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Massive Computing

Handbook of Massive Data Sets

Editors: Abello, James, Pardalos, Panos M., Resende, Mauricio G.C. (Eds.)

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Hardcover $709.00
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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.

Table of contents (31 chapters)

  • Algorithmic Aspects of Information Retrieval on the Web

    Broder, Andrei (et al.)

    Pages 3-23

  • High-Performance Web Crawling

    Najork, Marc (et al.)

    Pages 25-45

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

    Coffman, K. G. (et al.)

    Pages 47-93

  • Random Evolution in Massive Graphs

    Aiello, William (et al.)

    Pages 97-122

  • Property Testing in Massive Graphs

    Goldreich, Oded

    Pages 123-147

Buy this book

eBook $559.00
price for USA (gross)
  • ISBN 978-1-4615-0005-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $709.00
price for USA
  • ISBN 978-1-4020-0489-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $709.00
price for USA
  • ISBN 978-1-4613-4882-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Handbook of Massive Data Sets
Editors
  • James Abello
  • Panos M. Pardalos
  • Mauricio G.C. Resende
Series Title
Massive Computing
Series Volume
4
Copyright
2002
Publisher
Springer US
Copyright Holder
Springer-Verlag US
eBook ISBN
978-1-4615-0005-6
DOI
10.1007/978-1-4615-0005-6
Hardcover ISBN
978-1-4020-0489-6
Softcover ISBN
978-1-4613-4882-5
Series ISSN
1569-2698
Edition Number
1
Number of Pages
XXIV, 1223
Topics