Intelligent Data Engineering and Automated Learning - IDEAL 2018

Name: Intelligent Data Engineering and Automated Learning - IDEAL 2018 | 19th International Conference, Madrid, Spain, November 21-23, 2018, Proceedings, Part II
Brand: Springer
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19th International Conference, Madrid, Spain, November 21-23, 2018, Proceedings, Part II

Hujun Yin David Camacho Paulo Novais Antonio J. Tallón-Ballesteros(Editor)

Springer (Publisher)

Published on 8. November 2018

XXVI, 349 pages

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978-3-030-03496-2 (ISBN)

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Content

Intro
Preface
Organization
Contents - Part II
Contents - Part I
Workshop on RiskTrack: Analyzing Radicalization in Online Social Networks
Ontology Uses for Radicalisation Detection on Social Networks
Abstract
1 Introduction
2 Ontology Uses for Radicalisation Detection
2.1 Ontologies in the Data Analysis Phase
2.2 Ontologies in the Data Exploration Phase
3 Conclusion
Acknowledgment
References
Measuring Extremism: Validating an Alt-Right Twitter Accounts Dataset
Abstract
1 Introduction
2 Methodology
3 Results
4 Discussion
References
RiskTrack: Assessing the Risk of Jihadi Radicalization on Twitter Using Linguistic Factors
Abstract
1 Introduction
2 Linguistic Factors as Risk Factors
3 Distribution of the Linguistic Factors Weight
4 Conclusion
References
On Detecting Online Radicalization Using Natural Language Processing
Abstract
1 Introduction
2 Method
2.1 Radicalization Score
2.2 Machine Learning Based Classification
3 Method
3.1 Dataset
References
Workshop on Methods for Interpretation of Industrial Event Logs
Automated, Nomenclature Based Data Point Selection for Industrial Event Log Generation
1 Introduction
2 Industry 4.0 Vision
3 Creation and Evaluation of Industrial Event Log
3.1 Data Collection Procedure
3.2 Evaluation
4 Related Works
5 Discussion
6 Conclusion and Future Works
References
Monitoring Equipment Operation Through Model and Event Discovery
1 Introduction
2 Related Work
3 Description of the Domains
4 Method
5 Results
6 Conclusions
References
Creation of an Event Log from a Low-Level Machinery Monitoring System for Process Mining Purposes
Abstract
1 Introduction
2 Process Description
3 Identification of Case ID in a Raw Data
4 Creation of an Event Log
5 Conclusions
Acknowledgements
References
Causal Rules Detection in Streams of Unlabeled, Mixed Type Values with Finit Domains
1 Introduction and Motivation
2 Change Detection in Data Streams
3 Discovery of Rules in Streams with Unlabeled, Mixed Type Values
4 Evaluation
5 Summary and Future Works
References
On the Opportunities for Using Mobile Devices for Activity Monitoring and Understanding in Mining Applications
1 Introduction
2 Wearables in the Mining Industry
3 Challenges for Personnel Monitoring in the Underground Mine
4 Solutions for Activity Monitoring Using Wearables and Mobiles
5 Summary and Future Work
References
A Taxonomy for Combining Activity Recognition and Process Discovery in Industrial Environments
1 Introduction
2 Background
2.1 Activity Recognition
2.2 Process Mining
3 Literature Overview
4 Taxonomy for Activity Recognition and Process Discovery in Industrial Environments
5 Conclusion
References
Mining Attributed Interaction Networks on Industrial Event Logs
1 Introduction
2 Related Work
2.1 Analysis of Alarm Event Logs
2.2 Analysis of Event Logs Using Process Mining
3 Method
3.1 Modeling Attributed Interaction Networks from Event Logs
3.2 Descriptive Community Mining
4 Results
4.1 Datasets
4.2 Results and Discussion
5 Conclusions
References
Special Session on Intelligent Techniques for the Analysis of Scientific Articles and Patents
Evidence-Based Systematic Literature Reviews in the Cloud
1 Introduction
2 Literature Review Tool Support
3 The CloudSERA Tool
4 Conclusion
References
Bibliometric Network Analysis to Identify the Intellectual Structure and Evolution of the Big Data Research Field
Abstract
1 Introduction
2 Methodology and Dataset
3 Performance Bibliometric Analysis of the Big Data
4 Science Mapping Analysis of Big Data
4.1 Conceptual Structure of Big Data Research Field
4.2 Conceptual Evolution Map
5 Conclusions
Acknowledgements
References
A New Approach for Implicit Citation Extraction
1 Introduction
2 Citation Context Extraction
2.1 Definition
2.2 Related Works
3 Proposed Approach
3.1 Step1: Topic Modeling
3.2 Step2: Implicit Citation Extraction
4 Real Example About Implicit Citation Extraction
5 Conclusion and Future Work
References
Constructing Bibliometric Networks from Spanish Doctoral Theses
1 Introduction
2 Methodology
3 Results
4 Conclusions
References
Measuring the Impact of the International Relationships of the Andalusian Universities Using Dimensions Database
1 Introduction
2 Methodology
3 Results
4 Conclusions
References
Special Session on Machine Learning for Renewable Energy Applications
Gaussian Process Kernels for Support Vector Regression in Wind Energy Prediction
1 Introduction
2 GPR and SVR
3 Wind Energy Experiments
4 Discussion and Conclusions
References
Studying the Effect of Measured Solar Power on Evolutionary Multi-objective Prediction Intervals
1 Introduction
2 Data Description
3 Multi-objective Optimization for Prediction Intervals
4 Experimental Validation
5 Conclusions
References
Merging ELMs with Satellite Data and Clear-Sky Models for Effective Solar Radiation Estimation
1 Introduction
2 Data Description and Methodology
3 The Extreme-Learning Machine
4 Experiments and Results
5 Conclusions
References
Distribution-Based Discretisation and Ordinal Classification Applied to Wave Height Prediction
1 Introduction
2 Methodology
2.1 Discretization of Wave Height
2.2 Ordinal Classification
3 Experiments and Results
3.1 Dataset Used
3.2 Experimental Settings
3.3 Results and Discussion
4 Conclusions
References
Wind Power Ramp Events Ordinal Prediction Using Minimum Complexity Echo State Networks
1 Introduction
2 Proposed Architectures
3 Experiments
3.1 Dataset Considered
3.2 Evaluation Metrics
3.3 Experimental Design
3.4 Results
4 Conclusions
References
Special Session on Evolutionary Computing Methods for Data Mining: Theory and Applications
GELAB - A Matlab Toolbox for Grammatical Evolution
1 Introduction
2 Grammatical Evolution
2.1 libGE
2.2 libGE in Java
3 GELAB
4 Results
5 Additional Features of GELAB
5.1 GELAB and the Compact Genetic Algorithm (cGA)
5.2 Caching
5.3 GELAB and Multiple Input Multiple Output (MIMO) Systems
6 Conclusions and Future Work
References
Bat Algorithm Swarm Robotics Approach for Dual Non-cooperative Search with Self-centered Mode
1 Introduction
2 The Bat Algorithm
3 Bat Algorithm Method for Robotic Swarms
4 Experimental Results
5 Conclusions and Future Work
References
Hospital Admission and Risk Assessment Associated to Exposure of Fungal Bioaerosols at a Municipal Landfill Using Statistical Models
Abstract
1 Introduction
2 Materials and Methods
2.1 Site Selection and Fungi Aerosol Collection
2.2 Analysis Data
2.3 Risk Assessment: Estimation of the Occupational Exposure to Fungal Aerosols in a Landfill
2.4 Operator Type vs Exposure Time
3 Results and Discussion
3.1 Sentinel Microorganism
3.2 Risk Assessment
3.3 Biological Risk Level
3.4 Chi-Square Analysis
4 Conclusion
Acknowledgments
References
Special Session on Data Selection in Machine Learning
Novelty Detection Using Elliptical Fuzzy Clustering in a Reproducing Kernel Hilbert Space
Abstract
1 Introduction
2 Review of Existing Kernel-Based Methods for Novelty Detection
3 Proposed Approach
4 Experiments
5 Conclusions
Acknowledgements
References
Semi-supervised Learning to Reduce Data Needs of Indoor Positioning Models
1 Introduction
2 Reference Data
3 Semi-supervised Methods for Fingerprinting-Based IPS
4 Results
5 Conclusions
References
Different Approaches of Data and Attribute Selection on Headache Disorder
Abstract
1 Introduction
2 Primary Headache Classification
3 Primary Headache Clinical Features
4 Comparison Different Approaches of Attribute Selection
5 Conclusion and Future Work
References
A Study of Fuzzy Clustering to Archetypal Analysis
1 Introduction
2 Archetypal Analysis vs Fuzzy Clustering with Proportional Membership
3 Testing FCPM and FS-AA on Real Data
4 Cluster Structure Recovery Study
5 Outlier Analysis
6 Conclusions
References
Bare Bones Fireworks Algorithm for Medical Image Compression
1 Introduction
2 JPEG Compression Algorithm
3 Bare Bones Fireworks Algorithm for JPEG Algorithm Optimization
4 Simulation Results
5 Conclusion
References
EMnGA: Entropy Measure and Genetic Algorithms Based Method for Heterogeneous Ensembles Selection
Abstract
1 Introduction
2 Literature Review
3 The EMnGA Method
3.1 Entropy Measure
3.2 Genetic Algorithms
4 Experiments and Results
5 Conclusion and Future Work
References
Feature Selection and Interpretable Feature Transformation: A Preliminary Study on Feature Engineering for Classification Algorithms
Abstract
1 Introduction
2 Feature Engineering and Data Mining
3 Proposal
4 Experimentation
5 Results
6 Conclusions
Acknowledgment
References
Data Pre-processing to Apply Multiple Imputation Techniques: A Case Study on Real-World Census Data
1 Introduction
2 Related Work
3 Concepts of the Techniques and Data Sets Used
3.1 Data Set
4 Pre-processing to Generate a Complete Data Set
5 Pre-processing to Apply Multiple Imputation
5.1 Results
6 Conclusions and Future Work
References
Imbalanced Data Classification Based on Feature Selection Techniques
1 Introduction
2 Proposed Algorithm
2.1 Problem Formulation
2.2 Criterion
2.3 Algorithm Description
3 Experimental Study
3.1 Set-Up
3.2 Results
4 Conclusions and Future Directions
References
Special Session on New Models of Bio-inspired Computation for Massive Complex Environments
Design of Japanese Tree Frog Algorithm for Community Finding Problems
1 Introduction
2 Social Network Representation by Using Ego Networks
3 Japanese Tree Frog
4 Experimental Phase
5 Conclusions and Future Work
References
An Artificial Bee Colony Algorithm for Optimizing the Design of Sensor Networks
1 Introduction
2 Problem Formulation
3 Algorithm Description
4 Experimental Results
5 Conclusions
References
Community Detection in Weighted Directed Networks Using Nature-Inspired Heuristics
1 Introduction
2 Problem Statement
3 Proposed Nature-Inspired Solvers
4 Experimentation and Results
5 Conclusions and Future Research Lines
References
A Metaheuristic Approach for the -separator Problem
1 Introduction
2 Algorithmic Proposal
2.1 Constructive Method
2.2 Local Improvement
3 Computational Results
4 Conclusions
References
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Intelligent Data Engineering and Automated Learning - IDEAL 2018

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