Big Data: Principles and Paradigms

Contributor(s):

Material type: Text

TextPublication details: Morgan Kaufman USA 2016Description: 468pISBN:

9780128053942

Subject(s):

Computer Engineering

DDC classification:

005.7 BIG

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Holdings
Item type	Current library	Item location	Collection	Call number	Status	Date due	Barcode	Item holds
Reference Book	NIMA Knowledge Centre	7th Floor Silence Zone	Reference	005.7 BIG (Browse shelf(Opens below))	Not For Loan		T0048400

Total holds: 0

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Previous	005.5311 JAV SCH Java 2: The Complete Reference	005.5311 MOS Java Servlet	005.5311 SCH Java The Complete Reference	005.7 BIG Big Data: Principles and Paradigms	005.7 DAT Data Science and Big Data Computing: Frameworks and Methodologies	005.7 DRA Learning Pyspark : Build Data-Intensive Applications Locally and Deploy at Scale Using The Combined Powers of Python and Spark 2.0	005.7 HUM Human Element of Big Data: Issues, Analytics and Performance	Next

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

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