Neural Information Processing, Part V

Book Description

Neural Information Processing: 24th International Conference, ICONIP 2017, Guangzhou, China, November 14–18, 2017, Proceedings, Part V (Lecture Notes in Computer Science)

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 , Reinforcement Learning, Big , Deep Learning, Brain-Computer Interface, Computational Finance, Computer Vision, Neurodynamics, Sensory Perception and Decision Making, Computational Intelligence, Neural , Biomedical Engineering, Emotion and Bayesian Networks, Data Mining, Time-Series Analysis, Social Networks, Bioinformatics, Information Security and Social Cognition, and Control, Pattern Recognition, Neuromorphic Hardware and Speech Processing.

Table of Contents

Part 1 Data Mining
Chapter 1. Low-Rank and Sparse Matrix Completion for Recommendation
Chapter 2. Pre-trained Extreme Learning Machine
Chapter 3. K-Hop Community Search Based on Local Distance Dynamics
Chapter 4. An Improved Feedback Wavelet Neural Network for Short-Term Passenger Entrance Flow Prediction in Shanghai Subway System
Chapter 5. Social and Content Based Collaborative Filtering for Point-of-Interest Recommendations
Chapter 6. Modeling Server Workloads for Campus Email Traffic Using Recurrent Neural Networks
Chapter 7. Multiclass Imbalanced Classification Using Fuzzy C-Mean and SMOTE with Fuzzy Support Vector Machine
Chapter 8. Incremental Matrix Reordering for Similarity-Based Dynamic Data Sets
Chapter 9. Power Consumption Prediction for Dynamic Adjustment in Hydrocracking Process Based on State Transition Algorithm and Support Vector Machine
Chapter 10. Learning with Partially Shared Features for Multi-Task Learning
Chapter 11. Power Users Behavior Analysis and Application Based on Large Data
Chapter 12. Accelerated Matrix Factorisation Method for Fuzzy Clustering
Chapter 13. Mining Mobile Phone Base Station Data Based on Clustering Algorithms with Application to Public Traffic Route Design
Chapter 14. Extracting Deep Semantic Information for Intelligent Recommendation
Chapter 15. A Method of Sine Cosine Algorithm and Differential Evolution for Feature Selection
Chapter 16. Feature Selection Based on Improved Runner-Root Algorithm Using Chaotic Singer Map and Opposition-Based Learning
Chapter 17. LWMC: A Locally Weighted Meta-Clustering Algorithm for Ensemble Clustering
Chapter 18. PUD: Social Spammer Detection Based on PU Learning
Chapter 19. Discovery of Interconnection Among Knowledge Areas of Standard Computer Science Curricula by a Data Science Approach
Chapter 20. A Probabilistic Model for the Cold-Start Problem in Rating Prediction Using Click Data
Chapter 21. Dynamic Forest Model for Sentiment Classification
Chapter 22. A Multi-attention-Based Bidirectional Long Short-Term Memory Network for Relation Extraction
Chapter 23. Question Recommendation in Medical Community-Based Question Answering
Chapter 24. A Visual Analysis of Changes to Weighted Self-Organizing Map Patterns
Chapter 25. Periodic Associated Sensor Patterns Mining from Wireless Sensor Networks
Chapter 26. Online Multi-label Passive Aggressive Active Learning Algorithm Based on Binary Relevance
Chapter 27. Predicting Taxi Passenger Demands Based on the Temporal and Spatial Information
Chapter 28. Combining the Global and Local Estimation Models for Predicting PM10 Concentrations
Chapter 29. Anomaly Detection for Categorical Observations Using Latent Gaussian Process
Chapter 30. Make Users and Preferred Items Closer: Recommendation via Distance Metric Learning
Chapter 31. Deep Bi-directional Long Short-Term Memory Model for Short-Term Traffic Flow Prediction
Chapter 32. Odor Change of Citrus Juice During Storage Based on Electronic Nose Technology
Chapter 33. A Tag-Based Integrated Diffusion Model for Personalized Location Recommendation
Chapter 34. Relationship Measurement Using Multiple Factors Extracted from Merged Meeting Events
Chapter 35. Reinforcement Label Propagation Algorithm Based on History Record
Chapter 36. A Hybrid Approach for Recovering Information Propagational Direction
Chapter 37. Geo-Pairwise Ranking Matrix Factorization Model for Point-of-Interest Recommendation
Chapter 38. A Method to Improve Accuracy of Velocity Prediction Using Markov Model
Chapter 39. Strength Analysis on Safety-Belt ISOFIX Anchorage for Vehicles Based on HyperWorks and Ls-Dyna
Chapter 40. Robust Adaptive Beamforming in Uniform Circular Array
Chapter 41. Evaluating Accuracy in Prudence Analysis for Cyber Security
Chapter 42. A Bayesian Posterior Updating Algorithm in Reinforcement Learning
Chapter 43. Detecting Black IP Using for Classification and Analysis Through Source IP of Daily Darknet Traffic
Chapter 44. A Linear Online Guided Policy Search Algorithm
Chapter 45. Detection of Botnet Activities Through the Lens of a Large-Scale Darknet

Part 2 Time Series Analysis
Chapter 46. An Altered Kernel Transformation for Time Series Classification
Chapter 47. An Interweaved Time Series Locally Connected Recurrent Neural Network Model on Crime Forecasting
Chapter 48. Decouple Adversarial Capacities with Dual-Reservoir Network
Chapter 49. Tree Factored Conditional Restricted Boltzmann Machines for Mixed Motion Style
Chapter 50. A Piecewise Hybrid of ARIMA and SVMs for Short-Term Traffic Flow Prediction
Chapter 51. TMRCP: A Trend-Matching Resources Coupled Prediction Method over Data Stream
Chapter 52. App Uninstalls Prediction: A Machine Learning and Time Series Mining Approach
Chapter 53. Time Series Forecasting Using GRU Neural Network with Multi-lag After Decomposition
Chapter 54. Position-Based Content Attention for Time Series Forecasting with Sequence-to-Sequence RNNs
Chapter 55. Deep Sequence-to-Sequence Neural Networks for Ionospheric Activity Map Prediction
Chapter 56. Spatio-Temporal Wind Power Prediction Using Recurrent Neural Networks
Chapter 57. Bayesian Neural Learning via Langevin Dynamics for Chaotic Time Series Prediction
Chapter 58. Causality Analysis Between Soil of Different Depth Moisture and Precipitation in the United States
Chapter 59. Fix-Budget and Recurrent Data Mining for Online Haptic Perception
Chapter 60. Arterial Coordination for Dedicated Bus Priority Based on a Spectral Clustering Algorithm
Chapter 61. Multi-resolution Selective Ensemble Extreme Learning Machine for Electricity Consumption Prediction
Chapter 62. Dow Jones Index is Driven Periodically by the Unemployment Rate During Economic Crisis and Non-economic Crisis Periods
Chapter 63. Dynamic Cyclone Wind-Intensity Prediction Using Co-Evolutionary Multi-task Learning

Part 3 Social Networks
Chapter 64. Layer-Prioritized Influence Maximization in Social Networks
Chapter 65. Design of Traffic Signal Controller Based on Network
Chapter 66. Motif Iteration Model for Network Representation
Chapter 67. Inferring User’s Interest Based on Convolutional Neural Network
Chapter 68. Enhanced Deep Learning Models for Sentiment Analysis in Arab Social Media
Chapter 69. Collective Actions in Three Types of Continuous Public Goods Games in Spatial Networks
Chapter 70. Analysing the Evolution of Contrary Opinions on a Controversial Network
Chapter 71. Category Prediction of Questions Posted in Community-Based Question Answering Services Using Deep Learning Methods
Chapter 72. LCE: A Location Category Embedding Model for Predicting the Category Labels of POIs
Chapter 73. Knowledge Graph Based Question Routing for Community Question Answering
Chapter 74. Exploiting Non-visible Relationship in Link Prediction Based on Asymmetric Local Random Walk
Chapter 75. Ciphertext Retrieval Technology of Homomorphic Encryption Based on Cloud Pretreatment
Chapter 76. A Linear Time Algorithm for Influence Maximization in Large-Scale Social Networks

Part 4 Bioinformatics, Information Security and Social Cognition
Chapter 77. Thyroid Nodule Classification Using Hierarchical Recurrent Neural Network with Multiple Ultrasound Reports
Chapter 78. Prediction of Stroke Using Deep Learning Model
Chapter 79. A Method of Integrating Spatial Proteomics and Protein-Protein Interaction Network Data
Chapter 80. Tuning Hyperparameters for Gene Interaction Models in Genome-Wide Association Studies
Chapter 81. Computational Efficacy of GPGPU-Accelerated Simulation for Various Neuron Models
Chapter 82. A Haptics Feedback Based-LSTM Predictive Model for Pericardiocentesis Therapy Using Public Introperative Data
Chapter 83. Sleep Apnea Event Detection from Nasal Airflow Using Convolutional Neural Networks
Chapter 84. A Deep Learning Method to Detect Web Attacks Using a Specially Designed CNN
Chapter 85. An Integrated Chaotic System with Application to Image Encryption
Chapter 86. Fast, Automatic and Scalable Learning to Detect Android Malware
Chapter 87. Intrusion Detection Using Convolutional Neural Networks for Representation Learning
Chapter 88. Detect Malicious Attacks from Entire TCP Communication Process
Chapter 89. Exploiting Cantor Expansion for Covert Channels over LTE-Advanced
Chapter 90. AI Web-Contents Analyzer for Monitoring Underground Marketplace
Chapter 91. Towards an Affective Computational Model for Machine Consciousness
Chapter 92. Measuring Self-monitoring Using Facebook Online Data Based on Snyder's Psychological Theories
Chapter 93. Coevolution of Cooperation and Complex Networks via Indirect Reciprocity

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