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Data Streams

Overview of attention for book
Cover of 'Data Streams'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 An Introduction to Data Streams
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    Chapter 2 On Clustering Massive Data Streams: A Summarization Paradigm
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    Chapter 3 A Survey of Classification Methods in Data Streams
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    Chapter 4 Frequent Pattern Mining in Data Streams
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    Chapter 5 A Survey of Change Diagnosis Algorithms in Evolving Data Streams
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    Chapter 6 Multi-Dimensional Analysis of Data Streams Using Stream Cubes
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    Chapter 7 Load Shedding in Data Stream Systems
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    Chapter 8 The Sliding-Window Computation Model and Results
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    Chapter 9 A Survey of Synopsis Construction in Data Streams
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    Chapter 10 A Survey of Join Processing in Data Streams
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    Chapter 11 Indexing and Querying Data Streams
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    Chapter 12 Dimensionality Reduction and Forecasting on Streams
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    Chapter 13 A Survey of Distributed Mining of Data Streams
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    Chapter 14 Algorithms for Distributed Data Stream Mining
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    Chapter 15 A Survey of Stream Processing Problems and Techniques in Sensor Networks
Attention for Chapter 1: An Introduction to Data Streams
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Citations

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320 Dimensions

Readers on

mendeley
52 Mendeley
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1 CiteULike
Summary Dimensions citations
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Chapter title
An Introduction to Data Streams
Chapter number 1
Book title
Data Streams
Published by
Springer, Boston, MA, January 2007
DOI 10.1007/978-0-387-47534-9_1
Book ISBNs
978-0-387-28759-1, 978-0-387-47534-9
Authors

Charu C. Aggarwal

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 4%
Italy 1 2%
Brazil 1 2%
United Kingdom 1 2%
United States 1 2%
Poland 1 2%
Unknown 45 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 35%
Student > Master 10 19%
Researcher 9 17%
Student > Postgraduate 3 6%
Professor > Associate Professor 3 6%
Other 5 10%
Unknown 4 8%
Readers by discipline Count As %
Computer Science 41 79%
Engineering 4 8%
Social Sciences 1 2%
Business, Management and Accounting 1 2%
Unknown 5 10%

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