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Handbook of Massive Data Sets (Massive Computing) [Hardcover]

James Abello (Editor), Panos M. Pardalos (Editor), Mauricio G.C. Resende (Editor)

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Book Description

ISBN-10: 1402004893 | ISBN-13: 978-1402004896 | Publication Date: March 31, 2002 | Edition: 1

The Handbook of Massive Data Sets is comprised of articles written 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, clustering methods, wavelets, optimization, external memory algorithms and data structures, the US national cluster 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. 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.

#outer_postBodyPS { display: none; } #psGradient { display: none; } #psPlaceHolder { display: none; } #psExpand { display: none; } The Handbook of Massive Data Sets is comprised of articles written 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, clustering methods, wavelets, optimization, external memory algorithms and data structures, the US national cluster 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. 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.

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Product Details

Hardcover: 1236 pages
Publisher: Springer; 1 edition (March 31, 2002)
Language: English
ISBN-10: 1402004893
ISBN-13: 978-1402004896
Product Dimensions: 9.8 x 6.7 x 2.2 inches
Shipping Weight: 5.2 pounds (View shipping rates and policies)
Amazon Best Sellers Rank: #3,668,676 in Books (See Top 100 in Books)

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Inside This Book (learn more)

First Sentence:
In this chapter we discuss algorithmic issues specific to information retrieval on the Web. Read the first page

Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
bipartite tester, small suffix array, mother dataset, sparse data cubes, testing graph properties, stabbing query problem, consecutive datasets, convexity row, multislab lists, dirty sequence, weak motifs, prefix join, aggregate range queries, border itemsets, splitting predicate, current subinterval, parallel disk systems, new itemsets, rebalance operation, external memory algorithms, power law graphs, air pollution forecast, iceberg queries, eulerian model, large air pollution models

Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Discrete Algorithms, United States, University of California, Per Proc, Principles of Database Systems, Very Large Data Bases, Theory of Computing, San Francisco, Morgan Kaufmann, University of Wisconsin, Computer Society, Database Theory, Iii Proc, Santa Barbara, University of Waterloo, American Mathematical Society, Annual Symposium, Florham Park, Lucent Technologies, Bell Labs, Dan Suciu, Data Center, North America, Siemens Nixdorf

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Citations (learn more)

21 books cite this book:

Discrete Methods in Epidemiology: Dimacs Workshop, Date Mining And Epidemioloogy, March 18-19, 2004, Dimacs Center, Rutgers University (Dimacs Series ... Mathematics and Theoretical Computer Science) by Abello and Cormode on page 38, and page 40
Ethernet Passive Optical Networks (Professional Engineering) by Glen Kramer on page 12, and Back Matter
Computing and Combinatorics: 10th Annual International Conference, COCOON 2004, Jeju Island, Korea, August 17-20, 2004, Proceedings (Lecture Notes in Computer Science) by Kyung-Yong Chwa on page 1
Algorithms - ESA 2001: 9th Annual European Symposium, Aarhus, Denmark, August 28-31, 2001, Proceedings (Lecture Notes in Computer Science) by Friedhelm Meyer auf der Heide on page 22
Peer-to-Peer Systems on page 93

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