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Intelligent Data Engineering and Automated Learning – IDEAL 2018

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Cover of 'Intelligent Data Engineering and Automated Learning – IDEAL 2018'

Table of Contents

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    Book Overview
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    Chapter 1 Ontology Uses for Radicalisation Detection on Social Networks
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    Chapter 2 Measuring Extremism: Validating an Alt-Right Twitter Accounts Dataset
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    Chapter 3 RiskTrack: Assessing the Risk of Jihadi Radicalization on Twitter Using Linguistic Factors
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    Chapter 4 On Detecting Online Radicalization Using Natural Language Processing
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    Chapter 5 Automated, Nomenclature Based Data Point Selection for Industrial Event Log Generation
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    Chapter 6 Monitoring Equipment Operation Through Model and Event Discovery
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    Chapter 7 Creation of an Event Log from a Low-Level Machinery Monitoring System for Process Mining Purposes
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    Chapter 8 Causal Rules Detection in Streams of Unlabeled, Mixed Type Values with Finit Domains
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    Chapter 9 On the Opportunities for Using Mobile Devices for Activity Monitoring and Understanding in Mining Applications
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    Chapter 10 A Taxonomy for Combining Activity Recognition and Process Discovery in Industrial Environments
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    Chapter 11 Mining Attributed Interaction Networks on Industrial Event Logs
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    Chapter 12 Evidence-Based Systematic Literature Reviews in the Cloud
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    Chapter 13 Bibliometric Network Analysis to Identify the Intellectual Structure and Evolution of the Big Data Research Field
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    Chapter 14 A New Approach for Implicit Citation Extraction
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    Chapter 15 Constructing Bibliometric Networks from Spanish Doctoral Theses
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    Chapter 16 Measuring the Impact of the International Relationships of the Andalusian Universities Using Dimensions Database
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    Chapter 17 Gaussian Process Kernels for Support Vector Regression in Wind Energy Prediction
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    Chapter 18 Studying the Effect of Measured Solar Power on Evolutionary Multi-objective Prediction Intervals
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    Chapter 19 Merging ELMs with Satellite Data and Clear-Sky Models for Effective Solar Radiation Estimation
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    Chapter 20 Distribution-Based Discretisation and Ordinal Classification Applied to Wave Height Prediction
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    Chapter 21 Wind Power Ramp Events Ordinal Prediction Using Minimum Complexity Echo State Networks
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    Chapter 22 GELAB - A Matlab Toolbox for Grammatical Evolution
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    Chapter 23 Bat Algorithm Swarm Robotics Approach for Dual Non-cooperative Search with Self-centered Mode
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    Chapter 24 Hospital Admission and Risk Assessment Associated to Exposure of Fungal Bioaerosols at a Municipal Landfill Using Statistical Models
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    Chapter 25 Novelty Detection Using Elliptical Fuzzy Clustering in a Reproducing Kernel Hilbert Space
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    Chapter 26 Semi-supervised Learning to Reduce Data Needs of Indoor Positioning Models
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    Chapter 27 Different Approaches of Data and Attribute Selection on Headache Disorder
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    Chapter 28 A Study of Fuzzy Clustering to Archetypal Analysis
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    Chapter 29 Bare Bones Fireworks Algorithm for Medical Image Compression
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    Chapter 30 EMnGA: Entropy Measure and Genetic Algorithms Based Method for Heterogeneous Ensembles Selection
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    Chapter 31 Feature Selection and Interpretable Feature Transformation: A Preliminary Study on Feature Engineering for Classification Algorithms
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    Chapter 32 Data Pre-processing to Apply Multiple Imputation Techniques: A Case Study on Real-World Census Data
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    Chapter 33 Imbalanced Data Classification Based on Feature Selection Techniques
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    Chapter 34 Design of Japanese Tree Frog Algorithm for Community Finding Problems
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    Chapter 35 An Artificial Bee Colony Algorithm for Optimizing the Design of Sensor Networks
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    Chapter 36 Community Detection in Weighted Directed Networks Using Nature-Inspired Heuristics
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    Chapter 37 A Metaheuristic Approach for the $$ \alpha $$α-separator Problem
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Title
Intelligent Data Engineering and Automated Learning – IDEAL 2018
Published by
Springer International Publishing, January 2018
DOI 10.1007/978-3-030-03496-2
ISBNs
978-3-03-003495-5, 978-3-03-003496-2
Editors

Hujun Yin, David Camacho, Paulo Novais, Antonio J. Tallón-Ballesteros

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 100%
Canada 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 200%
Student > Bachelor 1 100%
Professor 1 100%
Professor > Associate Professor 1 100%
Unspecified 1 100%
Other 0 0%
Readers by discipline Count As %
Environmental Science 1 100%
Unspecified 1 100%
Mathematics 1 100%
Linguistics 1 100%
Agricultural and Biological Sciences 1 100%
Other 1 100%