Results 11 to 20 of about 12,291,752 (225)
Procedia Computer Science, 2016 10 pages, 4 figures, International Conference on Computational Science (ICCS 2016)
Robert J. Brunner, Edward J. Kim
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Security of Data Science and Data Science for Security [PDF]
, 2019 In this chapter, we present a brief overview of important topics regarding the connection of data science and security. In the first part, we focus on the security of data science and discuss a selection of security aspects that data scientists should consider to make their services and products more secure.
Tellenbach, Bernhard +2 more
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ISPRS International Journal of Geo-Information, 2020 The field of data science has had a significant impact in both academia and industry, and with good reason [...]
Fernando Bacao +2 more
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IEEE Computer Graphics and Applications, 2017 Data science methods and approaches address all stages of transition from data to knowledge and action. Visualization of this data is essential for human understanding of the subject under study, analytical reasoning about it, and generating new knowledge.
Andrienko, Gennady +2 more
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Political Science Is a Data Science
The Journal of Politics, 2021 This discussion is about changes in the world, changes that affect us as academics, changes that affect us as empirical researchers (qualitative and quantitative), and changes that affect our students and our universities/ colleges I am an empirical social scientist, a political methodologist, and a statistician, so I will only discuss topics along ...
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Data Science and Earth System Science
, 2022 AbstractData-driven science has turned into a fourth fundamental paradigm of performing research. Earth System Science, following a holistic approach in unraveling the complex network of processes and interactions shaping system Earth, particularly profits from embracing data-driven approaches next to observation and modeling.
zu Castell, Wolfgang +8 more
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Patterns, 2020 Most data science is about people, and opinions on the value of human data differ. The author offers a synthesis of overly optimistic and overly pessimistic views of human data science: it should become a science, with errors systematically studied and their effects mitigated—a goal that can only be achieved by bringing together expertise from a range ...
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Teaching Stats for Data Science [PDF]
, 2017 “Data science” is a useful catchword for methods and concepts original to the field of statistics, but typically being applied to large, multivariate, observational records.
Kaplan, Daniel
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Indonesia embraces the Data Science [PDF]
, 2015 The information era is the time when information is not only largely generated, but also vastly processed in order to extract and generated more information. The complex nature of modern living is represented by the various kind of data.
Situngkir, Hokky
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Data Science and Big Data in Energy Forecasting [PDF]
, 2018 This editorial summarizes the performance of the special issue entitled Data Science and Big Data in Energy Forecasting, which was published at MDPI’s Energies journal.
Martínez Álvarez, Francisco +2 more
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