Results 101 to 110 of about 15,313,957 (171)
On efficiently mining high utility sequential patterns
High utility sequential pattern mining is an emerging topic in pattern mining, which refers to identify sequences with high utilities (e.g., profits) but probably with low frequencies. To identify high utility sequential patterns, due to lack of downward
Wang, Jun-Zhe;Huang, Jiun-Long;Chen, Yi-Cheng
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Mining High-Efficiency Itemsets with Negative Utilities
High-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
Mining of high average-utility patterns with item-level thresholds
In this paper, we introduce a level-wise algorithm named High Average-Utility Itemset Mining with Multiple Minimum Average-Utility threshold (HAUIM-MMAU), which relies on a novel transaction-maximum utility downward closure (TMUDC) property and a concept
Zhang, Ji +4 more
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An Efficient Approach for Mining High Average-Utility Itemsets in Incremental Database
Traditional high-utility itemset (HUI) mining methods tend to overestimate utility for long itemsets, leading to biased results. High average-utility itemset (HAUI) mining addresses this problem by normalizing utility with itemset length.
Ye-In Chang +2 more
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Mining summarization of high utility itemsets
Mining interesting itemsets from transaction databases has attracted a lot of research interests for decades. In recent years, high utility itemset (HUT) has emerged as a hot topic in this field.
Deng, Zhi-Hong, Zhang, Xiong
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AN EFFECTIVE WAY OF MINING HIGH UTILITY ITEMSETS FROM LARGE TRANSACTIONAL DATABASES [PDF]
The main aim of this project is to generate the high utility (profitable) itemsets in a parallel environment, by considering the both profit and quantity of each item. The parallel mining of high utility itemsets will take very less time than mining with
Amarendra, Dr. K., Prasad, Chadaram
core
application/pdf; "February 19, 2003."; Testimony before the Kansas Legislature, House Committee On Taxation, presented by David Springe, Consumer Counsel, Citizens' Utility Ratepayer Board.Testimony in opposition to House Bill 2110.
Springe, David.
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Maintenance algorithm for high average-utility itemsets with transaction deletion
High-utility itemset mining (HUIM) is an extension of traditional association-rule mining that can find profitable itemsets for decision-making. It faces, however, a limitation since the utility of an itemset increases along with the size of it.
Djenouri, Youcef +9 more
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Mining actionable combined high utility incremental and associated sequential patterns. [PDF]
Shi M, Gong Y, Xu T, Zhao L.
europepmc +1 more source
A First-Out Alarm Detection Method via Association Rule Mining and Correlation Analysis. [PDF]
Li D, Cheng X.
europepmc +1 more source

