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This is a list of important publications in data science, generally organized by order of use in a data analysis workflow.. Whole game of data science. See the list of important publications in statistics for more research-based and fundamental publications; while this list is more applied, business oriented, and cross-disciplinary.
Trying to solve Sierpinski / Riesel Bases up to 1030, the project is Conjecture 'R Us [111] Yes 1,267 (Mar 2023) [112] 617.109 (Mar 2023) [112] TN-Grid: 2014-05-01 [113] Research Area of Trento of the National Research Council of Italy, University of Trento: Genetics: Gene@home is a scientific project belonging to the infrastructure TrentoGrid ...
Blue Brain Project, an attempt to create a synthetic brain by reverse-engineering the mammalian brain down to the molecular level. [1] Google Brain, a deep learning project part of Google X attempting to have intelligence similar or equal to human-level. [2] Human Brain Project, ten-year scientific research project, based on exascale ...
Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession. [4] Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. [5]
Computer science and information science: A free online service used to index and search academic social networks, hosted at Department of Computer Science and Technology of Tsinghua University: Arnetminer [4] Arts and Humanities Data Service: Arts and humanities: Images, texts and datasets largely collected from UK universities. Ceased ...
A web-based indexing application was launched in 2014, [43] and the installed version was later retired. The data is eventually made publicly and freely available at familysearch.org [44] (the world's largest nonprofit genealogical organization) for use in genealogical research. Over one billion historical records have been transcribed to date.
This core consortium brought different experiences to the project. ISL, was later acquired and merged into SPSS. The computer giant NCR Corporation produced the Teradata data warehouse and its own data mining software. Daimler-Benz had a significant data mining team. OHRA was starting to explore the potential use of data mining.
Moreover, data alone cannot speak for themselves; in order to possess any concrete meaning, data must be accompanied by theoretical insight or alternative quantitative or qualitative research measures. [1] [9] Based on different social topics such as anti-racist data studies, critical data studies give a focus on those social issues concerning ...