Results 41 to 50 of about 28,511,988 (353)
Data science: connotation, methods, technologies, and development
The rapid development of big data breeds data science. Understanding and mastering the internal pattern of the value generation of big data is important for improving digitization and the covergence of data science with management science, computer ...
Zongben Xu +3 more
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The epistemological foundations of data science: a critical review
The modern abundance and prominence of data have led to the development of “data science” as a new field of enquiry, along with a body of epistemological reflections upon its foundations, methods, and consequences.
Jules Desai +4 more
semanticscholar +1 more source
Political Science Is a Data Science
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 ...
openaire +2 more sources
Data Science Ethos Lifecycle: Interplay of Ethical Thinking and Data Science Practice
This article presents the Data Science Ethos Lifecycle, a tool for engaging responsible workflow developed by an interdisciplinary team of social scientists and data scientists working with the Academic Data Science Alliance. The tool uses a data science
Margarita Boenig-Liptsin +2 more
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Cybersecurity data science: an overview from machine learning perspective
In a computing context, cybersecurity is undergoing massive shifts in technology and its operations in recent days, and data science is driving the change.
Iqbal H. Sarker +6 more
semanticscholar +1 more source
Thoughts on Starting the CODATA Data Science Journal
This essay discusses some of the considerations that led to the founding of the [CODATA] Data Science Journal. Three factors were most relevant to the founding.
John Rumble
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Diversifying the genomic data science research community
Over the past 20 years, the explosion of genomic data collection and the cloud computing revolution have made computational and data science research accessible to anyone with a web browser and an internet connection.
The Genomic Observatories Network +135 more
semanticscholar +1 more source
Looking Back to the Future: A Glimpse at Twenty Years of Data Science
This paper carries out a lightweight review to explore the potentials of data science in the last two decades and especially focuses on the four essential components: data resources, technologies, data infrastructures, and data education. Considering the
Lili Zhang
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A systematic review of data science and machine learning applications to the oil and gas industry
This study offered a detailed review of data sciences and machine learning (ML) roles in different petroleum engineering and geosciences segments such as petroleum exploration, reservoir characterization, oil well drilling, production, and well ...
Zeeshan Tariq +8 more
semanticscholar +1 more source
Computer science as an academic discipline began in the 1960’s. Emphasis was on programming languages, compilers, operating systems, and the mathematical theory that supported these areas.
Avrim Blum, J. Hopcroft, R. Kannan
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