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  1. 22 Αυγ 2022 · Data science is an interdisciplinary field, and the foundations include, inference, computer science, predictive analytics, the creation of machine learning techniques, and new tools for ...

  2. 20 Ιαν 2024 · Data science is integral in converting raw data into actionable insights for informed decision-making across domains. This survey explores the holistic data science processes, from...

  3. 1 Αυγ 2018 · Conference Paper PDF Available. A Review of Artificial Intelligence Methods for Data Science and Data Analytics: Applications and Research Challenges. August 2018. DOI:...

  4. 21 Φεβ 2020 · The data science framework and associated research processes are fundamentally tied to practical problem solving, highlight data discovery as an essential but often overlooked step in most data science frameworks, and, incorporate ethical considerations as a critical feature to the research.

  5. 19 Απρ 2021 · This paper shows data sciences potential for disruptive innovation in science, industry, policy, and people’s lives. We present how data science impacts science and society at large in the coming years, including ethical problems in managing human behavior data and considering the quantitative expectations of data science economic impact.

  6. 30 Σεπ 2020 · In this article we enumerate 10 areas of research in which to make progress to advance the field of data science. Our goal is to start a discussion on what could constitute a basis for a research agenda in data science, while recognizing that the field of data science is still evolving.

  7. 12 Ιουλ 2021 · In this paper, we present a comprehensive view on “Data Science” including various types of advanced analytics methods that can be applied to enhance the intelligence and capabilities of an application through smart decision-making in different scenarios.

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