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Data Stream Management

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Cover of 'Data Stream Management'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Data Stream Management: A Brave New World
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    Chapter 2 Data-Stream Sampling: Basic Techniques and Results
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    Chapter 3 Quantiles and Equi-depth Histograms over Streams
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    Chapter 4 Join Sizes, Frequency Moments, and Applications
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    Chapter 5 Top- \(k\) Frequent Item Maintenance over Streams
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    Chapter 6 Distinct-Values Estimation over Data Streams
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    Chapter 7 The Sliding-Window Computation Model and Results
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    Chapter 8 Clustering Data Streams
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    Chapter 9 Mining Decision Trees from Streams
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    Chapter 10 Frequent Itemset Mining over Data Streams
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    Chapter 11 Temporal Dynamics of On-Line Information Streams
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    Chapter 12 Sketch-Based Multi-Query Processing over Data Streams
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    Chapter 13 Approximate Histogram and Wavelet Summaries of Streaming Data
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    Chapter 14 Stable Distributions in Streaming Computations
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    Chapter 15 Tracking Queries over Distributed Streams
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    Chapter 16 STREAM: The Stanford Data Stream Management System
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    Chapter 17 The Aurora and Borealis Stream Processing Engines
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    Chapter 18 Extending Relational Query Languages for Data Streams
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    Chapter 19 Hancock: A Language for Analyzing Transactional Data Streams
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    Chapter 20 Sensor Network Integration with Streaming Database Systems
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    Chapter 21 Stream Processing Techniques for Network Management
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    Chapter 22 High-Performance XML Message Brokering
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    Chapter 23 Fast Methods for Statistical Arbitrage
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    Chapter 24 Adaptive, Automatic Stream Mining
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    Chapter 25 Conclusions and Looking Forward
Attention for Chapter 16: STREAM: The Stanford Data Stream Management System
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Chapter title
STREAM: The Stanford Data Stream Management System
Chapter number 16
Book title
Data Stream Management
Published by
Springer Berlin Heidelberg, July 2016
DOI 10.1007/978-3-540-28608-0_16
Book ISBNs
978-3-54-028607-3, 978-3-54-028608-0
Authors

Arvind Arasu, Brian Babcock, Shivnath Babu, John Cieslewicz, Mayur Datar, Keith Ito, Rajeev Motwani, Utkarsh Srivastava, Jennifer Widom, Arasu, Arvind, Babcock, Brian, Babu, Shivnath, Cieslewicz, John, Datar, Mayur, Ito, Keith, Motwani, Rajeev, Srivastava, Utkarsh, Widom, Jennifer

Editors

Minos Garofalakis, Johannes Gehrke, Rajeev Rastogi

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 272 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 8 3%
Italy 4 1%
Japan 3 1%
France 2 <1%
Portugal 2 <1%
Spain 2 <1%
India 2 <1%
Pakistan 1 <1%
Hong Kong 1 <1%
Other 7 3%
Unknown 240 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 85 31%
Student > Master 55 20%
Researcher 38 14%
Student > Bachelor 27 10%
Student > Postgraduate 11 4%
Other 38 14%
Unknown 18 7%
Readers by discipline Count As %
Computer Science 226 83%
Engineering 15 6%
Materials Science 3 1%
Business, Management and Accounting 2 <1%
Psychology 1 <1%
Other 2 <1%
Unknown 23 8%