Intelligent Data Engineering and Automated Learning -- IDEAL 2014

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

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.

• Web application
• agent-based simulation
• ant colony optimization
• cloud computing
• combinatorial optimization
• data mining
• expert system
• genetic algorithms
• intrusion detection
• multi-agent simulation
• ontology matching
• parallel computing
• recommender systems
• robust pattern recognition
• semantic Web
• semi-supervised learning
• social networks
• user modeling
• algorithm analysis and problem complexity

• 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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