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  • Conference proceedings
  • © 2016

Intelligent Data Engineering and Automated Learning – IDEAL 2016

17th International Conference, Yangzhou, China, October 12–14, 2016, Proceedings

Conference proceedings info: IDEAL 2016.

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Table of contents (68 papers)

  1. Front Matter

    Pages I-XVI
  2. A Simplified Algorithm Based on IF Model

    • Xianfeng Liu, Yamin Zuo
    Pages 1-9
  3. Predict Two-Dimensional Protein Folding Based on Hydrophobic-Polar Lattice Model and Chaotic Clonal Genetic Algorithm

    • Shuihua Wang, Lenan Wu, Yuankai Huo, Xueyan Wu, Hainan Wang, Yudong Zhang
    Pages 10-17
  4. From Parzen Window Estimation to Feature Extraction: A New Perspective

    • Zhong-bao Liu, Jing Zhang, Wen-ai Song
    Pages 18-27
  5. An Efficient Sparse Optimization Method for Unfinished Magic Squares

    • Yali Liang, Xiaohua Xu, Zheng Liao, Ping He
    Pages 28-36
  6. Enhancing State Space Search for Planning by Monte-Carlo Random Walk Exploration

    • Qiang Lu, You Xu, Yixin Chen, Ruoyun Huang, Ling Chen
    Pages 37-45
  7. A Note on the k-NN Density Estimate

    • Jie Ding, Xinshan Zhu
    Pages 79-88
  8. Visualizing MOOC User Behaviors: A Case Study on XuetangX

    • Tiantian Zhang, Bo Yuan
    Pages 89-98
  9. Modified-DBSCAN Clustering for Identifying Traffic Accident Prone Locations

    • Chenlu Qiu, Huiying Xu, Yongqiang Bao
    Pages 99-105
  10. A Novel Link Prediction Algorithm Based on Spatial Mapping in PPI Network

    • Qiang-Mei Wu, Wei Liu, Hai-yan Hong, Ling Chen
    Pages 106-113
  11. Feature Selection in Click-Through Rate Prediction Based on Gradient Boosting

    • Zheng Wang, Qingsong Yu, Chaomin Shen, Wenxin Hu
    Pages 134-142
  12. A MapReduce-Based ELM for Regression in Big Data

    • B. Wu, T. H. Yan, X. S. Xu, B. He, W. H. Li
    Pages 164-173
  13. Very Deep Neural Network for Handwritten Digit Recognition

    • Yang Li, Hang Li, Yulong Xu, Jiabao Wang, Yafei Zhang
    Pages 174-182

Other Volumes

  1. Intelligent Data Engineering and Automated Learning – IDEAL 2016

About this book

This book constitutes the refereed proceedings of the 17 International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2016, held in Yangzhou, China, in October 2016.

The 68 full papers presented were carefully reviewed and selected from 115 submissions. They provide a valuable and timely sample of latest research outcomes in data engineering and automated learning ranging from methodologies, frameworks, and techniques to applications including various topics such as evolutionary algorithms; deep learning; neural networks; probabilistic modeling; particle swarm intelligence; big data analysis; applications in regression, classification, clustering, medical and biological modeling and predication; text processing and image analysis.

 

Editors and Affiliations

  • University of Manchester, Manchester, United Kingdom

    Hujun Yin

  • Nanjing University, Nanjing, China

    Yang Gao

  • Yangzhou University, Yangzhou, China

    Bin Li, Yun Li

  • Aeronautics and Astronautics, Nanjing University Aeronautics and Astronautics, Nanjing, China

    Daoqiang Zhang

  • Nanjing Normal University, Nanjing, China

    Ming Yang

  • Ostfalia University of Applied Sciences, Wolfenbüttel, Germany

    Frank Klawonn

  • University of Seville, Seville, Spain

    Antonio J. Tallón-Ballesteros

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access