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Educational data mining and learning analytics: An updated survey
WIREs Data Mining Knowl. Discov., 2020This survey is an updated and improved version of the previous one published in 2013 in this journal with the title “data mining in education”. It reviews in a comprehensible and very general way how Educational Data Mining and Learning Analytics have ...
C. Romero, S. Ventura
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International Journal of Production Research, 2018
The impact of digitalisation and Industry 4.0 on the ripple effect and disruption risk control analytics in the supply chain (SC) is studied. The research framework combines the results from two isolated areas, i.e.
D. Ivanov, A. Dolgui, B. Sokolov
semanticscholar +1 more source
The impact of digitalisation and Industry 4.0 on the ripple effect and disruption risk control analytics in the supply chain (SC) is studied. The research framework combines the results from two isolated areas, i.e.
D. Ivanov, A. Dolgui, B. Sokolov
semanticscholar +1 more source
Learning Analytics in Higher Education
Advances in Electronic Government, Digital Divide, and Regional Development, 2021It is known that big data has penetrated several if not all spheres of life. In higher education, the ability to take these large amounts of data and process it into something meaningful for academic decision making is commonly referred to as learning ...
Rushil Raghavjee +2 more
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Big Data Analytics in Intelligent Transportation Systems: A Survey
IEEE transactions on intelligent transportation systems (Print), 2019Big data is becoming a research focus in intelligent transportation systems (ITS), which can be seen in many projects around the world. Intelligent transportation systems will produce a large amount of data.
Li Zhu +4 more
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Chameleon: scalable adaptation of video analytics
Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication, 2018Applying deep convolutional neural networks (NN) to video data at scale poses a substantial systems challenge, as improving inference accuracy often requires a prohibitive cost in computational resources.
Junchen Jiang +4 more
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Analytical interferences and analytical quality
Clinica Chimica Acta, 2009In today's health care system the prevalence of medical errors is high as stated by the report of the Institute of Medicine. A varying error rate of
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Data Analytics, Innovation, and Firm Productivity
Management Sciences, 2020We examine the relationship between data analytics capabilities and innovation using detailed firm-level data.
Lynn Wu, L. Hitt, Bowen Lou
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Synthese, 1969
Our purpose in the present paper is to give an account of certain results that have been obtained within the field of logical methodology by the Polish logicians in recent years. The problem of analyticity constitutes one of the main points on which these investigations have concentrated. The studies on the problem have brought about a series of papers
Ryszard Wójcicki, Marian Przełęcki
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Our purpose in the present paper is to give an account of certain results that have been obtained within the field of logical methodology by the Polish logicians in recent years. The problem of analyticity constitutes one of the main points on which these investigations have concentrated. The studies on the problem have brought about a series of papers
Ryszard Wójcicki, Marian Przełęcki
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IEEE Transactions on Computational Intelligence and AI in Games, 2015
The articles in this special section ddress various flavors of the diverse field of game analytics. It covers topics ranging from player profiling, behavioral prediction, metrics extraction from gameplay recordings, behavioral analysis, retention analysis, and more.
Bauckhage, Christian +2 more
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The articles in this special section ddress various flavors of the diverse field of game analytics. It covers topics ranging from player profiling, behavioral prediction, metrics extraction from gameplay recordings, behavioral analysis, retention analysis, and more.
Bauckhage, Christian +2 more
openaire +3 more sources