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Product details:
- ISBN 10: 3030034968
- ISBN 13: 9783030034962
- Author: Hujun Yin
This two-volume set LNCS 11314 and 11315 constitutes the thoroughly refereed conference proceedings of the 19th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2018, held in Madrid, Spain, in November 2018. The 125 full papers presented were carefully reviewed and selected from 204 submissions. These papers provided a timely sample of the latest advances in data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, deep learning neural networks, probabilistic modelling, particle swarm intelligence, big data analytics, and applications in image recognition, regression, classification, clustering, medical and biological modelling and prediction, text processing and social media analysis.
Table of contents:
- Workshop on RiskTrack: Analyzing Radicalization in Online Social Networks
- Ontology Uses for Radicalisation Detection on Social Networks
- Measuring Extremism: Validating an Alt-Right Twitter Accounts Dataset
- RiskTrack: Assessing the Risk of Jihadi Radicalization on Twitter Using Linguistic Factors
- On Detecting Online Radicalization Using Natural Language Processing
- Workshop on Methods for Interpretation of Industrial Event Logs
- Automated, Nomenclature Based Data Point Selection for Industrial Event Log Generation
- Monitoring Equipment Operation Through Model and Event Discovery
- Creation of an Event Log from a Low-Level Machinery Monitoring System for Process Mining Purposes
- Causal Rules Detection in Streams of Unlabeled, Mixed Type Values with Finit Domains
- On the Opportunities for Using Mobile Devices for Activity Monitoring and Understanding in Mining Applications
- A Taxonomy for Combining Activity Recognition and Process Discovery in Industrial Environments
- Mining Attributed Interaction Networks on Industrial Event Logs
- Special Session on Intelligent Techniques for the Analysis of Scientific Articles and Patents
- Evidence-Based Systematic Literature Reviews in the Cloud
- Bibliometric Network Analysis to Identify the Intellectual Structure and Evolution of the Big Data Research Field
- A New Approach for Implicit Citation Extraction
- Constructing Bibliometric Networks from Spanish Doctoral Theses
- Measuring the Impact of the International Relationships of the Andalusian Universities Using Dimensions Database
- Special Session on Machine Learning for Renewable Energy Applications
- Gaussian Process Kernels for Support Vector Regression in Wind Energy Prediction
- Studying the Effect of Measured Solar Power on Evolutionary Multi-objective Prediction Intervals
- Merging ELMs with Satellite Data and Clear-Sky Models for Effective Solar Radiation Estimation
- Distribution-Based Discretisation and Ordinal Classification Applied to Wave Height Prediction
- Wind Power Ramp Events Ordinal Prediction Using Minimum Complexity Echo State Networks
- Special Session on Evolutionary Computing Methods for Data Mining: Theory and Applications
- GELAB – A Matlab Toolbox for Grammatical Evolution
- Bat Algorithm Swarm Robotics Approach for Dual Non-cooperative Search with Self-centered Mode
- Hospital Admission and Risk Assessment Associated to Exposure of Fungal Bioaerosols at a Municipal Landfill Using Statistical Models
- Special Session on Data Selection in Machine Learning
- Novelty Detection Using Elliptical Fuzzy Clustering in a Reproducing Kernel Hilbert Space
- Semi-supervised Learning to Reduce Data Needs of Indoor Positioning Models
- Different Approaches of Data and Attribute Selection on Headache Disorder
- A Study of Fuzzy Clustering to Archetypal Analysis
- Bare Bones Fireworks Algorithm for Medical Image Compression
- EMnGA: Entropy Measure and Genetic Algorithms Based Method for Heterogeneous Ensembles Selection
- Feature Selection and Interpretable Feature Transformation: A Preliminary Study on Feature Engineering for Classification Algorithms
- Data Pre-processing to Apply Multiple Imputation Techniques: A Case Study on Real-World Census Data
- Imbalanced Data Classification Based on Feature Selection Techniques
- Special Session on New Models of Bio-inspired Computation for Massive Complex Environments
- Design of Japanese Tree Frog Algorithm for Community Finding Problems
- An Artificial Bee Colony Algorithm for Optimizing the Design of Sensor Networks
- Community Detection in Weighted Directed Networks Using Nature-Inspired He
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