Data, Engineering and Applications Volume 2 /
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...
Συγγραφή απο Οργανισμό/Αρχή: | SpringerLink (Online service) |
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Άλλοι συγγραφείς: | Shukla, Rajesh Kumar (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Agrawal, Jitendra (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Sharma, Sanjeev (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Singh Tomer, Geetam (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt) |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Singapore :
Springer Singapore : Imprint: Springer,
2019.
|
Έκδοση: | 1st ed. 2019. |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Παρόμοια τεκμήρια
-
Data, Engineering and Applications Volume 1 /
Έκδοση: (2019) -
Intelligent Methods and Big Data in Industrial Applications
Έκδοση: (2019) -
Innovations in Big Data Mining and Embedded Knowledge
Έκδοση: (2019) -
Network Data Analytics A Hands-On Approach for Application Development /
ανά: Srinivasa, K. G., κ.ά.
Έκδοση: (2018) -
Towards Analytical Techniques for Optimizing Knowledge Acquisition, Processing, Propagation, and Use in Cyberinfrastructure and Big Data
ανά: Lerma, L. Octavio, κ.ά.
Έκδοση: (2018)