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Artificial Intelligence Applications in Information and Communication Technologies

Overview of attention for book
Cover of 'Artificial Intelligence Applications in Information and Communication Technologies'

Table of Contents

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    Book Overview
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    Chapter 1 A Metaheuristic for Optimizing the Performance and the Fairness in Job Scheduling Systems
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    Chapter 2 Hybrid ACO and Tabu Search for Large Scale Information Retrieval
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    Chapter 3 Hosting Clients in Clustered and Virtualized Environment: A Combinatorial Optimization Approach
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    Chapter 4 On the Application of Artificial Intelligence Techniques to Create Network Intelligence
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    Chapter 5 A Statistical Framework for Mental Targets Search Using Mixture Models
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    Chapter 6 Variational Learning of Finite Inverted Dirichlet Mixture Models and Applications
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    Chapter 7 A Fully Bayesian Framework for Positive Data Clustering
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    Chapter 8 Applying Information Extraction for Abstracting and Automating CLI-Based Configuration of Network Devices in Heterogeneous Environments
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    Chapter 9 MKMSIS: A Multi-agent Knowledge Management System for Industrial Sustainability
Attention for Chapter 1: A Metaheuristic for Optimizing the Performance and the Fairness in Job Scheduling Systems
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Summary
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Chapter title
A Metaheuristic for Optimizing the Performance and the Fairness in Job Scheduling Systems
Chapter number 1
Book title
Artificial Intelligence Applications in Information and Communication Technologies
Published by
Springer, Cham, January 2015
DOI 10.1007/978-3-319-19833-0_1
Book ISBNs
978-3-31-919832-3, 978-3-31-919833-0
Authors

Dalibor Klusáček, Hana Rudová, Klusáček, Dalibor, Rudová, Hana

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 40%
Researcher 2 40%
Student > Master 1 20%
Readers by discipline Count As %
Computer Science 4 80%
Psychology 1 20%

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