Teaching spatial data science by Ane Rahbek Vierø, Michael Szell

“… Spatial data science is an emerging field building on geographic information science, geography, and data science. …”
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The Modern World Landscape of Data Science Online Education by V. S. Nikolskiy, M. A. Lukashenko, E. A. Sharova

Subjects: “…data science…”
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Application of Data Science Technologies in Intelligent Prediction of Traffic Congestion by Xu Yang, Shixin Luo, Keyan Gao, Tingting Qiao, Xiaoya Chen

“…This paper focuses on how to apply data science technologies on vehicular networks data to present a prediction method for traffic congestion based on both real-time and predicted traffic data. …”
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How data science and AI-based technologies impact genomics by Jing Lin, Kee Yuan Ngiam

“…In this review, we focus on the application of data science and AI technology in three areas, including risk prediction and identification of causal single-nucleotide polymorphisms, EHR-based phenotyping and CRISPR guide RNA design. …”
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FORMATION OF MEDIA SCIENCE INFRASTRUCTURE BIG DATA SCIENCE IN THE AGE OF HIGH ELECTRONICS by Yu. D. Gensitskiy

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Application of multiparametric methods of data science for the classification of Russian subjects on the basis of subsidisation by A. V. Kuznetsova, L. R. Borisova, V. M. Khadartsev

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Modeling students’ intentions to learn data science: Using an extended theory of planned behavior by Ram B. Basnet, David J. Lemay, Paul Bazelais

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A requirement-driven approach for competency-based collaboration in industrial data science projects by Marius Syberg, Nikolai West, Jörn Schwenken, Rebekka Adams, Jochen Deuse

Subjects: “…industrial data science…”
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Bridging the Maturity Gaps in Industrial Data Science: Navigating Challenges in IoT-Driven Manufacturing by Amruta Awasthi, Lenka Krpalkova, Joseph Walsh

“…This narrative review evaluates the curtail components of data maturity in manufacturing industries, the associated challenges, and the application of industrial data science (IDS) to improve organisational decision-making. …”
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TAME 2.0: expanding and improving online data science training for environmental health research by Alexis Payton, Alexis Payton, Alexis Payton, Elise Hickman, Elise Hickman, Elise Hickman, Jessie Chappel, Jessie Chappel, Jessie Chappel, Kyle Roell, Kyle Roell, Lauren E. Koval, Lauren E. Koval, Lauren A. Eaves, Lauren A. Eaves, Chloe K. Chou, Chloe K. Chou, Chloe K. Chou, Allison Spring, Allison Spring, Sarah L. Miller, Sarah L. Miller, Sarah L. Miller, Oyemwenosa N. Avenbuan, Oyemwenosa N. Avenbuan, Oyemwenosa N. Avenbuan, Rebecca Boyles, Rebecca Boyles, Paul Kruse, Cynthia V. Rider, Grace Patlewicz, Caroline Ring, Cavin Ward-Caviness, David M. Reif, Ilona Jaspers, Ilona Jaspers, Ilona Jaspers, Ilona Jaspers, Ilona Jaspers, Rebecca C. Fry, Rebecca C. Fry, Rebecca C. Fry, Julia E. Rager, Julia E. Rager, Julia E. Rager, Julia E. Rager

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Fully connecting the Observational Health Data Science and Informatics (OHDSI) initiative with the world of linked open data by Juan M. Banda

“…The Observational Health Data Science and Informatics (OHDSI) initiative combines over 100 controlled vocabularies into its own. …”
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Geospatial data science i Power BI: hvorfor det er vigtigt og hvad kan lade sig gøre by Hasse Kampp Davidsen

“… Geospatial data science fusionerer med Business Intelligence- værktøjer (BI), især Power BI, for at revolutionere dataanalyse og beslutningstagning på tværs af industrier. …”
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Diversity, distribution and threat status of Fabaceae plants in Costa Rica: a 135-year herbarium record by Donifer Campos Parra, Andres Blanco Picado, Keilor Rojas Jimenez

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Rough sets theory and its extensions for attribute reduction: a review by Sadegh Eskandari

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Understanding Artificial Intelligence: What It Is and How It Is Used in Agriculture by Daeun Choi, Omeed Mirbod, Uchechukwu Ilodibe, Steven Kinsey

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Contribuições metodológicas para a incorporação da perspectiva memética ao repertório da Ciência da Informação by Daniel da Silva Guimarães Cândido, Claudio Paixão Anastácio de Paula, Thiago Magela Rodrigues Dias

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TRANSFORMATION OF MARKETING TECHNOLOGIES IN MACHINE INTELLIGENCE ERA by V. Starostin

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RETRACTED: An Adaptive Hierarchical Network Model for Studying the Structure of Economic Network by Xiaoteng Yang, Zhenqiang Wu, Shumaila Javaid

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Evaluation of early student performance prediction given concept drift by Benedikt Sonnleitner, Tom Madou, Matthias Deceuninck, Filotas Theodosiou, Yves R. Sagaert

Subjects: “…Data science applications in education…”
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Predictive models of hotel booking cancellation: a semi-automated analysis of the literature by Nuno António, Ana de Almeida, Luís Nunes

Subjects: “…data science…”
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