LEADER 00948cam 22003013 450 001 9910287260503321 005 20240416150719.0 010 $a978-1-9034-3638-7 100 $a20181016d2017----kmuy0itay5050 ba 101 0 $aeng 102 $aGB 105 $aa 001by 200 1 $aKing Edward the third$f[William Shakespeare]$gedited by Richard Proudfoot and Nicola Bennett 210 $aLondon$cBloomsbury$d2017 215 $aXIX, 437 p.$cill.$d21 cm 225 1 $a<>Arden Shakespeare$h3. series 512 1 $aKing Edward III 700 1$aShakespeare,$bWilliam$f<1564-1616>$0132200 702 1$aProudfoot,$bRichard 702 1$aBennett,$bNicola$f<1952-....> 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a9910287260503321 952 $a822.33 SHAK Z(2)$bBibl.2017$fFLFBC 952 $a822.33 SKAK Z (2 bis)$b2024/1206$fFLFBC 959 $aFLFBC 996 $aKing Edward the third$91534962 997 $aUNINA LEADER 07510nam 22007215 450 001 9910495240703321 005 20251225180553.0 010 $a3-030-82153-6 024 7 $a10.1007/978-3-030-82153-1 035 $a(CKB)4100000011995621 035 $a(DE-He213)978-3-030-82153-1 035 $a(MiAaPQ)EBC6692987 035 $a(Au-PeEL)EBL6692987 035 $a(PPN)257350438 035 $a(EXLCZ)994100000011995621 100 $a20210721d2021 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aKnowledge Science, Engineering and Management $e14th International Conference, KSEM 2021, Tokyo, Japan, August 14?16, 2021, Proceedings, Part III /$fedited by Han Qiu, Cheng Zhang, Zongming Fei, Meikang Qiu, Sun-Yuan Kung 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (XV, 690 p. 247 illus., 177 illus. in color.) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v12817 311 08$a3-030-82152-8 327 $aKnowledge 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 Parkinson?s 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. 330 $aThis three-volume set constitutes the refereed proceedings of the 14th International Conference on Knowledge Science, Engineering and Management, KSEM 2021, held in Tokyo, Japan, in August 2021. The 164 revised full papers were carefully reviewed and selected from 492 submissions. The contributions are organized in the following topical sections: knowledge science with learning and AI; knowledge engineering research and applications; knowledge management with optimization and security. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v12817 606 $aArtificial intelligence 606 $aSocial sciences$xData processing 606 $aEducation$xData processing 606 $aDatabase management 606 $aComputer vision 606 $aComputer networks 606 $aArtificial Intelligence 606 $aComputer Application in Social and Behavioral Sciences 606 $aComputers and Education 606 $aDatabase Management 606 $aComputer Vision 606 $aComputer Communication Networks 615 0$aArtificial intelligence. 615 0$aSocial sciences$xData processing. 615 0$aEducation$xData processing. 615 0$aDatabase management. 615 0$aComputer vision. 615 0$aComputer networks. 615 14$aArtificial Intelligence. 615 24$aComputer Application in Social and Behavioral Sciences. 615 24$aComputers and Education. 615 24$aDatabase Management. 615 24$aComputer Vision. 615 24$aComputer Communication Networks. 676 $a006.3 702 $aQiu$b Han 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910495240703321 996 $aKnowledge Science, Engineering and Management$9772454 997 $aUNINA