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Data Streams

Overview of attention for book
Cover of 'Data Streams'

Table of Contents

  1. Altmetric Badge
    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 4: Frequent Pattern Mining in Data Streams
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Citations

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Chapter title
Frequent Pattern Mining in Data Streams
Chapter number 4
Book title
Data Streams
Published by
Springer, Boston, MA, January 2007
DOI 10.1007/978-0-387-47534-9_4
Book ISBNs
978-0-387-28759-1, 978-0-387-47534-9
Authors

Ruoming Jin, Gagan Agrawal

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 33%
Unknown 2 67%

Demographic breakdown

Readers by professional status Count As %
Librarian 1 33%
Researcher 1 33%
Other 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Social Sciences 1 33%

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