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Intelligent Data Engineering and Automated Learning – IDEAL 2015

16th International Conference, Wroclaw, Poland, October 14-16, 2015, Proceedings

  • Conference proceedings
  • © 2015

Overview

Editors:
  1. Konrad Jackowski

    1. Wroclaw University of Technology, Wroclaw, Poland

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  2. Robert Burduk

    1. Department of Systems, Wroclaw University of Technology, Wroclaw, Poland

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  3. Krzysztof Walkowiak

    1. Wroclaw Univ of Tech, Wroclaw, Poland

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  4. Michal Wozniak

    1. Wroclaw University of Technology, Faculty of Electronics, Wroclaw, Poland

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  5. Hujun Yin

    1. School of Electrical & Electronic E, University of Manchester, Manchester, United Kingdom

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9375)

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 2015.

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Table of contents (64 papers)

  1. Front Matter

    Pages I-XX
    Download chapter PDF

  2. Data Streams Fusion by Frequent Correlations Mining

    • Radosław Z. Ziembiński
    Pages 1-8

  3. Web Genre Classification via Hierarchical Multi-label Classification

    • Gjorgji Madjarov, Vedrana Vidulin, Ivica Dimitrovski, Dragi Kocev
    Pages 9-17

  4. Multi-agent Reinforcement Learning for Control Systems: Challenges and Proposals

    • Manuel Graña, Borja Fernandez-Gauna
    Pages 18-25

  5. Optimal Filtering for Time Series Classification

    • Frank Höppner
    Pages 26-35

  6. Addressing Overlapping in Classification with Imbalanced Datasets: A First Multi-objective Approach for Feature and Instance Selection

    • Alberto Fernández, Maria Jose del Jesus, Francisco Herrera
    Pages 36-44

  7. Cost-Sensitive Neural Network with ROC-Based Moving Threshold for Imbalanced Classification

    • Bartosz Krawczyk, Michał Woźniak
    Pages 45-52

  8. Managing Monotonicity in Classification by a Pruned Random Forest

    • Sergio González, Francisco Herrera, Salvador García
    Pages 53-60

  9. Ensemble Selection Based on Discriminant Functions in Binary Classification Task

    • Paulina Baczyńska, Robert Burduk
    Pages 61-68

  10. An Extension of Multi-label Binary Relevance Models Based on Randomized Reference Classifier and Local Fuzzy Confusion Matrix

    • Pawel Trajdos, Marek Kurzynski
    Pages 69-76

  11. Fusion of Self-Organizing Maps with Different Sizes

    • Leandro Antonio Pasa, José Alfredo F. Costa, Marcial Guerra de Medeiros
    Pages 77-86

  12. A Particle Swarm Clustering Algorithm with Fuzzy Weighted Step Sizes

    • Alexandre Szabo, Myriam Regattieri Delgado, Leandro Nunes de Castro
    Pages 87-95

  13. A Bacterial Colony Algorithm for Association Rule Mining

    • Danilo Souza da Cunha, Rafael Silveira Xavier, Leandro Nunes de Castro
    Pages 96-103

  14. Information Retrieval and Data Forecasting via Probabilistic Nodes Combination

    • Dariusz Jacek Jakóbczak
    Pages 104-112

  15. EVIDIST: A Similarity Measure for Uncertain Data Streams

    • Abdelwaheb Ferchichi, Mohamed Salah Gouider, Lamjed Ben Said
    Pages 113-120

  16. Knowledge Discovery in Enterprise Databases for Forecasting New Product Success

    • Marcin Relich, Krzysztof Bzdyra
    Pages 121-129

  17. Effective Realizations of Biorthogonal Wavelet Transforms of Lengths \(2K + 1\)/\(2K - 1\) with Lattice Structures on GPU and CPU

    • Dariusz Puchala, Bartomiej Szczepaniak, Mykhaylo Yatsymirskyy
    Pages 130-137

  18. Deterministic Extraction of Compact Sets of Rules for Subgroup Discovery

    • Juan L. Domínguez-Olmedo, Jacinto Mata Vázquez, Victoria Pachón
    Pages 138-145

  19. Variable Transformation for Granularity Change in Hierarchical Databases in Actual Data Mining Solutions

    • Paulo J. L. Adeodato
    Pages 146-155

  20. OMAIDS: A Multi-agents Intrusion Detection System Based Ontology

    • Imen Brahmi, Hanen Brahmi
    Pages 156-163
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  1. Intelligent Data Engineering and Automated Learning – IDEAL 2015

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About this book

This book constitutes the refereed proceedings of the 16th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2015, held in Wroclaw, Poland, in October 2015.

The 64 revised full papers presented were carefully reviewed and selected from 127 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 to various topics such as evolutionary algorithms, neural networks, probabilistic modeling, swarm intelligent, multi-objective optimization, and practical applications in regression, classification, clustering, biological data processing, text processing, video analysis, IDEAL 2015 also featured a number of special sessions on several emerging topics such as computational intelligence for optimization of communication networks, discovering knowledge fromdata, simulation-driven DES-like modeling and performance evaluation, and intelligent applications in real-world problems.

Editors and Affiliations

  • Wroclaw University of Technology, Wroclaw, Poland

    Konrad Jackowski

  • Department of Systems, Wroclaw University of Technology, Wroclaw, Poland

    Robert Burduk

  • Wroclaw Univ of Tech, Wroclaw, Poland

    Krzysztof Walkowiak

  • Wroclaw University of Technology, Faculty of Electronics, Wroclaw, Poland

    Michal Wozniak

  • School of Electrical & Electronic E, University of Manchester, Manchester, United Kingdom

    Hujun Yin

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