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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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Shukla, Rajesh K. (Editor), Agrawal, Jitendra (Editor), Sharma, Sanjeev (Information technology executive) (Editor), Tomer, Geetam Singh (Editor)
Format: eBook
Language:English
Published: Singapore : Springer, 2019.
Physical Description:
1 online resource (viii, 191 pages) : illustrations (some color)
Subjects:
Chapman & Hall/CRC data mining and knowledge discovery series.
Data mining.
Machine learning.
Big data.
Artificial intelligence.
Online Access:SpringerLink - Click here for access
Holdings details from CMU Electronic Access C502
Copy 1 CMU Electronic Access Available

Internet

SpringerLink - Click here for access

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