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Handbook of Massive Data Sets

  • Book
  • © 2002

Overview

Editors:
  1. James Abello

    1. AT&T Labs Research, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Panos M. Pardalos

    1. University of Florida, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Mauricio G. C. Resende

    1. AT&T Labs Research, USA

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Part of the book series: Massive Computing (MACO, volume 4)

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Table of contents (31 chapters)

  1. Front Matter

    Pages i-xii
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  2. Internet and the World Wide Web

    1. Front Matter

      Pages 1-1
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    2. Algorithmic Aspects of Information Retrieval on the Web

      • Andrei Broder, Monika Henzinger
      Pages 3-23

    3. High-Performance Web Crawling

      • Marc Najork, Allan Heydon
      Pages 25-45

    4. Internet Growth: Is There a “Moore’s Law” for Data Traffic?

      • K. G. Coffman, A. M. Odlyzko
      Pages 47-93

  3. Massive Graphs

    1. Front Matter

      Pages 95-95
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    2. Random Evolution in Massive Graphs

      • William Aiello, Fan Chung, Linyuan Lu
      Pages 97-122

    3. Property Testing in Massive Graphs

      • Oded Goldreich
      Pages 123-147

  4. String Processing and Data Compression

    1. Front Matter

      Pages 149-149
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    2. String Pattern Matching for a Deluge Survival Kit

      • Alberto Apostolico, Maxime Crochemore
      Pages 151-194

    3. Searching Large Text Collections

      • Ricardo Baeza-Yates, Alistair Moffat, Gonzalo Navarro
      Pages 195-243

    4. Data Compression

      • David Salomon
      Pages 245-309

  5. External Memory Algorithms and Data Structures

    1. Front Matter

      Pages 311-311
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    2. External Memory Data Structures

      • Lars Arge
      Pages 313-357

    3. External Memory Algorithms

      • Jeffrey Scott Vitter
      Pages 359-416

  6. Optimization

    1. Front Matter

      Pages 417-417
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    2. Data Envelopment Analysis (DEA) in Massive Data Sets

      • José H. Dulá, Francisco J. López
      Pages 419-437

    3. Optimization Methods in Massive Data Sets

      • P. S. Bradley, O. L. Mangasarian, D. R. Musicant
      Pages 439-471

    4. Wavelets and Multiscale Transform in Astronomical Image Processing

      • Fionn Murtagh, Jean-Luc Starck
      Pages 473-500

    5. Clustering in Massive Data Sets

      • Fionn Murtagh
      Pages 501-543
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Keywords

About this book

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 addressed by diverse inter-disciplinary groups, that indude computer scientists, mathematicians, statisticians and engineers, working in dose cooperation with application domain experts. High profile applications indude astrophysics, bio-technology, demographics, finance, geographi­ cal information systems, government, medicine, telecommunications, the environment and the internet. John R. Tucker of the Board on Mathe­ matical Seiences has stated: "My interest in this problern (Massive Data Sets) isthat I see it as the rnost irnportant cross-cutting problern for the rnathernatical sciences in practical problern solving for the next decade, because it is so pervasive. " The Handbook of Massive Data Sets is comprised of articles writ­ ten by experts on selected topics that deal with some major aspect of massive data sets. It contains chapters on information retrieval both in the internet and in the traditional sense, web crawlers, massive graphs, string processing, data compression, dustering methods, wavelets, op­ timization, external memory algorithms and data structures, the US national duster project, high performance computing, data warehouses, data cubes, semi-structured data, data squashing, data quality, billing in the large, fraud detection, and data processing in astrophysics, air pollution, biomolecular data, earth observation and the environment.

Editors and Affiliations

  • AT&T Labs Research, USA

    James Abello, Mauricio G. C. Resende

  • University of Florida, USA

    Panos M. Pardalos

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