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Intelligent Data Engineering and Automated Learning -- IDEAL 2014

15th International Conference, Salamanca, Spain, September 10-12, 2014, Proceedings

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. Emilio Corchado

    1. University of Salamanca, Salamanca, Spain

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  2. José A. Lozano

    1. University of the Basque Country, San Sebastián, Spain

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  3. Héctor Quintián

    1. University of Salamanca, Salamanca, Spain

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  4. Hujun Yin

    1. The University of Manchester, Manchester, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8669)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Included in the following conference series:

Conference proceedings info: IDEAL 2014.

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Table of contents (60 papers)

  1. Front Matter

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  2. MLeNN: A First Approach to Heuristic Multilabel Undersampling

    • Francisco Charte, Antonio J. Rivera, María J. del Jesus, Francisco Herrera
    Pages 1-9

  3. Development of Eye-Blink Controlled Application for Physically Handicapped Children

    • Ippei Torii, Kaoruko Ohtani, Shunki Takami, Naohiro Ishii
    Pages 10-17

  4. Generation of Reducts Based on Nearest Neighbor Relation

    • Naohiro Ishii, Ippei Torii, Kazunori Iwata, Toyoshiro Nakashima
    Pages 18-26

  5. Automatic Content Related Feedback for MOOCs Based on Course Domain Ontology

    • Safwan Shatnawi, Mohamed Medhat Gaber, Mihaela Cocea
    Pages 27-35

  6. User Behavior Modeling in a Cellular Network Using Latent Dirichlet Allocation

    • Ritwik Giri, Heesook Choi, Kevin Soo Hoo, Bhaskar D. Rao
    Pages 36-44

  7. Sample Size Issues in the Choice between the Best Classifier and Fusion by Trainable Combiners

    • Sarunas Raudys, Giorgio Fumera, Aistis Raudys, Ignazio Pillai
    Pages 45-52

  8. On Interlinking Linked Data Sources by Using Ontology Matching Techniques and the Map-Reduce Framework

    • Ana I. Torre-Bastida, Esther Villar-Rodriguez, Javier Del Ser, David Camacho, Marta Gonzalez-Rodriguez
    Pages 53-60

  9. Managing Borderline and Noisy Examples in Imbalanced Classification by Combining SMOTE with Ensemble Filtering

    • José A. Sáez, Julián Luengo, Jerzy Stefanowski, Francisco Herrera
    Pages 61-68

  10. TweetSemMiner: A Meta-Topic Identification Model for Twitter Using Semantic Analysis

    • Héctor D. Menéndez, Carlos Delgado-Calle, David Camacho
    Pages 69-76

  11. Use of Empirical Mode Decomposition for Classification of MRCP Based Task Parameters

    • Ali Hassan, Hassan Akhtar, Muhammad Junaid Khan, Farhan Riaz, Faiza Hassan, Imran Niazi et al.
    Pages 77-84

  12. Diversified Random Forests Using Random Subspaces

    • Khaled Fawagreh, Mohamed Medhat Gaber, Eyad Elyan
    Pages 85-92

  13. Fast Frequent Pattern Detection Using Prime Numbers

    • Konstantinos F. Xylogiannopoulos, Omar Addam, Panagiotis Karampelas, Reda Alhajj
    Pages 93-101

  14. Multi-step Forecast Based on Modified Neural Gas Mixture Autoregressive Model

    • Yicun Ouyang, Hujun Yin
    Pages 102-109

  15. LBP and Machine Learning for Diabetic Retinopathy Detection

    • Jorge de la Calleja, Lourdes Tecuapetla, Ma. Auxilio Medina, Everardo Bárcenas, Argelia B. Urbina Nájera
    Pages 110-117

  16. Automatic Validation of Flowmeter Data in Transport Water Networks: Application to the ATLLc Water Network

    • Diego Garcia, Joseba Quevedo, Vicenç Puig, Jordi Saludes, Santiago Espin, Jaume Roquet et al.
    Pages 118-125

  17. Data Analysis for Detecting a Temporary Breath Inability Episode

    • María Luz Alonso, Silvia González, José Ramón Villar, Javier Sedano, Joaquín Terán, Estrella Ordax et al.
    Pages 126-133

  18. CPSO Applied in the Optimization of a Speech Recognition System

    • Amanda Abelardo, Washington Silva, Ginalber Serra
    Pages 134-141

  19. Object-Neighbourhood Clustering Ensemble Method

    • Tahani Alqurashi, Wenjia Wang
    Pages 142-149

  20. A Novel Recursive Kernel-Based Algorithm for Robust Pattern Classification

    • José Daniel A. Santos, César Lincoln C. Mattos, Guilherme A. Barreto
    Pages 150-157
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  1. Intelligent Data Engineering and Automated Learning – IDEAL 2014

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About this book

This book constitutes the refereed proceedings of the 15th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2014, held in Salamanca, Spain, in September 2014.
The 60 revised full papers presented were carefully reviewed and selected from about 120 submissions. These papers provided a valuable collection of recent research outcomes in data engineering and automated learning, from methodologies, frameworks, and techniques to applications. In addition the conference provided a good sample of current topics from methodologies, frameworks, and techniques to applications and case studies. The techniques include computational intelligence, big data analytics, social media techniques, multi-objective optimization, regression, classification, clustering, biological data processing, text processing, and image/video analysis.

Editors and Affiliations

  • University of Salamanca, Salamanca, Spain

    Emilio Corchado, Héctor Quintián

  • University of the Basque Country, San Sebastián, Spain

    José A. Lozano

  • The University of Manchester, Manchester, UK

    Hujun Yin

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