Data intensive computing applications for big data /
Clasificación: | Libro Electrónico |
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Otros Autores: | , , , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Amsterdam, Netherlands :
IOS Press,
2018.
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Colección: | Advances in parallel computing ;
v. 29. |
Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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.
- 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.
- 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.
- Blockchain Innovation and Its Impact on Business Banking OperationsSubject Index; Author Index.