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Data, Engineering and Applications Volume 1 /

This book presents a compilation of current trends, technologies, and challenges in connection with Big Data. Many fields of science and engineering are data-driven, or generate huge amounts of data that are ripe for the picking. There are now more sources of data than ever before, and more means of...

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Corporate Author: SpringerLink (Online service)
Other Authors: Shukla, Rajesh Kumar. (Editor, http://id.loc.gov/vocabulary/relators/edt), Agrawal, Jitendra. (Editor, http://id.loc.gov/vocabulary/relators/edt), Sharma, Sanjeev. (Editor, http://id.loc.gov/vocabulary/relators/edt), Singh Tomer, Geetam. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Subjects:
Big data.
Data mining.
Artificial intelligence.
Big Data.
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Online Access:https://doi.org/10.1007/978-981-13-6347-4

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