An Efficient Parallel Method for Mining Frequent Closed Sequential Patterns
IEEE Access, 2017 Mining frequent closed sequential pattern (FCSPs) has attracted a great deal of research attention, because it is an important task in sequences mining.
Bao Huynh, Bay Vo, Vaclav Snasel
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Parents’ Experiences From Participating in an Online Peer Support Child Feeding Intervention: The “PICNIC Sweden” Explanatory Sequential Mixed Methods Feasibility Study [PDF]
JMIR Pediatrics and ParentingBackgroundParents’ feeding practices play a role in shaping children’s dietary patterns, which influence chronic disease risk. Feeding children is challenging, so parents need guidance and support.
Kerith Duncanson +6 more
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Detecting the Behaviour of COVID-19 Based On Parallel Approach of Sequential Rule Mining Algorithm [PDF]
IJCI International Journal of Computers and Information, 2022 The COVID-19 (Coronavirus) is a catastrophic disease, as it causes a global health crisis. Due to the nature of COVID-19, it spreads quickly among humans and infects millions of people within a few periods in the world.
Nesma Youssef +2 more
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Enhanced parallel mining algorithm for frequent sequential rules
Ain Shams Engineering Journal, 2022 Sequential rule mining is an important data mining technique that discovers relationships between occurrences of sequential patterns. The main challenge is to avoid time-consuming, especially in large search spaces.
Nesma Youssef +2 more
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Performance Evaluation of Sequential Rule Mining Algorithms
Applied Sciences, 2022 Data mining techniques are useful in discovering hidden knowledge from large databases. One of its common techniques is sequential rule mining. A sequential rule (SR) helps in finding all sequential rules that achieved support and confidence threshold ...
Amira Abdelwahab, Nesma Youssef
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Analysis of Covid-19 Genome Sequences based on Geo-Locations
Pakistan Journal of Engineering & Technology, 2021 The COVID-19 pandemic has become a major worldwide serious health risk of the current 21st century. It is necessary to examine the genomic sequences of the deadly virus COVID-19 strains to fully understand the virus’s behavior, origin, and how rapidly ...
Aqsa Umar +3 more
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Applied Sciences, 2023 Frequency-guided sequential demodulation (FSD) is a technique used to recover the phase of closed fringe patterns when only a single interferogram is available.
Christian O. Quintanar-Sotelo +4 more
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Anti-Adaptive Harmful Birds Repelling Method Based on Reinforcement Learning Approach
IEEE Access, 2021 To prevent crop damage from harmful birds, various repelling methods have been studied. However, harmful birds are still causing damage in the orchard by adapting to the repelling device according to their biological characteristics.
Cheol Won Lee +8 more
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An Efficient Method for Mining Top-
IEEE Access, 2020 The problem of exploiting Closed Sequential Patterns (CSPs) is an essential task in data mining, with many different applications. It is used to resolve the situations of huge databases or low minimum support (minsup) thresholds in mining sequential ...
Thi-Thiet Pham +4 more
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The Neural Signature of Visual Learning Under Restrictive Virtual-Reality Conditions
Frontiers in Behavioral Neuroscience, 2022 Honey bees are reputed for their remarkable visual learning and navigation capabilities. These capacities can be studied in virtual reality (VR) environments, which allow studying performances of tethered animals in stationary flight or walk under full ...
Gregory Lafon +8 more
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