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Neural Information Processing

24th International Conference, ICONIP 2017, Guangzhou, China, November 14–18, 2017, Proceedings, Part V

  • Conference proceedings
  • © 2017
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Editors:
  1. Derong Liu

    1. Guangdong University of Technology, Guangzhou, China

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  2. Shengli Xie

    1. Guangdong University of Technology, Guangzhou, China

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  3. Yuanqing Li

    1. South China University of Technology, Guangzhou, China

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  4. Dongbin Zhao

    1. Institute of Automation, Chinese Academy of Sciences, Beijing, China

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  5. El-Sayed M. El-Alfy

    1. King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10638)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: ICONIP 2017.

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Table of contents (94 papers)

  1. Data Mining

    1. Discovery of Interconnection Among Knowledge Areas of Standard Computer Science Curricula by a Data Science Approach

      • Yoshitatsu Matsuda, Takayuki Sekiya, Kazunori Yamaguchi
      Pages 186-195
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    2. A Probabilistic Model for the Cold-Start Problem in Rating Prediction Using Click Data

      • ThaiBinh Nguyen, Atsuhiro Takasu
      Pages 196-205
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    3. Dynamic Forest Model for Sentiment Classification

      • Mingming Li, Jiao Dai, Wei Liu, Jizhong Han
      Pages 206-215
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    4. A Multi-attention-Based Bidirectional Long Short-Term Memory Network for Relation Extraction

      • Lingfeng Li, Yuanping Nie, Weihong Han, Jiuming Huang
      Pages 216-227
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    5. Question Recommendation in Medical Community-Based Question Answering

      • Hong Cai, Cuiting Yan, Airu Yin, Xuesong Zhao
      Pages 228-236
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    6. A Visual Analysis of Changes to Weighted Self-Organizing Map Patterns

      • Younjin Chung, Joachim Gudmundsson, Masahiro Takatsuka
      Pages 237-246
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    7. Periodic Associated Sensor Patterns Mining from Wireless Sensor Networks

      • Md. Mamunur Rashid, Joarder Kamruzzaman, Iqbal Gondal, Rafiul Hassan
      Pages 247-255
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    8. Online Multi-label Passive Aggressive Active Learning Algorithm Based on Binary Relevance

      • Xizhi Guo, Yongwei Zhang, Jianhua Xu
      Pages 256-266
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    9. Predicting Taxi Passenger Demands Based on the Temporal and Spatial Information

      • Sang Ho Kang, Han Bin Bae, Rhee Man Kil, Hee Yong Youn
      Pages 267-274
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    10. Combining the Global and Local Estimation Models for Predicting PM\(_{10}\) Concentrations

      • Han Bin Bae, Tae Hyun Kim, Rhee Man Kil, Hee Yong Youn
      Pages 275-284
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    11. Anomaly Detection for Categorical Observations Using Latent Gaussian Process

      • Fengmao Lv, Guowu Yang, Jinzhao Wu, Chuan Liu, Yuhong Yang
      Pages 285-296
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    12. Make Users and Preferred Items Closer: Recommendation via Distance Metric Learning

      • Junliang Yu, Min Gao, Wenge Rong, Yuqi Song, Qianqi Fang, Qingyu Xiong
      Pages 297-305
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    13. Deep Bi-directional Long Short-Term Memory Model for Short-Term Traffic Flow Prediction

      • Jingyuan Wang, Fei Hu, Li Li
      Pages 306-316
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    14. Odor Change of Citrus Juice During Storage Based on Electronic Nose Technology

      • Xue Jiang, Pengfei Jia, Siqi Qiao, Shukai Duan
      Pages 317-326
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    15. A Tag-Based Integrated Diffusion Model for Personalized Location Recommendation

      • Yaolin Zheng, Yulong Wang, Lei Zhang, Jingyu Wang, Qi Qi
      Pages 327-337
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    16. Relationship Measurement Using Multiple Factors Extracted from Merged Meeting Events

      • Zeng Chen, Keren Wang, Zheng Yang
      Pages 338-347
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    17. Reinforcement Label Propagation Algorithm Based on History Record

      • Kai Liu, Yi Zhang, Kai Lu, Xiaoping Wang, Xin Wang
      Pages 348-356
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    18. A Hybrid Approach for Recovering Information Propagational Direction

      • Xiang-Rui Peng, Ling Huang, Chang-Dong Wang
      Pages 357-367
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    19. Geo-Pairwise Ranking Matrix Factorization Model for Point-of-Interest Recommendation

      • Shenglin Zhao, Irwin King, Michael R. Lyu
      Pages 368-377
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    20. A Method to Improve Accuracy of Velocity Prediction Using Markov Model

      • Ya-dan Liu, Liang Chu, Nan Xu, Yi-fan Jia, Zhe Xu
      Pages 378-386
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Other volumes

  1. Neural Information Processing

  2. Neural Information Processing

  3. Neural Information Processing

  4. Neural Information Processing

  5. Neural Information Processing

  6. Neural Information Processing

Keywords

About this book

The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637, LNCS 10638, and LNCS 10639 constitues the proceedings of the 24rd International Conference on Neural Information Processing, ICONIP 2017, held in Guangzhou, China, in November 2017. The 563  full papers presented were carefully reviewed and selected from 856 submissions. The 6 volumes are organized in topical sections on Machine Learning, Reinforcement Learning, Big Data Analysis, Deep Learning, Brain-Computer Interface, Computational Finance, Computer Vision, Neurodynamics, Sensory Perception and Decision Making, Computational Intelligence, Neural Data Analysis, Biomedical Engineering, Emotion and Bayesian Networks, Data Mining, Time-Series Analysis, Social Networks, Bioinformatics, Information Security and Social Cognition, Robotics and Control, Pattern Recognition, Neuromorphic Hardware and Speech Processing. 

Editors and Affiliations

  • Guangdong University of Technology, Guangzhou, China

    Derong Liu, Shengli Xie

  • South China University of Technology, Guangzhou, China

    Yuanqing Li

  • Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Dongbin Zhao

  • King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

    El-Sayed M. El-Alfy

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