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Hybrid Artificial Intelligent Systems

14th International Conference, HAIS 2019, León, Spain, September 4–6, 2019, Proceedings

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Hilde Pérez García

    1. University of León, León, Spain

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  2. Lidia Sánchez González

    1. University of León, León, Spain

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  3. Manuel Castejón Limas

    1. University of León, León, Spain

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  4. Héctor Quintián Pardo

    1. University of A Coruña, Ferrol, Spain

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  5. Emilio Corchado Rodríguez

    1. University of Salamanca, Salamanca, Spain

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11734)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: HAIS 2019.

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Table of contents (64 papers)

  1. Front Matter

    Pages i-xvii
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  2. Data Mining, Knowledge Discovery and Big Data

    1. Front Matter

      Pages 1-1
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    2. Testing Modified Confusion Entropy as Split Criterion for Decision Trees

      • J. David Nuñez-Gonzalez, Alexander Gonzalo de Sá, Manuel Graña
      Pages 3-13

    3. Generating a Question Answering System from Text Causal Relations

      • E. C. Garrido Merchán, C. Puente, J. A. Olivas
      Pages 14-25

    4. Creation of a Distributed NoSQL Database with Distributed Hash Tables

      • Agustín San Román Guzmán, Diego Valdeolmillos, Alberto Rivas, Angélica González Arrieta, Pablo Chamoso
      Pages 26-37

    5. Study of Data Pre-processing for Short-Term Prediction of Heat Exchanger Behaviour Using Time Series

      • Bruno Baruque, Esteban Jove, Santiago Porras, José Luis Calvo-Rolle
      Pages 38-49

    6. Can Automated Smoothing Significantly Improve Benchmark Time Series Classification Algorithms?

      • James Large, Paul Southam, Anthony Bagnall
      Pages 50-60

    7. Dataset Weighting via Intrinsic Data Characteristics for Pairwise Statistical Comparisons in Classification

      • José A. Sáez, Pablo Villacorta, Emilio Corchado
      Pages 61-72

    8. Mining Network Motif Discovery by Learning Techniques

      • Bogdan-Eduard-Mădălin Mursa, Anca Andreica, Laura Dioşan
      Pages 73-84

    9. Deep Structured Semantic Model for Recommendations in E-commerce

      • Anna Larionova, Polina Kazakova, Nikita Nikitinsky
      Pages 85-96

  3. Bio-inspired Models and Evolutionary Computation

    1. Front Matter

      Pages 97-97
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    2. Improving Comparative Radiography by Multi-resolution 3D-2D Evolutionary Image Registration

      • Oscar Gómez, Oscar Ibáñez, Andrea Valsecchi, Oscar Cordón
      Pages 99-110

    3. Evolutionary Algorithm for Pathways Detection in GWAS Studies

      • Fidel Díez Díaz, Fernando Sánchez Lasheras, Francisco Javier de Cos Juez, Vicente Martín Sánchez
      Pages 111-122

    4. Particle Swarm Optimization-Based CNN-LSTM Networks for Anomalous Query Access Control in RBAC-Administered Model

      • Tae-Young Kim, Sung-Bae Cho
      Pages 123-132

    5. d(Tree)-by-dx: Automatic and Exact Differentiation of Genetic Programming Trees

      • Peter Rockett, Yuri Kaszubowski Lopes, Tiantian Dou, Elizabeth A. Hathway
      Pages 133-144

    6. Genetic Algorithm-Based Deep Learning Ensemble for Detecting Database Intrusion via Insider Attack

      • Seok-Jun Bu, Sung-Bae Cho
      Pages 145-156

    7. An Efficient Hybrid Genetic Algorithm for Solving a Particular Two-Stage Fixed-Charge Transportation Problem

      • Ovidiu Cosma, Petrica C. Pop, Cosmin Sabo
      Pages 157-167

    8. Analysis of MOEA/D Approaches for Inferring Ancestral Relationships

      • Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Leonel Sousa
      Pages 168-180

    9. Parsimonious Modeling for Estimating Hospital Cooling Demand to Reduce Maintenance Costs and Power Consumption

      • Eduardo Dulce, Francisco Javier Martinez-de-Pison
      Pages 181-192

    10. Haploid Versus Diploid Genetic Algorithms. A Comparative Study

      • Adrian Petrovan, Petrica Pop-Sitar, Oliviu Matei
      Pages 193-205
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About this book

This volume constitutes the refereed proceedings of the 14th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2019, held in León, Spain, in September 2019.
The 64 full papers published in this volume were carefully reviewed and selected from 134 submissions. They are organized in the following topical sections: data mining, knowledge discovery and big data; bio-inspired models and evolutionary computation; learning algorithms; visual analysis and advanced data processing techniques; data mining applications; and hybrid intelligent applications.

Editors and Affiliations

  • University of León, León, Spain

    Hilde Pérez García, Lidia Sánchez González, Manuel Castejón Limas

  • University of A Coruña, Ferrol, Spain

    Héctor Quintián Pardo

  • University of Salamanca, Salamanca, Spain

    Emilio Corchado Rodríguez

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