Results 81 to 90 of about 498 (210)
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
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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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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
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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
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A Fuzzy Algorithm for Mining High Utility Rare Itemsets -FHURI
, 2014 Classical frequent itemset mining identifies frequent itemsets in transaction databases using only frequency of item occurrences, without considering utility of items.
Pillai, Jyothi +4 more
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Optimization of High Utility Itemset Mining from Large Transaction Databases on multi core processor
, 2015 High utility itemset mining is an emerging era that extends frequent itemset mining to identify itemsets in a transaction database with utility values associated with every item above a given threshold.
, Ms. Yogita S. Khot, Prof. Mrs. Manasi K. Kulkarni
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Closed frequent itemset mining with arbitrary side constraints [PDF]
, 2018 Frequent itemset mining (FIM) is a method for finding regularities in transaction databases. It has several application areas, such as market basket analysis, genome analysis, and drug design. Finding frequent itemsets allows further analysis to focus on
Nightingale, Peter William +7 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
core
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
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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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