Networking Communication and Data Knowledge Engineering Volume 2 /

Data science, data engineering and knowledge engineering requires networking and communication as a backbone and have wide scope of implementation in engineering sciences. Keeping this ideology in preference, this book includes the insights that reflect the advances in these fields from upcoming res...

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Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Singapore : Springer Singapore , 2018.
Ausgabe:1st ed. 2018.
Schriftenreihe:Lecture Notes on Data Engineering and Communications Technologies, 4
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ISBN:9789811046001
ISSN:2367-4512 ;
Online-Zugang: Volltext
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245 1 0 |a Networking Communication and Data Knowledge Engineering  |h [electronic resource] :  |b Volume 2 /  |c edited by Gregorio Martinez Perez, Krishn K. Mishra, Shailesh Tiwari, Munesh C. Trivedi. 
250 |a 1st ed. 2018. 
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500 |a Engineering  
505 0 |a Part 1. Advanced Software Engineering and Cloud Computing -- Part 2. Category: Image Processing and Computer Vision -- Part 3. Security. 
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520 |a Data science, data engineering and knowledge engineering requires networking and communication as a backbone and have wide scope of implementation in engineering sciences. Keeping this ideology in preference, this book includes the insights that reflect the advances in these fields from upcoming researchers and leading academicians across the globe. It contains high-quality peer-reviewed papers of 'International Conference on Recent Advancement in Computer, Communication and Computational Sciences (ICRACCCS 2016)', held at Janardan Rai Nagar Rajasthan Vidyapeeth University, Udaipur, India, during 25-26 November 2016. The volume covers variety of topics such as Advanced Communication Networks, Artificial Intelligence and Evolutionary Algorithms, Advanced Software Engineering and Cloud Computing, Image Processing and Computer Vision, and Security. The book will help the perspective readers from computer industry and academia to derive the advances of next generation communication and computational technology and shape them into real life applications. 
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650 0 |a Data mining. 
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