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Intelligent Data Engineering and Automated Learning -- IDEAL 2013

14th International Conference, IDEAL 2013, Hefei, China, October 20-23, 2013, Proceedings

  • Conference proceedings
  • © 2013

Overview

Editors:
  1. Hujun Yin

    1. School of Electrical and Electronic Engineering, University of Manchester, UK

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  2. Ke Tang

    1. University of Science and Technology of China, Hefei, China

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  3. Yang Gao

    1. Nanjing University, Nanjing, China

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  4. Frank Klawonn

    1. Ostfalia University of Applied Sciences, Wolfenbüttel, Germany

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  5. Minho Lee

    1. Kyungpook National University, Buk-Gu, Korea

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  6. Thomas Weise

    1. Nature Inspired Computational and Applications Laboratory, School of Computer Science and Technology,, University of Science and Technology of China, Hefei, China

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  7. Bin Li

    1. University of Science and Technology of China, Hefei, China

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  8. Xin Yao

    1. CERCIA, School of Computer Science, University of Birmingham, Edgbaston, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8206)

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 2013.

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Table of contents (76 papers)

  1. Multi-objective Quantum Cultural Algorithm and Its Application in the Wireless Sensor Networks’ Energy-Efficient Coverage Optimization

    • Yi-nan Guo, Meirong Chen, Chun Wang
    Pages 161-167

  2. Image Super Resolution via Visual Prior Based Digital Image Characteristics

    • Yusheng Jia, Wanqi Yang, Yang Gao, Hujun Yin, Yinghuan Shi
    Pages 168-177

  3. Deep Learning on Natural Viewing Behaviors to Differentiate Children with Fetal Alcohol Spectrum Disorder

    • Po-He Tseng, Angelina Paolozza, Douglas P. Munoz, James N. Reynolds, Laurent Itti
    Pages 178-185

  4. Prevailing Trends Detection of Public Opinions Based on Tianya Forum

    • Lina N. Cao, Xijin J. Tang
    Pages 186-193

  5. Fast and Accurate Sentiment Classification Using an Enhanced Naive Bayes Model

    • Vivek Narayanan, Ishan Arora, Arjun Bhatia
    Pages 194-201

  6. A Scale-Free Based Memetic Algorithm for Resource-Constrained Project Scheduling Problems

    • Lixia Wang, Jing Liu
    Pages 202-209

  7. A Direction based Multi-Objective Agent Genetic Algorithm

    • Chen Zhu, Jing Liu
    Pages 210-217

  8. A Study of Representations for Resource Constrained Project Scheduling Problems Using Fitness Distance Correlation

    • Bingqi Cai, Jing Liu
    Pages 218-225

  9. Adapt a Text-Oriented Chunker for Oral Data: How Much Manual Effort Is Necessary?

    • Isabelle Tellier, Yoann Dupont, Iris Eshkol, Ilaine Wang
    Pages 226-233

  10. SVD Based Graph Regularized Matrix Factorization

    • Ephrime A. Vidar, Sweedy K. Alvindia
    Pages 234-241

  11. Clustering, Noise Reduction and Visualization Using Features Extracted from the Self-Organizing Map

    • Leonardo Enzo Brito da Silva, José Alfredo Ferreira Costa
    Pages 242-251

  12. Efficient Service Deployment by Image-Aware VM Allocation Strategy

    • Binbin Huang, Rongheng Lin, Kai Peng, Hua Zou, Fangchun Yang
    Pages 252-261

  13. Forecasting Financial Time Series Using a Hybrid Self-Organising Neural Model

    • Yicun Ouyang, Hujun Yin
    Pages 262-269

  14. A Novel Diversity Maintenance Scheme for Evolutionary Multi-objective Optimization

    • Sen Bong Gee, Xin Qiu, Kay Chen Tan
    Pages 270-277

  15. Adaptive Differential Evolution Fuzzy Clustering Algorithm with Spatial Information and Kernel Metric for Remote Sensing Imagery

    • Ailong Ma, Yanfei Zhong, Liangpei Zhang
    Pages 278-285

  16. Dynamic EM in Neologism Evolution

    • Martin Emms
    Pages 286-293

  17. Estimation of the Regularisation Parameter in Huber-MRF for Image Resolution Enhancement

    • Sakinah Ali Pitchay, Ata Kabán
    Pages 294-301

  18. Sparse Prototype Representation by Core Sets

    • Frank-Michael Schleif, Xibin Zhu, Barbara Hammer
    Pages 302-309

  19. Reconstruction of Wind Speed Based on Synoptic Pressure Values and Support Vector Regression

    • B. Saavedra-Moreno, S. Salcedo-Sanz, L. Carro-Calvo, A. Portilla-Figueras, J. Magdalena-Saiz
    Pages 310-317

  20. Direct Solar Radiation Prediction Based on Soft-Computing Algorithms Including Novel Predictive Atmospheric Variables

    • S. Salcedo-Sanz, C. Casanova-Mateo, A. Pastor-Sánchez, D. Gallo-Marazuela, A. Labajo-Salazar, A. Portilla-Figueras
    Pages 318-325
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  1. Intelligent Data Engineering and Automated Learning – IDEAL 2013

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About this book

This book constitutes the refereed proceedings of the 14th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2013, held in Hefei, China, in October 2013. The 76 revised full papers presented were carefully reviewed and selected from more than 130 submissions. These papers provided a valuable collection of latest 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 modelling, swarm intelligent, multi-objective optimisation, and practical applications in regression, classification, clustering, biological data processing, text processing, video analysis, including a number of special sessions on emerging topics such as adaptation and learning multi-agent systems, big data, swarm intelligence and data mining, and combining learning and optimisation in intelligent data engineering.

Editors and Affiliations

  • School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

  • University of Science and Technology of China, Hefei, China

    Ke Tang, Bin Li

  • Nanjing University, Nanjing, China

    Yang Gao

  • Ostfalia University of Applied Sciences, Wolfenbüttel, Germany

    Frank Klawonn

  • Kyungpook National University, Buk-Gu, Korea

    Minho Lee

  • Nature Inspired Computational and Applications Laboratory, School of Computer Science and Technology,, University of Science and Technology of China, Hefei, China

    Thomas Weise

  • CERCIA, School of Computer Science, University of Birmingham, Edgbaston, UK

    Xin Yao

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