Results 31 to 40 of about 89,998 (265)
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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Mining association rules in learning management systems
2015 38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2015 Learning management systems collect huge amounts of data that can later be analysed. The University of Rijeka uses MudRi e-learning system, which is based on the Moodle open source software. This paper focuses on the Programming course, for which data over several years are available.
Hrženjak, Maja +2 more
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Benchmarking Hebbian learning rules for associative memory
, 2023 Associative memory or content addressable memory is an important component function in computer science and information processing and is a key concept in cognitive and computational brain science. Many different neural network architectures and learning rules have been proposed to model associative memory of the brain while investigating key functions
Lansner, Anders +2 more
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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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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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