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Intelligent Decision Technologies 2016

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Cover of 'Intelligent Decision Technologies 2016'

Table of Contents

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    Book Overview
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    Chapter 1 Comparison of Four Methods of Combining Classifiers on the Basis of Dispersed Medical Data
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    Chapter 2 Estimation of Coefficient of Static Friction of Surface by Analyzing Photo Images
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    Chapter 3 Decision Case Management for Digital Enterprise Architectures with the Internet of Things
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    Chapter 4 Exploiting Emoticons to Generate Emotional Dictionaries from Facebook Pages
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    Chapter 5 Multiple Ontology-Based Indexing of Multimedia Documents on the World Wide Web
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    Chapter 6 Feature Selection Methods Based on Decision Rule and Tree Models
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    Chapter 7 Automatic Categorization of Email into Folders by Ant Colony Decision Tree and Social Networks
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    Chapter 8 Using Dissimilarity Matrix for Eye Movement Biometrics with a Jumping Point Experiment
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    Chapter 9 Epigenetically Inspired Modification of Genetic Algorithm and His Efficiency on Biological Sequence Alignment
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    Chapter 10 Meta-Bayes Classifier with Markov Model Applied to the Control of Bioprosthetic Hand
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    Chapter 11 Contextual Modelling Collaborative Recommender System—Real Environment Deployment Results
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    Chapter 12 Decision Trees on the Foreign Exchange Market
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    Chapter 13 On Granular Rough Computing: Covering by Joint and Disjoint Granules in Epsilon Concept Dependent Granulation
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    Chapter 14 On Approaches to Discretization of Datasets Used for Evaluation of Decision Systems
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    Chapter 15 A Bayesian Approach to Classify the Music Scores on the Basis of the Music Style
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    Chapter 16 A Framework for Extracting Reliable Information from Unstructured Uncertain Big Data
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    Chapter 17 Visual Builder of Rules for Spacecraft Onboard Real-Time Knowledge Base
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    Chapter 18 A Generic Document Retrieval Framework Based on UMLS Similarity for Biomedical Question Answering System
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    Chapter 19 An IoA Cloud-Based Farmer Support System “AgriMieru”
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    Chapter 20 Review Paper: Paraconsistent Process Order Control
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    Chapter 21 Modeling and Forecasting of Well-Being Using Fuzzy Cognitive Maps
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    Chapter 22 Embedded Dynamic Fuzzy Cognitive Maps for Controller in Industrial Mixer
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    Chapter 23 Analyzing Cloud Business Services with Choquet Fuzzy Integrals and Support Vector Machines
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    Chapter 24 Time-Preserving Visual Attention Maps
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    Chapter 25 Eye Movements in Reading the Texts of Different Functional Styles: Evidence from Russian
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    Chapter 26 Monitoring Dementia with Automatic Eye Movements Analysis
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    Chapter 27 Eye Movement Evidence of Cognitive Strategies in SL Vocabulary Learning
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    Chapter 28 Application of Eye Tracking for Diagnosis and Therapy of Children with Brain Disabilities
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    Chapter 29 Forecasting Domestic Water Consumption Using Bayesian Model
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    Chapter 30 An Evaluation of the Instruments Aimed at Poland’s Water Savings
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    Chapter 31 Soft Computing Approaches for Urban Water Demand Forecasting
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    Chapter 32 Ranking Alternatives by Pairwise Comparisons Matrix with Fuzzy Elements on Alo-Group
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    Chapter 33 An Analysis on Three Inflection Points on Four Economic Phases
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    Chapter 34 Economic Rationalities and Governmental Actions on the Thetical Economics and the Antithetical Economics
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    Chapter 35 Improvement of the Weights Due to Inconsistent Pairwise Comparisons in the AHP
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    Chapter 36 Super Pairwise Comparison Matrix in the Dominant AHP
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    Chapter 37 Heterogeneous NoSQL Databases Abstraction Approach Based on Full Text Search Indexes
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    Chapter 38 Potentials of Image Mining for Business Process Management
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    Chapter 39 Decision Trees as Readable Models for Early Childhood Caries
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    Chapter 40 Music Genre Classification Using a Gradient-Based Local Texture Descriptor
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    Chapter 41 Robust Speaker Identification in a Meeting with Short Audio Segments
Overall attention for this book and its chapters
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Citations

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Title
Intelligent Decision Technologies 2016
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-39627-9
ISBNs
978-3-31-939626-2, 978-3-31-939627-9
Editors

Ireneusz Czarnowski, Alfonso Mateos Caballero, Robert J. Howlett, Lakhmi C. Jain

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 7%
Student > Ph. D. Student 1 3%
Unknown 26 90%
Readers by discipline Count As %
Computer Science 2 7%
Engineering 1 3%
Unknown 26 90%