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Intelligent Computing Systems

Overview of attention for book
Cover of 'Intelligent Computing Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Intelligent Computing Systems
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    Chapter 2 Semantic Tools; Their Use for Knowledge Management in the Public Sector
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    Chapter 3 From Game Theory to Complexity, Emergence and Agent-Based Modeling in World Politics
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    Chapter 4 A Semantic Approach for Representing and Querying Business Processes
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    Chapter 5 Using Conversational Knowledge Management as a Lens for Virtual Collaboration in the Course of Small Group Activities
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    Chapter 6 Spatial Environments for m-Learning: Review and Potentials
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    Chapter 7 Science Teachers’ Metaphors of Digital Technologies and Social Media in Pedagogy in Finland and in Greece
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    Chapter 8 Data Driven Monitoring of Energy Systems: Gaussian Process Kernel Machine for Fault Identification with Application to Boiling Water Reactors
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    Chapter 9 A Framework to Assess the Behavior and Performance of a City Towards Energy Optimization
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    Chapter 10 An Energy Management Platform for Smart Microgrids
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    Chapter 11 Transit Journaling and Traffic Sensitive Routing for a Mixed Mode Public Transportation System
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    Chapter 12 Adaptation of Automatic Information Extraction Method for Environmental Heatmaps to U-Matrices of Self Organising Maps
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    Chapter 13 Evolutionary Computing and Genetic Algorithms: Paradigm Applications in 3D Printing Process Optimization
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    Chapter 14 Car-Like Mobile Robot Navigation: A Survey
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    Chapter 15 Computing a Similarity Coefficient for Mining Massive Data Sets
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    Chapter 16 A Probe Guided Crossover Operator for More Efficient Exploration of the Search Space
Attention for Chapter 15: Computing a Similarity Coefficient for Mining Massive Data Sets
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Citations

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Chapter title
Computing a Similarity Coefficient for Mining Massive Data Sets
Chapter number 15
Book title
Intelligent Computing Systems
Published by
Springer, Berlin, Heidelberg, January 2016
DOI 10.1007/978-3-662-49179-9_15
Book ISBNs
978-3-66-249177-5, 978-3-66-249179-9
Authors

M. Coşulschi, M. Gabroveanu, A. Sbîrcea, Coşulschi, M., Gabroveanu, M., Sbîrcea, A.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 50%
Unknown 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Unknown 1 50%

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