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Hybrid Artificial Intelligent Systems

11th International Conference, HAIS 2016, Seville, Spain, April 18-20, 2016, Proceedings

  • Francisco Martínez-Álvarez
  • Alicia Troncoso
  • Héctor Quintián
  • Emilio Corchado
Conference proceedings HAIS 2016

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9648)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 9648)

Table of contents

  1. Front Matter
    Pages I-XIX
    PDF

  2. Data Mining and Knowledge Discovery

    1. Front Matter
      Pages 1-1
      PDF
    2. Screening a Case Base for Stroke Disease Detection
      José Neves, Nuno Gonçalves, Ruben Oliveira, Sabino Gomes, João Neves, Joaquim Macedo et al.
      Pages 3-13
    3. SemSynX: Flexible Similarity Analysis of XML Data via Semantic and Syntactic Heterogeneity/Homogeneity Detection
      Jesús M. Almendros-Jiménez, Alfredo Cuzzocrea
      Pages 14-26
    4. Towards Automatic Composition of Multicomponent Predictive Systems
      Manuel Martin Salvador, Marcin Budka, Bogdan Gabrys
      Pages 27-39
    5. LiCord: Language Independent Content Word Finder
      Md-Mizanur Rahoman, Tetsuya Nasukawa, Hiroshi Kanayama, Ryutaro Ichise
      Pages 40-52
    6. Mining Correlated High-Utility Itemsets Using the Bond Measure
      Philippe Fournier-Viger, Jerry Chun-Wei Lin, Tai Dinh, Hoai Bac Le
      Pages 53-65
    7. An HMM-Based Multi-view Co-training Framework for Single-View Text Corpora
      Eva Lorenzo Iglesias, Adrían Seara Vieira, Lourdes Borrajo Diz
      Pages 66-78
    8. Does Sentiment Analysis Help in Bayesian Spam Filtering?
      Enaitz Ezpeleta, Urko Zurutuza, José María Gómez Hidalgo
      Pages 79-90
    9. A Context-Aware Keyboard Generator for Smartphone Using Random Forest and Rule-Based System
      Sang-Muk Jo, Sung-Bae Cho
      Pages 91-101
    10. Privacy Preserving Data Mining for Deliberative Consultations
      Piotr Andruszkiewicz
      Pages 102-113
    11. Feature Selection Using Approximate Multivariate Markov Blankets
      Rafael Arias-Michel, Miguel García-Torres, Christian Schaerer, Federico Divina
      Pages 114-125
    12. Student Performance Prediction Applying Missing Data Imputation in Electrical Engineering Studies Degree
      Concepción Crespo-Turrado, José Luis Casteleiro-Roca, Fernando Sánchez-Lasheras, José Antonio López-Vázquez, Francisco Javier de Cos Juez, José Luis Calvo-Rolle et al.
      Pages 126-135
    13. Accuracy Increase on Evolving Product Unit Neural Networks via Feature Subset Selection
      Antonio J. Tallón-Ballesteros, José C. Riquelme, Roberto Ruiz
      Pages 136-148

  3. Time series

    1. Front Matter
      Pages 149-149
      PDF
    2. Rainfall Prediction: A Deep Learning Approach
      Emilcy Hernández, Victor Sanchez-Anguix, Vicente Julian, Javier Palanca, Néstor Duque
      Pages 151-162
    3. Time Series Representation by a Novel Hybrid Segmentation Algorithm
      Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez-Peña, Francisco José Martínez-Estudillo, César Hervás-Martínez
      Pages 163-173
    4. A Nearest Neighbours-Based Algorithm for Big Time Series Data Forecasting
      Ricardo L. Talavera-Llames, Rubén Pérez-Chacón, María Martínez-Ballesteros, Alicia Troncoso, Francisco Martínez-Álvarez
      Pages 174-185
    5. Active Learning Classifier for Streaming Data
      Michał Woźniak, Bogusław Cyganek, Andrzej Kasprzak, Paweł Ksieniewicz, Krzysztof Walkowiak
      Pages 186-197

  4. Bio-inspired Models and Evolutionary Computation

    1. Front Matter
      Pages 199-199
      PDF
    2. Application of Genetic Algorithms and Heuristic Techniques for the Identification and Classification of the Information Used by a Recipe Recommender
      Cristian Peñaranda, Soledad Valero, Vicente Julian, Javier Palanca
      Pages 201-212
    3. A New Visualization Tool in Many-Objective Optimization Problems
      Roozbeh Haghnazar Koochaksaraei, Rasul Enayatifar, Frederico Gadelha Guimarães
      Pages 213-224
    4. A Novel Adaptive Genetic Algorithm for Mobility Management in Cellular Networks
      Zakaria Abd El Moiz Dahi, Chaker Mezioud, Enrique Alba
      Pages 225-237
    5. Bio-Inspired Algorithms and Preferences for Multi-objective Problems
      Daniel Cinalli, Luis Martí, Nayat Sanchez-Pi, Ana Cristina Bicharra Garcia
      Pages 238-249
    6. Assessment of Multi-Objective Optimization Algorithms for Parametric Identification of a Li-Ion Battery Model
      Yuviny Echevarría, Luciano Sánchez, Cecilio Blanco
      Pages 250-260
    7. Comparing ACO Approaches in Epilepsy Seizures
      Paula Vergara, José R. Villar, Enrique de la Cal, Manuel Menéndez, Javier Sedano
      Pages 261-272
    8. Estimating the Maximum Power Delivered by Concentrating Photovoltaics Technology Through Atmospheric Conditions Using a Differential Evolution Approach
      Cristobal J. Carmona, F. Pulgar, Antonio Jesús Rivera-Rivas, Maria Jose del Jesus, J. Aguilera
      Pages 273-282
    9. A Hybrid Bio-inspired ELECTRE Approach for Decision Making in Purchasing Agricultural Equipment
      Dragan Simić, Jovana Gajić, Vladimir Ilin, Vasa Svirčević, Svetlana Simić
      Pages 283-295

  5. Learning Algorithms

    1. Front Matter
      Pages 297-297
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    2. Evaluating the Difficulty of Instances of the Travelling Salesman Problem in the Nearby of the Optimal Solution Based on Random Walk Exploration
      Miguel Cárdenas-Montes
      Pages 299-310
    3. A Nearest Hyperrectangle Monotonic Learning Method
      Javier García, José-Ramón Cano, Salvador García
      Pages 311-322
    4. Knowledge Modeling by ELM in RL for SRHT Problem
      Jose Manuel Lopez-Guede, Asier Garmendia, Manuel Graña
      Pages 323-331
    5. Can Metalearning Be Applied to Transfer on Heterogeneous Datasets?
      Catarina Félix, Carlos Soares, Alípio Jorge
      Pages 332-343
    6. Smart Sketchpad: Using Machine Learning to Provide Contextually Relevant Examples to Artists
      Michael Fischer, Monica Lam
      Pages 344-352
    7. An Analysis of the Hardness of Novel TSP Iberian Instances
      Gloria Cerasela Crişan, Camelia-M. Pintea, Petrică Pop, Oliviu Matei
      Pages 353-364
    8. A Data Structure to Speed-Up Machine Learning Algorithms on Massive Datasets
      Francisco Padillo, J. M. Luna, Alberto Cano, Sebastián Ventura
      Pages 365-376
    9. A Sensory Control System for Adjusting Group Emotion Using Bayesian Networks and Reinforcement Learning
      Jun-Ho Kim, Ki-Hoon Kim, Sung-Bae Cho
      Pages 377-388

  6. Video and Image

    1. Front Matter
      Pages 389-389
      PDF
    2. Identification of Plant Textures in Agricultural Images by Principal Component Analysis
      Martín Montalvo, María Guijarro, José Miguel Guerrero, Ángela Ribeiro
      Pages 391-401
    3. Automatic Image-Based Method for Quantitative Analysis of Photosynthetic Cell Cultures
      Alzbeta Vlachynska, Jan Cerveny, Vratislav Cmiel, Tomas Turecek
      Pages 402-413
    4. Fall Detection Using Body-Worn Accelerometer and Depth Maps Acquired by Active Camera
      Michal Kepski, Bogdan Kwolek
      Pages 414-426
    5. Classification of Melanoma Presence and Thickness Based on Computational Image Analysis
      Javier Sánchez-Monedero, Aurora Sáez, María Pérez-Ortiz, Pedro Antonio Gutiérrez, Cesar Hervás-Martínez
      Pages 427-438

  7. Classification and Cluster Analysis

    1. Front Matter
      Pages 439-439
      PDF
    2. Solution to Data Imbalance Problem in Application Layer Anomaly Detection Systems
      Rafał Kozik, Michał Choraś
      Pages 441-450
    3. Ordinal Evolutionary Artificial Neural Networks for Solving an Imbalanced Liver Transplantation Problem
      Manuel Dorado-Moreno, María Pérez-Ortiz, María Dolores Ayllón-Terán, Pedro Antonio Gutiérrez, Cesar Hervás-Martínez
      Pages 451-462
    4. A Fuzzy-Based Approach for the Multilevel Component Selection Problem
      Andreea Vescan, Camelia Şerban
      Pages 463-474
    5. A Clustering-Based Method for Team Formation in Learning Environments
      Marta Guijarro-Mata-García, Maria Guijarro, Rubén Fuentes-Fernández
      Pages 475-486
    6. R Ultimate Multilabel Dataset Repository
      Francisco Charte, David Charte, Antonio Rivera, María José del Jesus, Francisco Herrera
      Pages 487-499
    7. On the Impact of Dataset Complexity and Sampling Strategy in Multilabel Classifiers Performance
      Francisco Charte, Antonio Rivera, María José del Jesus, Francisco Herrera
      Pages 500-511
    8. Managing Monotonicity in Classification by a Pruned AdaBoost
      Sergio González, Francisco Herrera, Salvador García
      Pages 512-523

About these proceedings

Introduction

This volume constitutes the refereed proceedings of the 11th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2016, held in Seville, Spain, in April 2016.

The 63 full papers published in this volume were carefully reviewed and selected from 150 submissions. They are organized in topical sections on data mining and knowledge discovery; time series; bio-inspired models and evolutionary computation; learning algorithms; video and image; classification and cluster analysis; applications; bioinformatics; and hybrid intelligent systems for data mining and applications.

Keywords

complex systems data mining decision support systems distributed systems evolutionary computation applications case base reasoning chance discovery cognitive systems computer vision ensemble techniques hard computing human interface hybrid intelligent systems intelligent agent-based systems internet modelling reactive systems soft computing visualization techniques Web application security

Editors and affiliations

  • Francisco Martínez-Álvarez
    • 1
  • Alicia Troncoso
    • 2
  • Héctor Quintián
    • 3
  • Emilio Corchado
    • 4
  1. 1.Universidad Pablo de OlavideSevillaSpain
  2. 2.Universidad Pablo de OlavideSevillaSpain
  3. 3.University of SalamancaSalamancaSpain
  4. 4.University of SalamancaSalamancaSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-32034-2
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-32033-5
  • Online ISBN 978-3-319-32034-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site