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Handbook of Massive Data Sets

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Cover of 'Handbook of Massive Data Sets'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Algorithmic Aspects of Information Retrieval on the Web
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    Chapter 2 High-Performance Web Crawling
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    Chapter 3 Internet Growth: Is There a “Moore’s Law” for Data Traffic?
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    Chapter 4 Random Evolution in Massive Graphs
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    Chapter 5 Property Testing in Massive Graphs
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    Chapter 6 String Pattern Matching for a Deluge Survival Kit
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    Chapter 7 Searching Large Text Collections
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    Chapter 8 Data Compression
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    Chapter 9 External Memory Data Structures
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    Chapter 10 External Memory Algorithms
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    Chapter 11 Data Envelopment Analysis (DEA) in Massive Data Sets
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    Chapter 12 Optimization Methods in Massive Data Sets
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    Chapter 13 Wavelets and Multiscale Transform in Astronomical Image Processing
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    Chapter 14 Clustering in Massive Data Sets
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    Chapter 15 Managing and Analyzing Massive Data Sets with Data Cubes
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    Chapter 16 Data Squashing: Constructing Summary Data Sets
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    Chapter 17 Mining and Monitoring Evolving Data
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    Chapter 18 Data Quality in Massive Data Sets
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    Chapter 19 Data Warehousing
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    Chapter 20 Aggregate View Management in Data Warehouses
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    Chapter 21 Semistructured Data and XML
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    Chapter 22 Overview of High Performance Computers
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    Chapter 23 The National Scalable Cluster Project: Three Lessons about High Performance Data Mining and Data Intensive Computing
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    Chapter 24 Sorting and Selection on Parallel Disk Models
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    Chapter 25 Billing in the Large
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    Chapter 26 Detecting Fraud in the Real World
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    Chapter 27 Massive Datasets in Astronomy
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    Chapter 28 Data Management in Environmental Information Systems
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    Chapter 29 Massive Data Sets Issues in Earth Observing
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    Chapter 30 Mining Biomolecular Data Using Background Knowledge and Artificial Neural Networks
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    Chapter 31 Massive Data Set Issues in Air Pollution Modelling
Overall attention for this book and its chapters
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Mentioned by

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3 Wikipedia pages

Citations

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106 Dimensions

Readers on

mendeley
55 Mendeley
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Title
Handbook of Massive Data Sets
Published by
Springer US, January 2002
DOI 10.1007/978-1-4615-0005-6
ISBNs
978-1-4613-4882-5, 978-1-4615-0005-6
Editors

James Abello, Panos M. Pardalos, Mauricio G. C. Resende

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 7%
Oman 1 2%
France 1 2%
Australia 1 2%
Italy 1 2%
Austria 1 2%
Unknown 46 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 29%
Researcher 12 22%
Student > Master 6 11%
Student > Bachelor 5 9%
Student > Postgraduate 4 7%
Other 12 22%
Readers by discipline Count As %
Computer Science 33 60%
Unspecified 5 9%
Business, Management and Accounting 4 7%
Physics and Astronomy 4 7%
Engineering 4 7%
Other 5 9%