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E-raamat: Knowledge Science, Engineering and Management: 14th International Conference, KSEM 2021, Tokyo, Japan, August 14-16, 2021, Proceedings, Part III

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This three-volume set constitutes the refereed proceedings of the 14th International Conference on Knowledge Science, Engineering and Management, KSEM 2021, held in Tokyo, Japan, in August 2021.

The 164 revised full papers were carefully reviewed and selected from 492 submissions. The contributions are organized in the following topical sections: knowledge science with learning and AI; knowledge engineering research and applications; knowledge management with optimization and security.

Knowledge Management with Optimization and Security(KMOS).- An
Adversarial Training Method for Improving Model Robustness in Unsupervised
Domain Adaptation.- Context-Aware Anomaly Detection in Attributed Networks.-
An Efficient Hybrid Approach to Detecting and Correcting Auxiliary Word
Errors in Chinese Text.- Traffic Accident Prediction Methods Based on
Multi-factor Models.- Combining BERT and Multiple Embedding Methods with the
Deep.- Neural Network for Humor Detection.- An Efficient Link Prediction
Model in Dynamic Heterogeneous.- Information Networks Based on Multiple
Self-attention.- A Clustering-prediction Pipeline for Customer Churn
Analysis.- Fine-grained Unbalanced Interaction Network for Visual Question
Answering.- Swarm Intelligence-Based Feature Selection: An Improved Binary
Grey Wolf Optimization Method.- Integrating Real-time Entity Resolution with
Top-N Join Query Processing.- Incorporating Question Information to Enhance
the Performance of Automatic Short Answer Grading.- Integrating Task
Information into Few-Shot Classifier by Channel Attention.- Rumor
Verification on Social Media with Stance-Aware Recursive Tree.- Aspect and
Opinion Terms Co-Extraction using Position-Aware Attention and Auxiliary
Labels.- Beyond Laplacian Smoothing for Semi-Supervised Community Detection.-
Landscape-Enhanced Graph Attention Network for Rumor Detection.- An Overview
of Methods for Acquiring and Generating Decision Models.- Fine-Grained Image
Classification Based on Target Acquisition and Feature Fusion.- LogAttn:
Unsupervised Log Anomaly Detection with an AutoEncoder based Attention
Mechanism.- DNEA: Dynamic Network Embedding Method for Anomaly Detection.-
Adversarial Constraint Evaluation on Biomedical Text Mining.- Enhanced
Self-node Weights Based Graph Convolutional Networks for Passenger Flow
Prediction.- Interpretation of Learning-based Automatic Source Code
Vulnerability Detection Model Using LIME.- Efficient Depth Completion Network
based on Dynamic Gated Fusion.- A Blockchain Based Framework for Smart
Greenhouse Data Management.- Medication Combination Prediction via Attention
Neural Networks with Prior Medical Knowledge.- CelebHair: A New Large-Scale
Dataset for Hairstyle Recommendation based on CelebA.- Image super-resolution
based on residual block dense connection.- EGIM: Evolution Graph based
Interest Modeling for Click-Through Rate Prediction.- Visualizing the Finer
Cluster Structure of Large-Scale and High-Dimensional Data.- Learning
Resource Recommendation in E-learning Systems based on Online Learning
Style.- Alignment-Based Graph Network for Judicial Examination Task.-
Embedding-based Network Alignment Using Neural Tensor Networks.- Detecting
Parkinsons Disease according to Gender Using Speech Signals.- Theoretical
Study of Exponential Best-Fit: Modeling hCG for Gestational Trophoblastic
Disease.- Lane Keeping Algorithm for Autonomous Driving via
Safe Reinforcement Learning.- BS-KGS: Blockchain Sharding Empowered Knowledge
Graph Storage.- Faster Nonlocal UNet for Cell Segmentation in Microscopy
Images.- An Improved YOLO Algorithm for Object Detection in All Day
Scenarios.- EMRM: Enhanced Multi-source Review-based Model for Rating
Prediction.- Blockchain-as-a-Service Powered Knowledge Graph Construction.-
Finetuned YOLOv3 For Getting Four Times The Detection Speed.- A Systematic
Approach for maintainable business Process Models.- Improved Evolution
Algorithm that Guides the Direction of Individual Mutation for Influence
Maximization in Social Networks.- Incorporating Common Knowledge and Specific
Entity Linking Knowledge for Machine Reading Comprehension.- Readmission
Prediction with Knowledge Graph Attention and RNN-based Ordinary Differential
Equations.- Detecting SDCs in GPGPUs through an Efficient Instruction
Duplication Mechanism.- GAN-enabled Code Embedding for Reentrant
Vulnerabilities Detections.- Attention Based Short-Term Metro Passenger Flow
Prediction.- Thematic Analysis of Twitter as a Platform for Knowledge
Management.- Cross-chain-based Decentralized Identity for Mortgage Loans.-
Blockchain-based Privacy-preserving Medical Data Sharing Scheme Using
Federated Learning.- An Edge Trajectory Protection Approach Using
Blockchain.- Approach Based on Ontology and Machine Learning for Identifying
Causes Affecting Personality Disorder Disease on Twitter.- QBT: Efficient and
Flexible Resource Allocation Method for Data Center of State Grid Scenario.