Big data analytics : methods and applications
This book has a collection of articles written by Big Data experts to describe some of the cutting-edge methods and applications from their respective areas of interest, and provides the reader with a detailed overview of the field of Big Data Analytics as it is practiced today. The chapters cover t...
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| Médium: | E-kniha |
| Jazyk: | angličtina |
| Vydáno: |
New Delhi :
Springer,
2016
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| Žánr/forma: | sborníky elektronické knihy |
| ISBN: | 978-81-322-3628-3 978-81-322-3626-9 |
| Témata: | |
| On-line přístup: | Plný text |
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Obsah:
- Big Data Analytics: Views from Statistical and Computational Perspectives
- Massive Data Analysis: Tasks, Tools, Applications, and Challenges
- Statistical Challenges with Big Data in Management Science
- Application of Mixture Models to Large Datasets
- An Efficient Partition-Repetition Approach in Clustering of Big Data
- Online Graph Partitioning with an Affine Message Combining Cost Function
- Big Data Analytics Platforms for Real-Time Applications in IoT
- Complex Event Processing in Big Data Systems
- Unwanted Traffic Identification in Large-Scale University Networks: A Case Study
- Application-Level Benchmarking of Big Data Systems
- Managing Large-Scale Standardized Electronic Health Records
- Microbiome Data Mining for Microbial Interactions and Relationships
- A Nonlinear Technique for Analysis of Big Data in Neuroscience
- Big Data and Cancer Research