Framework for Social Media Analytics based on Multi-Criteria Decision Making (MCDM) model
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-7470-2
Abstract: The Social, Mobile, Analytics and Cloud (SMAC) explosion in recent times changed the way the customers look at and collaborate businesses through large world of data or information, often described as “Big Data”. With over… read more here.
Keywords: social media; framework social; media analytics; analytics based ... See more keywords
Big data analytics based fault prediction for shop floor scheduling
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DOI: 10.1016/j.jmsy.2017.03.008
Abstract: The current task scheduling mainly concerns the availability of machining resources, rather than the potential errors after scheduling. To minimise such errors in advance, this paper presents a big ... read more here.
Keywords: big data; fault prediction; data analytics; based fault ... See more keywords
Feedback literacy matters: unlocking the potential of learning analytics-based feedback
Sign Up to like & getrecommendations! Published in 2024 at "Assessment & Evaluation in Higher Education"
DOI: 10.1080/02602938.2024.2367587
Abstract: Abstract Despite the widespread implementation of learning analytics (LA)-based feedback systems, there exists a gap in empirical investigations regarding their influence on learning outcomes. Moreover, existing research primarily focuses on individual differences, such as self-regulation… read more here.
Keywords: based feedback; analytics based; learning analytics; feedback ... See more keywords
Gradient Leakage Attacks in Federated Learning: Research Frontiers, Taxonomy, and Future Directions
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DOI: 10.1109/mnet.001.2300140
Abstract: Federated learning (FL) is a distributed deep learning framework that has become increasingly popular in recent years. Essentially, FL supports numerous participants and the parameter server to co-train a deep learning model through shared gradients… read more here.
Keywords: analytics based; leakage attacks; future directions; gradient leakage ... See more keywords
Mitigating Conceptual Learning Gaps in Mixed-Ability Classrooms: A Learning Analytics-Based Evaluation of AI-Driven Adaptive Feedback for Struggling Learners
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DOI: 10.3390/app15084473
Abstract: Adaptation through Artificial Intelligence (AI) creates individual-centered feedback strategies to reduce academic achievement disparities among students. The study evaluates the effectiveness of AI-driven adaptive feedback in mitigating these gaps by providing personalized learning support to… read more here.
Keywords: driven adaptive; adaptive feedback; analytics based; learning analytics ... See more keywords