Neural Information Processing

1. Front Matter

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2. Cybersecurity and Data Mining Workshop

   1. Agent Personalized Call Center Traffic Prediction and Call Distribution

      • Rafiq A. Mohammed, Paul Pang

      Pages 1-10

   2. Mapping from Student Domain into Website Category

      • Xiaosong Li

      Pages 11-17

   3. Entropy Based Discriminators for P2P Teletraffic Characterization

      • Tao Ban, Shanqing Guo, Masashi Eto, Daisuke Inoue, Koji Nakao

      Pages 18-27

   4. Faster Log Analysis and Integration of Security Incidents Using Knuth-Bendix Completion

      • Ruo Ando, Shinsuke Miwa

      Pages 28-36

   5. Fast Protocol Recognition by Network Packet Inspection

      • Chuantong Chen, Fengyu Wang, Fengbo Lin, Shanqing Guo, Bin Gong

      Pages 37-44

   6. Network Flow Classification Based on the Rhythm of Packets

      • Liangxiong Li, Fengyu Wang, Tao Ban, Shanqing Guo, Bin Gong

      Pages 45-52

3. Data Mining and Knowledge Discovery

   1. Energy-Based Feature Selection and Its Ensemble Version

      • Yun Li, Su-Yan Gao

      Pages 53-62

   2. The Rough Set-Based Algorithm for Two Steps

      • Shu-Hsien Liao, Yin-Ju Chen, Shiu-Hwei Ho

      Pages 63-70

   3. An Infinite Mixture of Inverted Dirichlet Distributions

      • Taoufik Bdiri, Nizar Bouguila

      Pages 71-78

   4. Multi-Label Weighted k-Nearest Neighbor Classifier with Adaptive Weight Estimation

      • Jianhua Xu

      Pages 79-88

   5. Emotiono: An Ontology with Rule-Based Reasoning for Emotion Recognition

      • Xiaowei Zhang, Bin Hu, Philip Moore, Jing Chen, Lin Zhou

      Pages 89-98

   6. Parallel Rough Set: Dimensionality Reduction and Feature Discovery of Multi-Dimensional Data in Visualization

      • Tze-Haw Huang, Mao Lin Huang, Jesse S. Jin

      Pages 99-108

   7. Feature Extraction via Balanced Average Neighborhood Margin Maximization

      • Xiaoming Chen, Wanquan Liu, Jianhuang Lai, Ke Fan

      Pages 109-116

   8. The Relationship between the Newborn Rats’ Hypoxic-Ischemic Brain Damage and Heart Beat Interval Information

      • Xiaomin Jiang, Hiroki Tamura, Koichi Tanno, Li Yang, Hiroshi Sameshima, Tsuyomu Ikenoue

      Pages 117-124

   9. A Robust Approach for Multivariate Binary Vectors Clustering and Feature Selection

      • Mohamed Al Mashrgy, Nizar Bouguila, Khalid Daoudi

      Pages 125-132

   10. The Self-Organizing Map Tree (SOMT) for Nonlinear Data Causality Prediction

       • Younjin Chung, Masahiro Takatsuka

       Pages 133-142

   11. Document Classification on Relevance: A Study on Eye Gaze Patterns for Reading

       • Daniel Fahey, Tom Gedeon, Dingyun Zhu

       Pages 143-150

   12. Multi-Task Low-Rank Metric Learning Based on Common Subspace

       • Peipei Yang, Kaizhu Huang, Cheng-Lin Liu

       Pages 151-159

   13. Reservoir-Based Evolving Spiking Neural Network for Spatio-temporal Pattern Recognition

       • Stefan Schliebs, Haza Nuzly Abdull Hamed, Nikola Kasabov

       Pages 160-168

The three volume set LNCS 7062, LNCS 7063, and LNCS 7064 constitutes the proceedings of the 18th International Conference on Neural Information Processing, ICONIP 2011, held in Shanghai, China, in November 2011.
The 262 regular session papers presented were carefully reviewed and selected from numerous submissions.
The papers of part I are organized in topical sections on perception, emotion and development, bioinformatics, biologically inspired vision and recognition, bio-medical data analysis, brain signal processing, brain-computer interfaces, brain-like systems, brain-realistic models for learning, memory and embodied cognition, Clifford algebraic neural networks, combining multiple learners, computational advances in bioinformatics, and computational-intelligent human computer interaction.
The second volume is structured in topical sections on cybersecurity and data mining workshop, data mining and knowledge doscovery, evolutionary design and optimisation, graphical models, human-originated data analysis and implementation, information retrieval, integrating multiple nature-inspired approaches, Kernel methods and support vector machines, and learning and memory.
The third volume contains all the contributions connected with multi-agent systems, natural language processing and intelligent Web information processing, neural encoding and decoding, neural network models, neuromorphic hardware and implementations, object recognition, visual perception modelling, and advances in computational intelligence methods based pattern recognition.

• Web service
• neural simulation
• ontology learning
• probabilistic methods
• semantic web

• Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China

  Bao-Liang Lu, Liqing Zhang

• Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Kowloon, Hong Kong, China

  James Kwok

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