Intelligent Data Engineering and Automated Learning – IDEAL 2018: 19th International Conference, Madrid, Spain, November 21–23, 2018, Proceedings, Part I

Description

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. Front Matter ....Pages I-XXVI Compound Local Binary Pattern and Enhanced Jaya Optimized Extreme Learning Machine for Digital Mammogram Classification (Figlu Mohanty, Suvendu Rup, Bodhisattva Dash)....Pages 1-8 Support Vector Machine Based Method for High Impedance Fault Diagnosis in Power Distribution Networks (K. Moloi, J. A. Jordaan, Y. Hamam)....Pages 9-16 Extended Min-Hash Focusing on Intersection Cardinality (Hisashi Koga, Satoshi Suzuki, Taiki Itabashi, Gibran Fuentes Pineda, Takahisa Toda)....Pages 17-26 Deep-Learning-Based Classification of Rat OCT Images After Intravitreal Injection of ET-1 for Glaucoma Understanding (Félix Fuentes-Hurtado, Sandra Morales, Jose M. Mossi, Valery Naranjo, Vadim Fedulov, David Woldbye et al.)....Pages 27-34 Finding the Importance of Facial Features in Social Trait Perception (Félix Fuentes-Hurtado, Jose Antonio Diego-Mas, Valery Naranjo, Mariano Alcañiz)....Pages 35-45 Effective Centralized Trust Management Model for Internet of Things (Hela Maddar, Wafa Kammoun, Habib Youssef)....Pages 46-57 Knowledge-Based Solution Construction for Evolutionary Minimization of Systemic Risk (Krzysztof Michalak)....Pages 58-68 Handwritten Character Recognition Using Active Semi-supervised Learning (Papangkorn Inkeaw, Jakramate Bootkrajang, Teresa Gonçalves, Jeerayut Chaijaruwanich)....Pages 69-78 Differential Evolution for Association Rule Mining Using Categorical and Numerical Attributes (Iztok Fister Jr., Andres Iglesias, Akemi Galvez, Javier Del Ser, Eneko Osaba, Iztok Fister)....Pages 79-88 Predicting Wind Energy Generation with Recurrent Neural Networks (Jaume Manero, Javier Béjar, Ulises Cortés)....Pages 89-98 Improved Architectural Redesign of MTree Clusterer in the Context of Image Segmentation (Marius Andrei Ciurez, Marian Cristian Mihaescu)....Pages 99-106 Exploring Online Novelty Detection Using First Story Detection Models (Fei Wang, Robert J. Ross, John D. Kelleher)....Pages 107-116 A Fast Metropolis-Hastings Method for Generating Random Correlation Matrices (Irene Córdoba, Gherardo Varando, Concha Bielza, Pedro Larrañaga)....Pages 117-124 Novel and Classic Metaheuristics for Tunning a Recommender System for Predicting Student Performance in Online Campus (Juan A. Gómez-Pulido, Enrique Cortés-Toro, Arturo Durán-Domínguez, Broderick Crawford, Ricardo Soto)....Pages 125-133 General Structure Preserving Network Embedding (Sinan Zhu, Caiyan Jia)....Pages 134-146 Intelligent Rub-Impact Fault Diagnosis Based on Genetic Algorithm-Based IMF Selection in Ensemble Empirical Mode Decomposition and Diverse Features Models (Manjurul Islam, Alexander Prosvirin, Jong-Myon Kim)....Pages 147-155 Anomaly Detection in Spatial Layer Models of Autonomous Agents (Marie Kiermeier, Sebastian Feld, Thomy Phan, Claudia Linnhoff-Popien)....Pages 156-163 Deep Learning-Based Approach for the Semantic Segmentation of Bright Retinal Damage (Cristiana Silva, Adrián Colomer, Valery Naranjo)....Pages 164-173 Comparison of Local Analysis Strategies for Exudate Detection in Fundus Images (Joana Pereira, Adrián Colomer, Valery Naranjo)....Pages 174-183 MapReduce Model for Random Forest Algorithm: Experimental Studies (Barbara Bobowska, Dariusz Jankowski)....Pages 184-194 Specifics Analysis of Medical Communities in Social Network Services (Artem Lobantsev, Aleksandra Vatian, Natalia Dobrenko, Andrei Stankevich, Anna Kaznacheeva, Vladimir Parfenov et al.)....Pages 195-203 PostProcessing in Constrained Role Mining (Carlo Blundo, Stelvio Cimato, Luisa Siniscalchi)....Pages 204-214 Linguistic Features to Identify Extreme Opinions: An Empirical Study (Sattam Almatarneh, Pablo Gamallo)....Pages 215-223 Retinal Image Synthesis for Glaucoma Assessment Using DCGAN and VAE Models (Andres Diaz-Pinto, Adrián Colomer, Valery Naranjo, Sandra Morales, Yanwu Xu, Alejandro F. Frangi)....Pages 224-232 Understanding Learner’s Drop-Out in MOOCs (Alya Itani, Laurent Brisson, Serge Garlatti)....Pages 233-244 Categorical Big Data Processing (Jaime Salvador-Meneses, Zoila Ruiz-Chavez, Jose Garcia-Rodriguez)....Pages 245-252 Spatial-Temporal K Nearest Neighbors Model on MapReduce for Traffic Flow Prediction (Anton Agafonov, Alexander Yumaganov)....Pages 253-260 Exploring the Perceived Usefulness and Attitude Towards Using Tesys e-Learning Platform (Paul-Stefan Popescu, Costel Ionascu, Marian Cristian Mihaescu)....Pages 261-268 An ELM Based Regression Model for ECG Artifact Minimization from Single Channel EEG (Chinmayee Dora, Pradyut Kumar Biswal)....Pages 269-276 Suggesting Cooking Recipes Through Simulation and Bayesian Optimization (Eduardo C. Garrido-Merchán, Alejandro Albarca-Molina)....Pages 277-284 Assessment and Adaption of Pattern Discovery Approaches for Time Series Under the Requirement of Time Warping (Fabian Kai-Dietrich Noering, Konstantin Jonas, Frank Klawonn)....Pages 285-296 Machine Learning Methods Based Preprocessing to Improve Categorical Data Classification (Zoila Ruiz-Chavez, Jaime Salvador-Meneses, Jose Garcia-Rodriguez)....Pages 297-304 Crossover Operator Using Knowledge Transfer for the Firefighter Problem (Krzysztof Michalak)....Pages 305-316 Exploring Coclustering for Serendipity Improvement in Content-Based Recommendation (Andrei Martins Silva, Fernando Henrique da Silva Costa, Alexandra Katiuska Ramos Diaz, Sarajane Marques Peres)....Pages 317-327 Weighted Voting and Meta-Learning for Combining Authorship Attribution Methods (Smiljana Petrovic, Ivan Petrovic, Ileana Palesi, Anthony Calise)....Pages 328-335 On Application of Learning to Rank for Assets Management: Warehouses Ranking (Worapol Alex Pongpech)....Pages 336-343 Single-Class Bankruptcy Prediction Based on the Data from Annual Reports (Peter Drotár, Peter Gnip, Martin Zoričak, Vladimír Gazda)....Pages 344-353 Multi-dimensional Bayesian Network Classifier Trees (Santiago Gil-Begue, Pedro Larrañaga, Concha Bielza)....Pages 354-363 Model Selection in Committees of Evolved Convolutional Neural Networks Using Genetic Algorithms (Alejandro Baldominos, Yago Saez, Pedro Isasi)....Pages 364-373 Chatbot Theory (Francisco S. Marcondes, José João Almeida, Paulo Novais)....Pages 374-384 An Adaptive Anomaly Detection Algorithm for Periodic Data Streams (Zirije Hasani, Boro Jakimovski, Goran Velinov, Margita Kon-Popovska)....Pages 385-397 Semantic WordRank: Generating Finer Single-Document Summarizations (Hao Zhang, Jie Wang)....Pages 398-409 Exploratory Study of the Effects of Cardiac Murmurs on Electrocardiographic-Signal-Based Biometric Systems (M. A. Becerra, C. Duque-Mejía, C. Zapata-Hernández, D. H. Peluffo-Ordóñez, L. Serna-Guarín, Edilson Delgado-Trejos et al.)....Pages 410-418 Improving the Decision Support in Diagnostic Systems Using Classifier Probability Calibration (Xiaowei Kortum, Lorenz Grigull, Urs Muecke, Werner Lechner, Frank Klawonn)....Pages 419-428 Applying Tree Ensemble to Detect Anomalies in Real-World Water Composition Dataset (Minh Nguyen, Doina Logofătu)....Pages 429-438 A First Approach to Face Dimensionality Reduction Through Denoising Autoencoders (Francisco J. Pulgar, Francisco Charte, Antonio J. Rivera, María J. del Jesus)....Pages 439-447 An Approximation to Deep Learning Touristic-Related Time Series Forecasting (Daniel Trujillo Viedma, Antonio Jesús Rivera Rivas, Francisco Charte Ojeda, María José del Jesus Díaz)....Pages 448-456 CCTV Image Sequence Generation and Modeling Method for Video Anomaly Detection Using Generative Adversarial Network (Wonsup Shin, Sung-Bae Cho)....Pages 457-467 Learning Optimal Q-Function Using Deep Boltzmann Machine for Reliable Trading of Cryptocurrency (Seok-Jun Bu, Sung-Bae Cho)....Pages 468-480 Predicting the Household Power Consumption Using CNN-LSTM Hybrid Networks (Tae-Young Kim, Sung-Bae Cho)....Pages 481-490 Thermal Prediction for Immersion Cooling Data Centers Based on Recurrent Neural Networks (Jaime Pérez, Sergio Pérez, José M. Moya, Patricia Arroba)....Pages 491-498 Detecting Intrusive Malware with a Hybrid Generative Deep Learning Model (Jin-Young Kim, Sung-Bae Cho)....Pages 499-507 Inferring Temporal Structure from Predictability in Bumblebee Learning Flight (Stefan Meyer, Olivier J. N. Bertrand, Martin Egelhaaf, Barbara Hammer)....Pages 508-519 Intelligent Wristbands for the Automatic Detection of Emotional States for the Elderly (Jaime A. Rincon, Angelo Costa, Paulo Novais, Vicente Julian, Carlos Carrascosa)....Pages 520-530 Applying Cost-Sensitive Classifiers with Reinforcement Learning to IDS (Roberto Blanco, Juan J. Cilla, Samira Briongos, Pedro Malagón, José M. Moya)....Pages 531-538 ATM Fraud Detection Using Outlier Detection (Roongtawan Laimek, Natsuda Kaothanthong, Thepchai Supnithi)....Pages 539-547 Machine Learning for Drugs Prescription (P. Silva, A. Rivolli, P. Rocha, F. Correia, C. Soares)....Pages 548-555 Intrusion Detection Using Transfer Learning in Machine Learning Classifiers Between Non-cloud and Cloud Datasets (Roja Ahmadi, Robert D. Macredie, Allan Tucker)....Pages 556-566 Concatenating or Averaging? Hybrid Sentences Representations for Sentiment Analysis (Carlotta Orsenigo, Carlo Vercellis, Claudia Volpetti)....Pages 567-575 ALoT: A Time-Series Similarity Measure Based on Alignment of Textures (Hasan Oğul)....Pages 576-585 Intelligent Agents in a Blockchain-Based Electronic Voting System (Michał Pawlak, Aneta Poniszewska-Marańda, Jakub Guziur)....Pages 586-593 Signal Reconstruction Using Evolvable Recurrent Neural Networks (Nadia Masood Khan, Gul Muhammad Khan)....Pages 594-602 A Cluster-Based Prototype Reduction for Online Classification (Kemilly Dearo Garcia, André C. P. L. F. de Carvalho, João Mendes-Moreira)....Pages 603-610 Reusable Big Data System for Industrial Data Mining - A Case Study on Anomaly Detection in Chemical Plants (Reuben Borrison, Benjamin Klöpper, Moncef Chioua, Marcel Dix, Barbara Sprick)....Pages 611-622 Unsupervised Domain Adaptation for Human Activity Recognition (Paulo Barbosa, Kemilly Dearo Garcia, João Mendes-Moreira, André C. P. L. F. de Carvalho)....Pages 623-630 Data Set Partitioning in Evolutionary Instance Selection (Mirosław Kordos, Łukasz Czepielik, Marcin Blachnik)....Pages 631-641 Identification of Individual Glandular Regions Using LCWT and Machine Learning Techniques (José Gabriel García, Adrián Colomer, Valery Naranjo, Francisco Peñaranda, M. Á. Sales)....Pages 642-650 Improving Time Series Prediction via Modification of Dynamic Weighted Majority in Ensemble Learning (Marek Lóderer, Peter Pavlík, Viera Rozinajová)....Pages 651-660 Generalized Low-Computational Cost Laplacian Eigenmaps (J. A. Salazar-Castro, D. F. Peña, C. Basante, C. Ortega, L. Cruz-Cruz, J. Revelo-Fuelagán et al.)....Pages 661-669 Optimally Selected Minimal Learning Machine (Átilla N. Maia, Madson L. D. Dias, João P. P. Gomes, Ajalmar R. da Rocha Neto)....Pages 670-678 Neural Collaborative Filtering: Hybrid Recommendation Algorithm with Content Information and Implicit Feedback (Li Ji, Guangyan Lin, Huobin Tan)....Pages 679-688 Overlap-Based Undersampling for Improving Imbalanced Data Classification (Pattaramon Vuttipittayamongkol, Eyad Elyan, Andrei Petrovski, Chrisina Jayne)....Pages 689-697 Predicting Online Review Scores Across Reviewer Categories (Michela Fazzolari, Marinella Petrocchi, Angelo Spognardi)....Pages 698-710 Improving SeNA-CNN by Automating Task Recognition (Abel Zacarias, Luís A. Alexandre)....Pages 711-721 Communication Skills Personal Trainer Based on Viola-Jones Object Detection Algorithm (Álvaro Pardo Pertierra, Ana B. Gil González, Javier Teira Lafuente, Ana de Luis Reboredo)....Pages 722-729 Optimizing Meta-heuristics for the Time-Dependent TSP Applied to Air Travels (Diogo Duque, José Aleixo Cruz, Henrique Lopes Cardoso, Eugénio Oliveira)....Pages 730-739 Compositional Stochastic Average Gradient for Machine Learning and Related Applications (Tsung-Yu Hsieh, Yasser EL-Manzalawy, Yiwei Sun, Vasant Honavar)....Pages 740-752 Instance-Based Stacked Generalization for Transfer Learning (Yassine Baghoussi, João Mendes-Moreira)....Pages 753-760 Combined Classifier Based on Quantized Subspace Class Distribution (Paweł Ksieniewicz)....Pages 761-772 A Framework for Form Applications that Use Machine Learning (Guilherme Aguiar, Patrícia Vilain)....Pages 773-782 CGLAD: Using GLAD in Crowdsourced Large Datasets (Enrique G. Rodrigo, Juan A. Aledo, Jose A. Gamez)....Pages 783-791 Extending Independent Component Analysis for Event Detection on Online Social Media (Hoang Long Nguyen, Jason J. Jung)....Pages 792-800 Framework for the Training of Deep Neural Networks in TensorFlow Using Metaheuristics (Julián Muñoz-Ordóñez, Carlos Cobos, Martha Mendoza, Enrique Herrera-Viedma, Francisco Herrera, Siham Tabik)....Pages 801-811 New Fuzzy Singleton Distance Measurement by Convolution (Rodrigo Naranjo, Matilde Santos)....Pages 812-820 Peak Alpha Based Neurofeedback Training Within Survival Shooter Game (Radu AbuRas, Gabriel Turcu, Ilkka Kosunen, Marian Cristian Mihaescu)....Pages 821-828 Taking e-Assessment Quizzes - A Case Study with an SVD Based Recommender System (Oana Maria Teodorescu, Paul Stefan Popescu, Marian Cristian Mihaescu)....Pages 829-837 Towards Complex Features: Competitive Receptive Fields in Unsupervised Deep Networks (Richard Hankins, Yao Peng, Hujun Yin)....Pages 838-848 Deep Neural Networks with Markov Random Field Models for Image Classification (Yao Peng, Menyu Liu, Hujun Yin)....Pages 849-859 Back Matter ....Pages 861-865