Divide and recombine (D&R) data science projects for deep analysis of big data and high computational complexity

The focus of data science is data analysis. This article begins with a categorization of the data science technical areas that play a direct role in data analysis. Next, big data are addressed, which create computational challenges due to the data size, as does the computational complexity of many a...

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Veröffentlicht in:	Japanese journal of statistics and data science Jg. 1; H. 1; S. 139 - 156
Hauptverfasser:	Tung, Wen-wen, Barthur, Ashrith, Bowers, Matthew C., Song, Yuying, Gerth, John, Cleveland, William S.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Singapore Springer Singapore 01.06.2018
Schlagworte:	Chemistry and Earth Sciences Computer Science Economics Finance Health Sciences Humanities Insurance Law Management Mathematics and Statistics Medicine Physics Statistical Theory and Methods Statistics Statistics and Computing/Statistics Programs Statistics for Business Statistics for Engineering Statistics for Life Sciences Statistics for Social Sciences Hadoop Data science Blacklisting IP addresses Big data Parallel Weather and climate data analysis Distributed computing
ISSN:	2520-8756, 2520-8764
Online-Zugang:	Volltext
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