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NATURAL LANGUAGE PROCESSING FOR DATA MINING IN COMPUTER SCIENCE EDUCATION
EDULEARN Proceedings, 2020 Fernando López-Ostenero +3 more
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Computer Processing of Social Science Data Using OSIRIS IV.
Journal of the American Statistical Association, 1986 Roger J. Pijacki +3 more
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Stream processing in data-driven computational science
2006 7th IEEE/ACM International Conference on Grid Computing, 2006The use of real-time data streams in data-driven computational science is driving the need for stream processing tools that work within the architectural framework of the larger application. Data stream processing systems are beginning to emerge in the commercial space, but these systems fail to address the needs of large-scale scientific applications.
Ying Liu, Nithya Vijayakumar, Beth Plale
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College curriculum in computer science engineering and data processing
Mathematics and Computers in Simulation, 1980 openaire +2 more sources
Mathematical modeling in materials science of electronic component, 2022
The paper considers the architecture of building parallel data storage systems in high-performance computing systems. The features of data representation in parallel file systems for applied problems of materials science are analyzed.
K. Volovich, S. Denisov, V. Kondrashev
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The paper considers the architecture of building parallel data storage systems in high-performance computing systems. The features of data representation in parallel file systems for applied problems of materials science are analyzed.
K. Volovich, S. Denisov, V. Kondrashev
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2022
We report on a methodology to design a growth process of high-quality quasi-monocrystalline silicon ingot integrating experimental, theoretical, computational, and data sciences. First, the model of crystal growth simulation was validated by utilizing experimental data, and the resulting model was used to collect training data showing the relationship ...
Usami, N. +5 more
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We report on a methodology to design a growth process of high-quality quasi-monocrystalline silicon ingot integrating experimental, theoretical, computational, and data sciences. First, the model of crystal growth simulation was validated by utilizing experimental data, and the resulting model was used to collect training data showing the relationship ...
Usami, N. +5 more
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Software: Practice and Experience, 2019
SummaryWith the recent emergence of new paradigm, ie, open science and big data, the need for data sharing and collaboration is becoming important in the computational science field as well. The EDISON‐DATA platform aims to provide services that computational simulation data can easily published, preserved, shared, reused, discovered, and analyzed ...
Sunil Ahn +3 more
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SummaryWith the recent emergence of new paradigm, ie, open science and big data, the need for data sharing and collaboration is becoming important in the computational science field as well. The EDISON‐DATA platform aims to provide services that computational simulation data can easily published, preserved, shared, reused, discovered, and analyzed ...
Sunil Ahn +3 more
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Process Mining as the Superglue Between Data Science and Enterprise Computing
2014 IEEE 18th International Enterprise Distributed Object Computing Conference, 2014Process mining provides new ways to utilize the abundance of data in enterprises. Suddenly many organizations realize that survival is not possible without exploiting available data intelligently. A new profession is emerging: the data scientist. Just like computer science emerged as a new discipline from mathematics when computers became abundantly ...
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