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Data intensive computing application...
~
Balas, Valentina Emilia,
Data intensive computing applications for big data
Record Type:
Electronic resources : Monograph/item
Title/Author:
Data intensive computing applications for big dataedited by Mamta Mittal, Valentina E. Balas, D. Jude Hemanth, and Raghvendra Kumar.
other author:
Mittal, Mamta,
Published:
Amsterdam, Netherlands :IOS Press,2018.
Description:
1 online resource (xvi, 601 p.)
Notes:
Includes indexes.
Subject:
Big data.
Online resource:
http://ebooks.windeal.com.tw/ios/cover.asp?isbn=9781614998136
ISBN:
9781614998143 (e-book)
Data intensive computing applications for big data
Data intensive computing applications for big data
edited by Mamta Mittal, Valentina E. Balas, D. Jude Hemanth, and Raghvendra Kumar. - Amsterdam, Netherlands :IOS Press,2018. - 1 online resource (xvi, 601 p.) - Advances in parallel computing ;v. 29. - Advances in parallel computing ;v. 16..
Includes indexes.
Title Page; About the Book; About the Editors; Preface; Contents; A Survey of Diversified Domain of Big Data Technologies; Big Data Technologies; Steps for Implementing Big Data and Its Security Challenges; Big Data Security Solutions in Cloud; Big Data Analysis in Cloud Using Machine Learning; Big Data Analysis Using Machine Learning Approach to Compute Data; Data Intensive Computing Application for Big Data; Uncertainty Detection in Unstructured Big Data; Parallel Computing: A Paradigm to Unimaginable Computing Speed and Efficiency
ISBN: 9781614998143 (e-book)Subjects--Topical Terms:
609582
Big data.
LC Class. No.: QA76.9.B45 / D37 2018
Dewey Class. No.: 005.7
Data intensive computing applications for big data
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Data intensive computing applications for big data
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edited by Mamta Mittal, Valentina E. Balas, D. Jude Hemanth, and Raghvendra Kumar.
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Amsterdam, Netherlands :
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IOS Press,
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2018.
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1 online resource (xvi, 601 p.)
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Advances in parallel computing ;
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v. 29
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Includes indexes.
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Title Page; About the Book; About the Editors; Preface; Contents; A Survey of Diversified Domain of Big Data Technologies; Big Data Technologies; Steps for Implementing Big Data and Its Security Challenges; Big Data Security Solutions in Cloud; Big Data Analysis in Cloud Using Machine Learning; Big Data Analysis Using Machine Learning Approach to Compute Data; Data Intensive Computing Application for Big Data; Uncertainty Detection in Unstructured Big Data; Parallel Computing: A Paradigm to Unimaginable Computing Speed and Efficiency
505
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Application of Big Data Analytics in Cloud Computing via Machine LearningA Novel Mechanism for Cloud Data Management in Distributed Environment; Spark SQL with Hive Context or SQL Context; Renewing Computing Paradigms for More Efficient Parallelization of Single-Threads; MongoDB as an Efficient Graph Database: An Application of Document Oriented NOSQL Database; Big Data Analytics for Prevention and Control of HIV/AIDS; Performance Analysis of Deadlock Prevention and MUTEX Detection Algorithms in Distributed Environment
505
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$a
Real Time Location Tracking Map Matching Approaches for Road Navigation ApplicationsAccurate Prediction of Life Style Based Disorders by Smart Healthcare Using Machine Learning and Prescriptive Big Data Analytics; Parallel Computing Contrive Optimized NFB Through QEEG & LENS Approach; S-ARRAY: Highly Scalable Parallel Sorting Algorithm; Protein Synthesis Based Discretization Method for Knowledge Discovery; Scala Programming for Big-Data Application; Fading Channel and Imperfect Channel Estimation for OFDM in Wireless Communication
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Blockchain Innovation and Its Impact on Business Banking OperationsSubject Index; Author Index
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Big data.
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Mittal, Mamta,
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Balas, Valentina Emilia,
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Hemanth, D. J.,
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Kumar, Raghvendra,
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http://ebooks.windeal.com.tw/ios/cover.asp?isbn=9781614998136
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EB QA76.9.B45 D37 2018 2018
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http://ebooks.windeal.com.tw/ios/cover.asp?isbn=9781614998136
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