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Intelligent Distributed Computing X

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Cover of 'Intelligent Distributed Computing X'

Table of Contents

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    Book Overview
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    Chapter 1 Adaptive Scaling Up/Down for Elastic Clouds
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    Chapter 2 A Dynamic Model to enhance the Distributed Discovery of services in P2P Overlay Networks
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    Chapter 3 Simulation of Dynamic Systems Using BDI Agents: Initial Steps
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    Chapter 4 A Multi-Agent Approach for the Deployment of Distributed Applications in Smart Environments
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    Chapter 5 A Guidance of Ambient Agents Adapted to Opportunistic Situations
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    Chapter 6 Extended Context Patterns - A Visual Language for Context-Aware Applications?
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    Chapter 7 MDE4IoT: Supporting the Internet of Things with Model-Driven Engineering
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    Chapter 8 Detection of traffic anomalies in multi-service networks based on a fuzzy logical inference
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    Chapter 9 Reconfiguration of RBAC schemes by genetic algorithms
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    Chapter 10 String-based Malware Detection for Android Environments
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    Chapter 11 Optimal Configuration Model of a Fleet of Unmanned Vehicles for Interoperable Missions
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    Chapter 12 Spatial Tuples: Augmenting Physical Reality with Tuple Spaces
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    Chapter 13 Exploring unknown environments with multi-modal locomotion swarm
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    Chapter 14 GroupTrust: Finding Trust-based Group Structures in Social Communities
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    Chapter 15 Non-intrusive Monitoring of Attentional Behavior in Teams
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    Chapter 16 A Speculative Computation Approach for Conflict Styles Assessment with Incomplete Information
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    Chapter 17 Forming Classes in an e-Learning Social Network Scenario
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    Chapter 18 Scheduling Optimization in Grid with VO Stakeholders’ Preferences
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    Chapter 19 On the Application of Bio-inspired Heuristics for Network Routing with Multiple QoS Constraints
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    Chapter 20 Dealing with the Best Attachment Problem via Heuristics
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    Chapter 21 Towards Collaborative Sensing using Dynamic Intelligent Virtual Sensors
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    Chapter 22 Machine Learning in Distributed Environments
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    Chapter 23 A Probabilistic Sample Matchmaking Strategy for Imbalanced Data Streams with Concept Drift
Attention for Chapter 23: A Probabilistic Sample Matchmaking Strategy for Imbalanced Data Streams with Concept Drift
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Chapter title
A Probabilistic Sample Matchmaking Strategy for Imbalanced Data Streams with Concept Drift
Chapter number 23
Book title
Intelligent Distributed Computing X
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-48829-5_23
Book ISBNs
978-3-31-948828-8, 978-3-31-948829-5
Authors

Jesus L. Lobo, Javier Del Ser, Miren Nekane Bilbao, Ibai Laña, S. Salcedo-Sanz

Editors

Costin Badica, Amal El Fallah Seghrouchni, Aurélie Beynier, David Camacho, Cédric Herpson, Koen Hindriks, Paulo Novais

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 75%
Professor > Associate Professor 1 25%
Readers by discipline Count As %
Computer Science 4 100%