different sensitivity ranges.
Zhang, Ji +4 more
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Mining Top-K high utility itemset using bio-inspired algorithms
, 2023 High utility itemset (HUI) mining is a necessary research problem in the field of knowledge discovery and data mining. Many algorithms for Top-K HUI mining have been proposed.
Vo, Bay +3 more
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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
doaj +1 more source
Efficient Algorithm for Mining Non-Redundant High-Utility Association Rules
Sensors, 2020 In business, managers may use the association information among products to define promotion and competitive strategies. The mining of high-utility association rules (HARs) from high-utility itemsets enables users to select their own weights for rules ...
Thang Mai +4 more
doaj +1 more source
Mining High-Efficiency Itemsets with Negative Utilities
MathematicsHigh-efficiency itemset mining has recently emerged as a new problem in itemset mining. An itemset is classified as a high-efficiency itemset if its utility-to-investment ratio meets or exceeds a specified efficiency threshold.
Irfan Yildirim
doaj +1 more source
An efficient strategy for mining high utility itemsets
International Journal of Intelligent Information and Database Systems, 2011 Methods for mining high utility itemsets from databases have been discussed widely in recent years. They mine itemsets having high utility from databases. Pruning candidates based on transaction-weighted utilisation value is a good method at all. In this paper, we develop a tree structure called WIT-tree, and use it in the proposed TWU-mining algorithm,
Bac Le, Huy Nguyen, Bay Vo
openaire +1 more source
MINING OF HIGH-UTILITY ITEMSETS WITH NEGATIVE UTILITY
JOURNAL OF TECHNOLOGY & INNOVATION, 2020 The goal of the high-utility itemset mining task is to discover combinations of items that yield high profits from transactional databases. HUIM is a useful tool for retail stores to analyze customer behaviors. However, in the real world, items are found with both positive and negative utility values.
Tung N.T +3 more
openaire +1 more source
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
doaj +1 more source
Engineering ProceedingsHigh-utility itemset mining (HUIM) utilizes the threshold value to extract HUI from the transactional database. However, it is difficult to define an optimal threshold value, since it depends on the domain knowledge of the application.
Ye-In Chang +4 more
doaj +1 more source
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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