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Handbook of Massive Data Sets

The proliferation of massive data sets brings with it a series of special computational challenges. This "data avalanche" arises in a wide range of scientific and commercial applications. With advances in computer and information technologies, many of these challenges are beginning to be a...

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Bibliographic Details
Other Authors: Abello, James (Editor), Pardalos, Panos M. (Editor), Resende, Mauricio G.C. (Editor)
Format: eBook
Language:English
Published: New York, NY Springer US 2002, 2002
Edition:1st ed. 2002
Series:Massive Computing
Subjects:
Data Structures And Information Theory
Mathematical Physics
Artificial Intelligence
Information Theory
Data Structures (computer Science)
Complex Systems
Theoretical, Mathematical And Computational Physics
System Theory
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • Preface
  • Part I: Internet and the World Wide Web
  • Part II: Massive Graphs
  • Part III: String Processing and Data Compression
  • Part IV: External Memory Algorithms and Data Structures
  • Part V: Optimization
  • Part VI: Data Management
  • Part VII: Architecture Issues
  • Part VIII: Applications
  • Index

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