Neural Information Processing

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

   2. A Probabilistic Model for the Cold-Start Problem in Rating Prediction Using Click Data

      • ThaiBinh Nguyen, Atsuhiro Takasu

      Pages 196-205

   3. Dynamic Forest Model for Sentiment Classification

      • Mingming Li, Jiao Dai, Wei Liu, Jizhong Han

      Pages 206-215

   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

   5. Question Recommendation in Medical Community-Based Question Answering

      • Hong Cai, Cuiting Yan, Airu Yin, Xuesong Zhao

      Pages 228-236

   6. A Visual Analysis of Changes to Weighted Self-Organizing Map Patterns

      • Younjin Chung, Joachim Gudmundsson, Masahiro Takatsuka

      Pages 237-246

   7. Periodic Associated Sensor Patterns Mining from Wireless Sensor Networks

      • Md. Mamunur Rashid, Joarder Kamruzzaman, Iqbal Gondal, Rafiul Hassan

      Pages 247-255

   8. Online Multi-label Passive Aggressive Active Learning Algorithm Based on Binary Relevance

      • Xizhi Guo, Yongwei Zhang, Jianhua Xu

      Pages 256-266

   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

   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

   11. Anomaly Detection for Categorical Observations Using Latent Gaussian Process

       • Fengmao Lv, Guowu Yang, Jinzhao Wu, Chuan Liu, Yuhong Yang

       Pages 285-296

   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

   13. Deep Bi-directional Long Short-Term Memory Model for Short-Term Traffic Flow Prediction

       • Jingyuan Wang, Fei Hu, Li Li

       Pages 306-316

   14. Odor Change of Citrus Juice During Storage Based on Electronic Nose Technology

       • Xue Jiang, Pengfei Jia, Siqi Qiao, Shukai Duan

       Pages 317-326

   15. A Tag-Based Integrated Diffusion Model for Personalized Location Recommendation

       • Yaolin Zheng, Yulong Wang, Lei Zhang, Jingyu Wang, Qi Qi

       Pages 327-337

   16. Relationship Measurement Using Multiple Factors Extracted from Merged Meeting Events

       • Zeng Chen, Keren Wang, Zheng Yang

       Pages 338-347

   17. Reinforcement Label Propagation Algorithm Based on History Record

       • Kai Liu, Yi Zhang, Kai Lu, Xiaoping Wang, Xin Wang

       Pages 348-356

   18. A Hybrid Approach for Recovering Information Propagational Direction

       • Xiang-Rui Peng, Ling Huang, Chang-Dong Wang

       Pages 357-367

   19. Geo-Pairwise Ranking Matrix Factorization Model for Point-of-Interest Recommendation

       • Shenglin Zhao, Irwin King, Michael R. Lyu

       Pages 368-377

   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

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. 

• Adaptive dynamic programming
• Artificial intelligence
• Biologically inspired computing
• Brain-computer interface
• Computational intelligence
• Computer vision
• Data mining
• Deep learning
• Machine learning
• Neural networks
• Neurodynamics
• Optimization and control
• Pattern recognition
• Reinforcement learning
• Robotics and control
• Time series analysis
• Artificial Intelligence
• machine learning
• neural networks
• social networks

• 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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