# Neural Information Processing, Part V

- Length: 930 pages
- Edition: 1st ed. 2017
- Language: English
- Publisher: Springer
- Publication Date: 2017-12-03
- ISBN-10: 331970138X
- ISBN-13: 9783319701387

**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 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.

### 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 Hybrid 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 Social Network 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 Event

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