Results 51 to 60 of about 28,511,988 (353)
The role of data science in healthcare advancements: applications, benefits, and future prospects
Irish Journal of Medical Science, 2021 Data science is an interdisciplinary field that extracts knowledge and insights from many structural and unstructured data, using scientific methods, data mining techniques, machine-learning algorithms, and big data.
S. Subrahmanya +7 more
semanticscholar +1 more source
Data Science Journal, 2015 Currently, a huge amount of data is being rapidly generated in cyberspace. Datanature (all data in cyberspace) is forming due to a data explosion. Exploring the patterns and rules in datanature is necessary but difficult.
Yangyong Zhu, Yun Xiong
doaj +1 more source
Eleven grand challenges in single-cell data science
Genome Biology, 2020 The recent boom in microfluidics and combinatorial indexing strategies, combined with low sequencing costs, has empowered single-cell sequencing technology.
David Lähnemann +50 more
semanticscholar +1 more source
How do Data Science Workers Collaborate? Roles, Workflows, and Tools [PDF]
Proc. ACM Hum. Comput. Interact., 2020 Today, the prominence of data science within organizations has given rise to teams of data science workers collaborating on extracting insights from data, as opposed to individual data scientists working alone. However, we still lack a deep understanding
Amy X. Zhang +2 more
semanticscholar +1 more source
Journal of Big Data, 2021 Stock market process is full of uncertainty; hence stock prices forecasting very important in finance and business. For stockbrokers, understanding trends and supported by prediction software for forecasting is very important for decision making.
Widodo Budiharto
semanticscholar +1 more source
Procedia Computer Science, 2016 10 pages, 4 figures, International Conference on Computational Science (ICCS 2016)
Robert J. Brunner, Edward J. Kim
openaire +3 more sources
Prospecting (in) the data sciences [PDF]
Big Data & Society, 2020 Data science is characterized by engaging heterogeneous data to tackle real world questions and problems. But data science has no data of its own and must seek it within real world domains. We call this search for data “prospecting” and argue that the dynamics of prospecting are pervasive in, even characteristic of, data science.
Stephen C Slota +3 more
openaire +4 more sources
Studies in Informatics and ControlData Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use.
Gabriel Neagu
semanticscholar +1 more source
ICSU and the Challanges of Data and Information Management for International Science
Data Science Journal, 2013 The International Council for Science (ICSU) vision explicitly recognises the value of data and information to science and particularly emphasises the urgent requirement for universal and equitable access to high quality scientific data and information ...
Peter Fox, Ray Harris
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Activities of the Polar Environment Data Science Center of ROIS-DS, Japan
Data Science Journal, 2022 The Polar Environment Data Science Center (PEDSC) is one of the centers of the Joint Support-Center for Data Science Research (DS) of the Research Organization of Information and Systems (ROIS), which was established in 2017.
Akira Kadokura +4 more
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