Results 21 to 30 of about 92,800 (264)
Informatics in Medicine Unlocked, 2023 The COVID-19 pandemic has a devastating impact globally, claiming millions of lives and causing significant social and economic disruptions. In order to optimize decision-making and allocate limited resources, it is essential to identify COVID-19 ...
Mohammad Dehghani, Zahra Yazdanparast
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A framework for recommending tourist attractions using deep learning and association rule mining-based methods [PDF]
ITM Web of Conferences, 2022 . Many of tourism recommendation researches are based on the user rating and review data on the tourism platforms, and these approaches might be only suitable for a discrete recommendation for the tourist attractions. It is because each rating and review
Jeong Hanjo
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Learning and disrupting invariance in visual recognition with a temporal association rule
Frontiers in Computational Neuroscience, 2012 Learning by temporal association rules such as Foldiak’s trace rule is an attractive hypothesis that explains the development of invariance in visual recognition.
Leyla eIsik +2 more
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Distinct Age-Specific Effects on Olfactory Associative Learning in C57BL/6 Substrains
Frontiers in Behavioral Neuroscience, 2022 C57BL/6 is the most widely used mouse strain in the laboratories. Two substrains of C57BL/6, C57BL/6J (B6J), and C57BL/6N (B6N) are well-known backgrounds for genetic modification and have been shown difference in quite a few tests, including open field ...
Hung-Lun Chen +2 more
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Learning Weighted Association Rules in Human Phenotype Ontology [PDF]
, 2020 The Human Phenotype Ontology (HPO) is a structured repository of concepts (HPO Terms) that are associated to one or more diseases. The process of association is referred to as annotation. The relevance and the specificity of both HPO terms and annotations are evaluated by a measure defined as Information Content (IC).
Giuseppe Agapito +3 more
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IEEE AccessNumerical association rule mining (NARM) is an extended version of association rule mining that determines association rules in numerical data items through distribution, discretization, and optimization methods.
Minakshi Kaushik +4 more
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IEEE Access, 2020 Reinforcement learning (RL) techniques, while often powerful, can suffer from slow learning speeds, particularly in high dimensional spaces or in environments with sparse rewards.
Behzad Ghazanfari +2 more
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Mathematics, 2022 The overall effectiveness of a website as an e-commerce platform is influenced by how usable it is. This study aimed to find out if advanced web metrics, derived from Google Analytics software, could be used to evaluate the overall usability of e ...
Biresh Kumar +4 more
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Journal of Theoretical and Applied Electronic Commerce ResearchStudying customer behavior and anticipating future trends is a challenging task, as customer behavior is complex and constantly evolving. To effectively anticipate future trends, businesses need to analyze large amounts of data, use sophisticated ...
Monerah Alawadh, Ahmed Barnawi
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DESIGN OF A PROPERTY PRODUCT RECOMMENDATION SYSTEM USING ASSOCIATION RULE METHOD BASED ON USER INTERACTION PATTERNS [PDF]
Acta Informatica MalaysiaThis work creates an association rule-based real estate product recommendation system. Personalizing property suggestions based on user behavior optimises property searches.
Susi Wagiyati Purtiningruma +6 more
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