An Algorithm for Mining High Utility Sequential Patterns with Time Interval
Cybernetics and Information Technologies, 2019 Mining High Utility Sequential Patterns (HUSP) is an emerging topic in data mining which attracts many researchers. The HUSP mining algorithms can extract sequential patterns having high utility (importance) in a quantitative sequence database.
Duong Tran Huy +4 more
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Dramatically Reducing Search for High Utility Sequential Patterns by Maintaining Candidate Lists
Information, 2020 A ubiquitous challenge throughout all areas of data mining, particularly in the mining of frequent patterns in large databases, is centered on the necessity to reduce the time and space required to perform the search.
Scott Buffett
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HUIL-TN & HUI-TN: Mining high utility itemsets based on pattern-growth.
PLoS ONE, 2021 In recent years, high utility itemsets (HUIs) mining has been an active research topic in data mining. In this study, we propose two efficient pattern-growth based HUI mining algorithms, called High Utility Itemset based on Length and Tail-Node tree ...
Le Wang, Shui Wang
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Particle-scale structure in frozen colloidal suspensions from small angle X-ray scattering [PDF]
, 2010 During directional solidification of the solvent in a colloidal suspension, the colloidal particles segregate from the growing solid, forming high-particle-density regions with structure on a hierarchy of length scales ranging from that of the particle ...
B. J. Berne +10 more
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Ecological validity of a simplified version of the multiple errands shopping test [PDF]
, 2003 Shallice and Burgess (1991) reported the utility of the Multiple Errands Test (MET) in discriminating executive deficits in three frontal lobe patients with preserved high IQ, who were otherwise unimpaired on tests of executive function.
Alderman, N +3 more
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Fast Single Pbase Algoritbm for Utility Mining in Big Data
Dianxin kexue, 2015 Most of the latest works on utility mining generates a huge number of candidates in dealing with big data,which suffers from the scalability issue.Some work does not generate candidates,but suffers from the efficiency issue due to lack of strong pruning ...
Junqiang Liu +3 more
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Memory-optimized distributed utility mining for big data
Journal of King Saud University: Computer and Information Sciences, 2022 In recent days, social media, online services, smartphones, and the Internet of Things (IoT) produces large quantities of data every second. The generated data is structured, unstructured, or semi-structured and available in various formats.
Sunil kumar, Krishna Kumar Mohbey
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Mining Association rules for Low-Frequency itemsets. [PDF]
PLoS ONE, 2018 High utility itemset mining has become an important and critical operation in the Data Mining field. High utility itemset mining generates more profitable itemsets and the association among these itemsets, to make business decisions and strategies ...
Jimmy Ming-Tai Wu +2 more
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EHAUPM: Efficient High Average-Utility Pattern Mining With Tighter Upper Bounds
IEEE Access, 2017 High-utility itemset mining (HUIM) has become a popular data mining task, as it can reveal patterns that have a high-utility, contrarily to frequent pattern mining, which focuses on discovering frequent patterns.
Jerry Chun-Wei Lin +3 more
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Mining of high utility-probability sequential patterns from uncertain databases. [PDF]
PLoS ONE, 2017 High-utility sequential pattern mining (HUSPM) has become an important issue in the field of data mining. Several HUSPM algorithms have been designed to mine high-utility sequential patterns (HUPSPs).
Binbin Zhang +3 more
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