Intelligent Data Engineering and Automated Learning IDEAL 2020: 21st Internati [Paperback]

This two-volume set of LNCS 12489 and 12490 constitutes the thoroughly refereed conference proceedings of the 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020, held in Guimaraes, Portugal, in November 2020.*

The 93 papers presented were carefully reviewed and selected from 134 submissions. These papers provided a timely sample of the latest advances in data engineering and machine learning, from methodologies, frameworks, and algorithms to applications. The core themes of IDEAL 2020 include big data challenges, machine learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspiredmodels, agents and hybrid intelligent systems, real-world applications of intelligent techniques and AI.

* The conference was held virtually due to the COVID-19 pandemic.

Special Session on Data Generation and Data Pre-processing in Machine Learning.- A Preprocessing Approach for Class-imbalanced Data using SMOTE and Belief Function Theory.- Multi-Agent Based Manifold Denoising.- A Novel Evaluation Metric for Synthetic Data Generation.- Data Pre-processing and Data Generation in the Student Flow Case Study.- Enhanced Credit Prediction using Artificial Data.- Data Generation Using Gene Expression Generator.- Stabilisation of Dataset Matrix Form for Classification Dataset Generation and Algorithm Selection.- Special Session on Optimization and Machine Learning for Industry 4.0.- Distributed Coordination of Heterogeneous Robotic Swarms using Stochastic Diffusion Search.- An Intelligent Procedure for the Methodology of Energy Consumption in Industrial Environments.- Unified Performance Measure for Binary Classification Problems.- Data Augmentation for Industrial Prognosis using Generative Adversarial Networks.- A Comparison of Evolutionary Multi-Objective Optimization Algorithms Applied to Antenna Design.- Specials#