Mining High Utility Itemsets Based on Pattern Growth without Candidate Generation
Mathematics, 2020 Mining high utility itemsets (HUIs) has been an active research topic in data mining in recent years. Existing HUI mining algorithms typically take two steps: generating candidates and identifying utility values of these candidate itemsets.
Yiwei Liu, Le Wang, Lin Feng, Bo Jin
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High Resolution Calibration of a Multibeam Echo Sounder [PDF]
, 2010 Calibration can greatly increase the utility of collecting seafloor backscattering strength with multibeam echo sounders (MBES). A calibration procedure to determine high resolution, three dimensional transmit and receive beam patterns of a Reson SeaBat ...
Lanzoni, Carlo, Weber, Thomas C.
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IEEE Access, 2021 Utility-pattern mining in data has received a lot of attention from the knowledge discovery in database (KDD) community due to its high potential for many applications such as finance, biomedicine, manufacturing, e-commerce, and social media.
Jerry Chun-Wei Lin +3 more
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Initial experience of dedicated breast PET imaging of ER+ breast cancers using [F-18]fluoroestradiol. [PDF]
, 2019 Dedicated breast positron emission tomography (dbPET) is an emerging technology with high sensitivity and spatial resolution that enables detection of sub-centimeter lesions and depiction of intratumoral heterogeneity.
Chien, Amy J +10 more
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Incremental Mining of High Utility Patterns in One Phase by Absence and Legacy-Based Pruning
IEEE Access, 2019 Mining high utility patterns in dynamic databases is an important data mining task. While a naive approach is to mine a newly updated database in its entirety, the state-of-the-art mining algorithms all take an incremental approach. However, the existing
Junqiang Liu +5 more
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Comparison of single-phase matrix converter and H-bridge converter for radio frequency induction heating [PDF]
, 2007 This paper compares the newly developed single-phase matrix converter and the more conventional H- bridge converter for radio frequency induction heating.
Bingham, Chris +3 more
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A review on big data based parallel and distributed approaches of pattern mining
Journal of King Saud University: Computer and Information Sciences, 2022 Pattern mining is a fundamental technique of data mining to discover interesting correlations in the data set. There are several variations of pattern mining, such as frequent itemset mining, sequence mining, and high utility itemset mining. High utility
Sunil Kumar, Krishna Kumar Mohbey
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HI-Tree: Mining High Influence Patterns Using External and Internal Utility Values [PDF]
, 2015 We propose an efficient algorithm, called HI-Tree, for mining high influence patterns for an incremental dataset. In traditional pattern mining, one would find the complete set of patterns and then apply a post-pruning step to it.
C Ahmed +7 more
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Mining actionable combined high utility incremental and associated sequential patterns.
PLoS ONE, 2023 High utility sequential pattern (HUSP) mining aims to mine actionable patterns with high utilities, widely applied in real-world learning scenarios such as market basket analysis, scenic route planning and click-stream analysis.
Min Shi +3 more
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An Evolutionary Algorithm to Mine High-Utility Itemsets [PDF]
, 2015 High-utility itemset mining (HUIM) is a critical issue in recent years since it can be used to reveal the profitable products by considering both the quantity and profit factors instead of frequent itemset mining (FIM) of association rules (ARs). In this
Jaroslav Frnda +5 more
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