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Active, Real-Time, and Temporal Database Systems

Overview of attention for book
Cover of 'Active, Real-Time, and Temporal Database Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Real-Time and Active Databases: A Survey
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    Chapter 2 Design of a Real-Time SQL Engine in the Distributed Environment
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    Chapter 3 A Cellular Database System for the 21st Century
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    Chapter 4 BeeHive: Global Multimedia Database Support for Dependable, Real-Time Applications
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    Chapter 5 An Active Real-Time Database Model for Air Traffic Control Systems
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    Chapter 6 Performance Issues in Processing Active Real-Time Transactions
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    Chapter 7 Scheduling of Triggered Transactions in Distributed Real-time Active Databases
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    Chapter 8 Buffer Management in Active, Real-Time Database Systems
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    Chapter 9 Parallel Event Detection in Active Database Systems: The Heart of the Matter
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    Chapter 10 Toward Duration-Based, Constrained and Dynamic Event Types
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    Chapter 11 Supporting System-Level Testing of Applications by Active Real-Time Database Systems
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    Chapter 12 Temporal Indeterminacy in Deductive Databases: An Approach Based on Event Calculus
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    Chapter 13 Panel Session: Predictability in Active Real-Time/Temporal Databases
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    Chapter 14 Panel Session: Practical and Industrial Experience in Active Real-Time Databases
Attention for Chapter 1: Real-Time and Active Databases: A Survey
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Citations

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Chapter title
Real-Time and Active Databases: A Survey
Chapter number 1
Book title
Active, Real-Time, and Temporal Database Systems
Published by
Springer, Berlin, Heidelberg, January 1998
DOI 10.1007/3-540-49151-1_1
Book ISBNs
978-3-54-065649-4, 978-3-54-049151-4
Authors

Joakim Eriksson

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Taiwan 1 17%
Unknown 5 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Professor > Associate Professor 2 33%
Student > Master 2 33%
Readers by discipline Count As %
Computer Science 5 83%
Engineering 1 17%

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