Frontiers in Massive Data Analysis

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Frontiers in Massive Data Analysis

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Committee on the Analysis of Massive Data
Committee on Applied and Theoretical Statistics
Board on Mathematical Sciences and Their Applications
Division on Engineering and Physical Sciences
THE NATIONAL ACADEMIES PRESS

Contents of Frontiers in Massive Data Analysis PDF

INTRODUCTION 

  • The Challenge
  • What Has Changed in Recent Years?
  • Organization of This Report
  • References

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

  • Where Are Massive Data Appearing?
  • Challenges to the Analysis of Massive Data
  • Trends in Massive Data Analysis
  • Examples
  • References

SCALING THE INFRASTRUCTURE FOR DATA MANAGEMENT

  • Scaling the Number of Data Sets
  • Scaling Computing Technology through Distributed and
  • Parallel Systems
  • Trends and Future Research
  • References
  • Frontiers in Massive Data Analysis

TEMPORAL DATA AND REAL-TIME ALGORITHMS 

  • Introduction
  • Data Acquisition
  • Data Processing, Representation, and Inference
  • System and Hardware for Temporal Data Sets
  • Challenges
  • References

LARGE-SCALE DATA REPRESENTATIONS 

  • Overview
  • Goals of Data Representation
  • Challenges and Future Directions
  • References

RESOURCES, TRADE-OFFS, AND LIMITATIONS 

  • Introduction
  • Relevant Aspects of Theoretical Computer Science
  • Gaps and Opportunities
  • References

BUILDING MODELS FROM MASSIVE DATA 

  • Introduction to Statistical Models
  • Data Cleaning
  • Classes of Models
  • Model Tuning and Evaluation
  • Challenges
  • References

SAMPLING AND MASSIVE DATA 

  • Common Techniques of Statistical Sampling
  • Challenges When Sampling from Massive Data
  • References

HUMAN INTERACTION WITH DATA 

  • Introduction
  • State of the Art
  • Hybrid Human/Computer Data Analysis
  • Opportunities, Challenges, and Directions
  • References

THE SEVEN COMPUTATIONAL GIANTS OF MASSIVE DATA ANALYSIS

  • Basic Statistics
  • Generalized N-Body Problems
  • Graph-Theoretic Computations
  • Linear Algebraic Computations
  • Optimizations
  • Integration
  • Alignment Problems
  • Discussion
  • References

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