Intelligent Data Engineering and Automated Learning -- IDEAL 2013

1. Front Matter

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2. A Pruning Algorithm for Extreme Learning Machine

   • Li Ying, Li Fan-jun

   Pages 1-7

3. Measuring Stability and Discrimination Power of Metrics in Information Retrieval Evaluation

   • Huaji Shi, Yanzhi Tan, Xiaolong Zhu, Shengli Wu

   Pages 8-15

4. System for Monitoring and Optimization of Micro- and Nano-Machining Processes Using Intelligent Voice and Visual Communication

   • Dariusz Lipinski, Maciej Majewski

   Pages 16-23

5. Racing for Unbalanced Methods Selection

   • Andrea Dal Pozzolo, Olivier Caelen, Serge Waterschoot, Gianluca Bontempi

   Pages 24-31

6. Super-Resolution from One Single Low-Resolution Image Based on R-KSVD and Example-Based Algorithm

   • FangMei Fu, Jiong Jia, ZhongLong Zheng, Fan Yang, Li Guo, HaiXin Zhang et al.

   Pages 32-39

7. Bilateral Multi-issue Parallel Negotiation Model Based on Reinforcement Learning

   • Lihong Chen, Hongbin Dong, Qilong Han, Guangzhe Cui

   Pages 40-48

8. Learning to Detect the Subway Station Arrival for Mobile Users

   • Kuifei Yu, Hengshu Zhu, Huanhuan Cao, Baoxian Zhang, Enhong Chen, Jilei Tian et al.

   Pages 49-57

9. Vision Based Multi-pedestrian Tracking Using Adaptive Detection and Clustering

   • Zhibo Yang, Bo Yuan

   Pages 58-66

10. Drilling Cost Prediction Based on Self-adaptive Differential Evolution and Support Vector Regression

    • Huaxian Pan, Guojian Cheng, Jian Ding

    Pages 67-75

11. Web Service Evaluation Method Based on Time-aware Collaborative Filtering

    • Guisheng Yin, Xiaohui Cui, Hongbin Dong, Yuxin Dong

    Pages 76-84

12. An Improved PBIL Algorithm for Path Planning Problem of Mobile Robots

    • Qingbin Zhang, Manjun Cai, Fajun Zhou, Hairong Nie

    Pages 85-92

13. An Initialized ACO for the VRPTW

    • Wei Shi, Thomas Weise

    Pages 93-100

14. Deadline-Aware Event Scheduling for Complex Event Processing Systems

    • Na Li, Qiang Guan

    Pages 101-109

15. A Discrete Hybrid Bees Algorithm for Service Aggregation Optimal Selection in Cloud Manufacturing

    • Sisi Tian, Quan Liu, Wenjun Xu, Junwei Yan

    Pages 110-117

16. Continuous Motion Recognition Using Multiple Time Constant Recurrent Neural Network with a Deep Network Model

    • Zhibin Yu, Minho Lee

    Pages 118-125

17. An Extended Version of the LVA-Index

    • Piotr Lasek

    Pages 126-133

18. Anomaly Monitoring Framework Based on Intelligent Data Analysis

    • Prapa Rattadilok, Andrei Petrovski, Sergei Petrovski

    Pages 134-141

19. Customer Unification in E-Commerce

    • Marcin Gorawski, Aleksander Chrószcz, Anna Gorawska

    Pages 142-152

20. Network Management Based on Domain Partition for Mobile Agents

    • Yonghui Liu, Weidong Min

    Pages 153-160

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.

• ant colony optimization
• cloud computing
• genetic algorithms
• parallel computing
• semi-supervised learning
• algorithm analysis and problem complexity

• 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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