Guide Particulars :
Language English
Pages 191
Format PDF
Dimension 14.5 MB

 

Frontiers in Massive Data Analysis


 

Frontiers in Massive Data Analysis | PDF Free Download.

Committee on the Analysis of Massive Data
Committee on Utilized and Theoretical Statistics
Board on Mathematical Sciences and Their Functions
Division on Engineering and Bodily Sciences
THE NATIONAL ACADEMIES PRESS

Contents of Frontiers in Massive Data Analysis PDF


INTRODUCTION

  • The Problem
  • What Has Modified in Current Years?
  • Group of This Report
  • References

MASSIVE DATA IN SCIENCE, TECHNOLOGY COMMERCE, NATIONAL DEFENSE TELECOMMUNICATIONS, AND OTHER ENDEAVORS

  • The place Are Massive Data Showing?
  • Challenges to the Analysis of Massive Data
  • Traits in Massive Data Analysis
  • Examples
  • References

SCALING THE INFRASTRUCTURE FOR DATA MANAGEMENT

  • Scaling the Variety of Data Units
  • Scaling Computing Know-how by Distributed and
  • Parallel Methods
  • Traits and Future Analysis
  • References
  • Frontiers in Massive Data Analysis

TEMPORAL DATA AND REAL-TIME ALGORITHMS 

  • Introduction
  • Data Acquisition
  • Data Processing, Illustration, and Inference
  • System and {Hardware} for Temporal Data Units
  • Challenges
  • References

LARGE-SCALE DATA REPRESENTATIONS 

  • Overview
  • Targets of Data Illustration
  • Challenges and Future Instructions
  • References

RESOURCES, TRADE-OFFS, AND LIMITATIONS 

  • Introduction
  • Related Facets of Theoretical Pc Science
  • Gaps and Alternatives
  • References

BUILDING MODELS FROM MASSIVE DATA 

  • Introduction to Statistical Fashions
  • Data Cleansing
  • Lessons of Fashions
  • Mannequin Tuning and Analysis
  • Challenges
  • References

SAMPLING AND MASSIVE DATA 

  • Widespread Strategies of Statistical Sampling
  • Challenges When Sampling from Massive Data
  • References

HUMAN INTERACTION WITH DATA 

  • Introduction
  • State of the Artwork
  • Hybrid Human/Pc Data Analysis
  • Alternatives, Challenges, and Instructions
  • References

THE SEVEN COMPUTATIONAL GIANTS OF MASSIVE DATA ANALYSIS

  • Fundamental Statistics
  • Generalized N-Physique Issues
  • Graph-Theoretic Computations
  • Linear Algebraic Computations
  • Optimizations
  • Integration
  • Alignment Issues
  • Dialogue
  • References
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