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Big Data: Principles and Paradigms - 2016 Morgan Kaufman USA - 468p

List of Contributors
About the Editors
Preface
Acknowledgements
Part - 1: Big Data Science
BDA=ML+CC
Real Time Analytics
Big Data Analytics for Social Media
Deep Learning and Its Parallelization
Characterization and Traversal of Large Real World Networks
Part - 2: Big Data Infrastructures and Platforms
Resource Management in Big Data Processing Systems
Local Resource Consumption Shaping: A Case for MapReduce
System Optimization for Big Data Processing
Packing Algorithms for Big Data Replay on Multicore
Part - 3: Big Data Security and Privacy
Spatial Privacy Challenges in Social Networks
Security and Privacy in Big Data
Location Inferring in Internet of Things and Big Data
Part - 4: Big Data Applications
A Framework for Mining Thai Public Opinions
A Case Study in Big Data Analytics: Exploring Twitter Sentiment Analysis and the Weather
Dynamic Uncertainty Based Analytics for Caching Performance Improvements in Mobile Broadband Wireless Networks
Big Data Analytics on a Smart Grid: Mining PMU Data for Event and Anomaly Detection
eScience and Big Data Workflows in Clouds: A Taxanomy and Survey
Index

ISBN: 9780128053942

Subjects--Personal Names:
Computer Engineering

Dewey Class. No.: 005.7 / BIG