Big dаta: Principles and Paradigms

Big dаta: Principles and Paradigms
PDF, ePUB
  • eBook:
    Big dаta: Principles and Paradigms
  • Author:
    Rajkumar Buyya, Rodrigo N. Calheiros, Amir Vahid Dastjerdi
  • Edition:
    1 edition
  • Categories:
  • Data:
    June 17, 2016
  • ISBN:
    0128053941
  • ISBN-13:
    9780128053942
  • Language:
    English
  • Pages:
    494 pages
  • Format:
    PDF, ePUB

Book Description
Big dаta: Principles and Paradigms captures the state-of-the-art research on the architectural aspects, technologies, and applications of Big Data. The book identifies potential future directions and technologies that facilitate insight into numerous scientific, business, and consumer applications.
To help realize Big Data’s full potential, the book addresses numerous challenges, offering the conceptual and technological solutions for tackling them. These challenges include life-cycle data management, large-scale storage, flexible processing infrastructure, data modeling, scalable machine learning, data analysis algorithms, sampling techniques, and privacy and ethical issues.

Content

PART I - BIG DATA SCIENCE
CHAPTER 1. BDA = ML + CC
CHAPTER 2. Real-Time Analytics
CHAPTER 3. Big Data Analytics for Social Media
CHAPTER 4. Deep Learning and Its Parallelization
CHAPTER 5. Characterization and Traversal of Large Real-World Networks

PART II - BIG DATA INFRASTRUCTURES AND PLATFORMS
CHAPTER 6. Database Techniques for Big Data
CHAPTER 7. Resource Management in Big Data Processing Systems
CHAPTER 8. Local Resource Consumption Shaping: A Case for MapReduce
CHAPTER 9. System Optimization for Big Data Processing
CHAPTER 10. Packing Algorithms for Big Data Replay on Multicore

PART III - BIG DATA SECURITY AND PRIVACY
CHAPTER 11. Spatial Privacy Challenges in Social Networks
CHAPTER 12. Security and Privacy in Big Data
CHAPTER 13. Location Inferring in Internet of Things and Big Data

PART IV - BIG DATA APPLICATIONS
CHAPTER 14. A Framework for Mining Thai Public Opinions
CHAPTER 15. A Case Study in Big Data Analytics: Exploring Twitter Sentiment Analysis and the Weather
CHAPTER 16. Dynamic Uncertainty-Based Analytics for Caching Performance Improvements in Mobile Broadband Wireless Networks
CHAPTER 17. Big Data Analytics on a Smart Grid: Mining PMU Data for Event and Anomaly Detection
CHAPTER 18. eScience and Big Data Workflows in Clouds: A Taxonomy and Survey

Download Big dаta: Principles and Paradigms PDF or ePUB format free


Free sample

Download in .PDF format



Download in .ePUB format


Add comments
Прокомментировать
Введите код с картинки:*
Кликните на изображение чтобы обновить код, если он неразборчив
Copyright © 2019