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Autor Kung, Sun-Yuan |
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Crear una solicitud de compra Refinar búsquedaKnowledge Science, Engineering and Management / Qiu, Han ; Zhang, Cheng ; Fei, Zongming ; Qiu, Meikang ; Kung, Sun-Yuan
TÃtulo : Knowledge Science, Engineering and Management : 14th International Conference, KSEM 2021, Tokyo, Japan, August 14–16, 2021, Proceedings, Part I / Tipo de documento: documento electrónico Autores: Qiu, Han, ; Zhang, Cheng, ; Fei, Zongming, ; Qiu, Meikang, ; Kung, Sun-Yuan, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XXVII, 710 p. 220 ilustraciones, 189 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-82136-4 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Inteligencia artificial Software de la aplicacion Ciencias sociales Red de computadoras Algoritmos Aplicaciones informáticas y de sistemas de información Aplicación informática en ciencias sociales y del comportamiento. Computadoras y Educación Redes de comunicación informática Diseño y Análisis de Algoritmos Clasificación: 006.3 Resumen: Este conjunto de tres volúmenes constituye las actas arbitradas de la 14.ª Conferencia Internacional sobre Ciencia, IngenierÃa y Gestión del Conocimiento, KSEM 2021, celebrada en Tokio, Japón, en agosto de 2021. Los 164 artÃculos completos revisados ​​fueron cuidadosamente revisados ​​y seleccionados entre 492 presentaciones. Las contribuciones se organizan en las siguientes secciones temáticas: ciencia del conocimiento con aprendizaje e IA; investigación y aplicaciones de ingenierÃa del conocimiento; Gestión del conocimiento con optimización y seguridad. Nota de contenido: Knowledge Science with Learning and AI (KSLA) -- Research on Innovation Trends of AI Applied to Medical Instruments Using Informetrics Based on Multi-Sourse Information -- Extracting Prerequisite Relations among Wikipedia Concepts using the Clickstream Data -- Clustering Massive-categories and Complex Documents via Graph Convolutional Network -- Structure-enhanced Graph Representation Learning for Link Prediction in Signed Networks -- A Property-based Method for Acquiring Commonsense Knowledge -- Multi-hop Learning promote Cooperation in Multi-agent Systems -- FedPS: Model Aggregation with Pseudo Samples -- Dense Incremental Extreme Learning Machine with Accelerating -- Amount and Proportional Integral Differential -- Knowledge-based Diverse Feature Transformation For Few-shot Relation Classification -- Community Detection In Dynamic Networks: A Novel Deep Learning Method -- Additive Noise Model Structure Learning Based on Rank Statistics -- A MOOCs Recommender System Based onUser's Knowledge Background -- TEBC-Net: An effective relation extraction approach for simple question answering over knowledge graphs -- Representing Knowledge Graphs with Gaussian Mixture Embedding -- A Semi-supervised Multi-objective Evolutionary Algorithm for Multi-layer Network Community Detection -- Named Entity Recognition Based on Reinforcement Learning and Adversarial Training -- Improved Partitioning Graph Embedding Framework for Small Cluster -- A Framework of Data Fusion through Spatio-temporal Knowledge Graph -- SEGAR: Knowledge Graph Augmented Session-based Recommendation -- Symbiosis: A Novel Framework for Integrating Hierarchies from Knowledge Graph into Recommendation System -- An Ensemble Fuzziness-based Online Sequential Learning Approach and Its Application -- GASKT: A Graph-based Attentive Knowledge-Search Model for Knowledge Tracing -- Fragile Neural Network Watermarking with Trigger Image Set -- Introducing Graph Neural Networks for Few-Shot Relation Prediction in Knowledge Graph Completion Task -- A Research Study on Running Machine Learning Algorithms on Big Data with Spark -- Attentional Neural Factorization Machines for Knowledge Tracing -- Node-Image CAEï¼A Novel Embedding Method via Convolutional Auto-Encoder and High-Order Proximities -- EN-DIVINE: An Enhanced Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning -- Knowledge Distillation via Channel Correlation Structure -- Feature Interaction Convolutional Network for Knowledge Graph Embedding -- Towards a Modular Ontology for Cloud Consumer Review Mining -- Identification of Critical Nodes in Urban Transportation Network through Network Topology and Server Routes -- Graph Ensemble Networks for Semi-Supervised Embedding Learning -- Rethinking the Information inside Documents for Sentiment Classification -- Dependency Parsing Representation Learning for Open Information Extraction -- Hierarchical Policy Network with Multi-Agent for Knowledge Graph Reasoning Based on Reinforcement Learning -- Inducing Bilingual Word Representations for Non-Isomorphic Spaces by an Unsupervised Way -- A Deep Learning Model Based on Neural Bag-of-words Attention for Sentiment Analysis -- Graph Attention Mechanism with Cardinality Preservation for Knowledge Graph Completion -- Event Relation Reasoning Based on Event Knowledge Graph -- PEN4Rec: Preference Evolution Networks for Session-based Recommendation -- HyperspherE: An Embedding Method for Knowledge Graph Completion Based on Hypersphere -- TroBo: A Novel Deep Transfer Model for Enhancing Cross-project Bug Localization -- A Neural Language Understanding for Dialogue State Tracking -- Spirit Distillation: A Model Compression Method with Multi-domain Knowledge Transfer -- Knowledge Tracing with Exercise-Enhanced Key-Value Memory Networks -- Entity Alignment between Knowledge Graphs Using Entity Type Matching -- Text-Aware Recommendation Model Based on Multi-Attention Neural Network -- Chinese Named Entity Recognition Based on Gated Graph Neural Network -- Learning a Similarity Metric Discriminatively with Application to Ancient Character Recognition -- Incorporating Global Context into Multi-task Learning for Session-based Recommendation -- Exploring Sequential and Collaborative Contexts for Next Point-of-Interest Recommendation -- Predicting User Preferences via Heterogeneous Information Network and Metric Learning -- An IoT Ontology Class Recommendation Method Based on Knowledge Graph -- Ride-Sharing Matching of Commuting Private Car using Reinforcement Learning -- Optimization of Remote Desktop with CNN Based Image Compression Model. Tipo de medio : Computadora Summary : 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. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Knowledge Science, Engineering and Management : 14th International Conference, KSEM 2021, Tokyo, Japan, August 14–16, 2021, Proceedings, Part I / [documento electrónico] / Qiu, Han, ; Zhang, Cheng, ; Fei, Zongming, ; Qiu, Meikang, ; Kung, Sun-Yuan, . - 1 ed. . - [s.l.] : Springer, 2021 . - XXVII, 710 p. 220 ilustraciones, 189 ilustraciones en color.
ISBN : 978-3-030-82136-4
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Inteligencia artificial Software de la aplicacion Ciencias sociales Red de computadoras Algoritmos Aplicaciones informáticas y de sistemas de información Aplicación informática en ciencias sociales y del comportamiento. Computadoras y Educación Redes de comunicación informática Diseño y Análisis de Algoritmos Clasificación: 006.3 Resumen: Este conjunto de tres volúmenes constituye las actas arbitradas de la 14.ª Conferencia Internacional sobre Ciencia, IngenierÃa y Gestión del Conocimiento, KSEM 2021, celebrada en Tokio, Japón, en agosto de 2021. Los 164 artÃculos completos revisados ​​fueron cuidadosamente revisados ​​y seleccionados entre 492 presentaciones. Las contribuciones se organizan en las siguientes secciones temáticas: ciencia del conocimiento con aprendizaje e IA; investigación y aplicaciones de ingenierÃa del conocimiento; Gestión del conocimiento con optimización y seguridad. Nota de contenido: Knowledge Science with Learning and AI (KSLA) -- Research on Innovation Trends of AI Applied to Medical Instruments Using Informetrics Based on Multi-Sourse Information -- Extracting Prerequisite Relations among Wikipedia Concepts using the Clickstream Data -- Clustering Massive-categories and Complex Documents via Graph Convolutional Network -- Structure-enhanced Graph Representation Learning for Link Prediction in Signed Networks -- A Property-based Method for Acquiring Commonsense Knowledge -- Multi-hop Learning promote Cooperation in Multi-agent Systems -- FedPS: Model Aggregation with Pseudo Samples -- Dense Incremental Extreme Learning Machine with Accelerating -- Amount and Proportional Integral Differential -- Knowledge-based Diverse Feature Transformation For Few-shot Relation Classification -- Community Detection In Dynamic Networks: A Novel Deep Learning Method -- Additive Noise Model Structure Learning Based on Rank Statistics -- A MOOCs Recommender System Based onUser's Knowledge Background -- TEBC-Net: An effective relation extraction approach for simple question answering over knowledge graphs -- Representing Knowledge Graphs with Gaussian Mixture Embedding -- A Semi-supervised Multi-objective Evolutionary Algorithm for Multi-layer Network Community Detection -- Named Entity Recognition Based on Reinforcement Learning and Adversarial Training -- Improved Partitioning Graph Embedding Framework for Small Cluster -- A Framework of Data Fusion through Spatio-temporal Knowledge Graph -- SEGAR: Knowledge Graph Augmented Session-based Recommendation -- Symbiosis: A Novel Framework for Integrating Hierarchies from Knowledge Graph into Recommendation System -- An Ensemble Fuzziness-based Online Sequential Learning Approach and Its Application -- GASKT: A Graph-based Attentive Knowledge-Search Model for Knowledge Tracing -- Fragile Neural Network Watermarking with Trigger Image Set -- Introducing Graph Neural Networks for Few-Shot Relation Prediction in Knowledge Graph Completion Task -- A Research Study on Running Machine Learning Algorithms on Big Data with Spark -- Attentional Neural Factorization Machines for Knowledge Tracing -- Node-Image CAEï¼A Novel Embedding Method via Convolutional Auto-Encoder and High-Order Proximities -- EN-DIVINE: An Enhanced Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning -- Knowledge Distillation via Channel Correlation Structure -- Feature Interaction Convolutional Network for Knowledge Graph Embedding -- Towards a Modular Ontology for Cloud Consumer Review Mining -- Identification of Critical Nodes in Urban Transportation Network through Network Topology and Server Routes -- Graph Ensemble Networks for Semi-Supervised Embedding Learning -- Rethinking the Information inside Documents for Sentiment Classification -- Dependency Parsing Representation Learning for Open Information Extraction -- Hierarchical Policy Network with Multi-Agent for Knowledge Graph Reasoning Based on Reinforcement Learning -- Inducing Bilingual Word Representations for Non-Isomorphic Spaces by an Unsupervised Way -- A Deep Learning Model Based on Neural Bag-of-words Attention for Sentiment Analysis -- Graph Attention Mechanism with Cardinality Preservation for Knowledge Graph Completion -- Event Relation Reasoning Based on Event Knowledge Graph -- PEN4Rec: Preference Evolution Networks for Session-based Recommendation -- HyperspherE: An Embedding Method for Knowledge Graph Completion Based on Hypersphere -- TroBo: A Novel Deep Transfer Model for Enhancing Cross-project Bug Localization -- A Neural Language Understanding for Dialogue State Tracking -- Spirit Distillation: A Model Compression Method with Multi-domain Knowledge Transfer -- Knowledge Tracing with Exercise-Enhanced Key-Value Memory Networks -- Entity Alignment between Knowledge Graphs Using Entity Type Matching -- Text-Aware Recommendation Model Based on Multi-Attention Neural Network -- Chinese Named Entity Recognition Based on Gated Graph Neural Network -- Learning a Similarity Metric Discriminatively with Application to Ancient Character Recognition -- Incorporating Global Context into Multi-task Learning for Session-based Recommendation -- Exploring Sequential and Collaborative Contexts for Next Point-of-Interest Recommendation -- Predicting User Preferences via Heterogeneous Information Network and Metric Learning -- An IoT Ontology Class Recommendation Method Based on Knowledge Graph -- Ride-Sharing Matching of Commuting Private Car using Reinforcement Learning -- Optimization of Remote Desktop with CNN Based Image Compression Model. Tipo de medio : Computadora Summary : 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. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Knowledge Science, Engineering and Management : 14th International Conference, KSEM 2021, Tokyo, Japan, August 14–16, 2021, Proceedings, Part II / Tipo de documento: documento electrónico Autores: Qiu, Han, ; Zhang, Cheng, ; Fei, Zongming, ; Qiu, Meikang, ; Kung, Sun-Yuan, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XV, 664 p. 65 ilustraciones, 2 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-82147-0 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Inteligencia artificial Software de la aplicacion Gestión de base de datos Ciencias sociales Visión por computador Aplicaciones informáticas y de sistemas de información Aplicación informática en ciencias sociales y del comportamiento. Computadoras y Educación Clasificación: 006.3 Resumen: Este conjunto de tres volúmenes constituye las actas arbitradas de la 14.ª Conferencia Internacional sobre Ciencia, IngenierÃa y Gestión del Conocimiento, KSEM 2021, celebrada en Tokio, Japón, en agosto de 2021. Los 164 artÃculos completos revisados ​​fueron cuidadosamente revisados ​​y seleccionados entre 492 presentaciones. Las contribuciones se organizan en las siguientes secciones temáticas: ciencia del conocimiento con aprendizaje e IA; investigación y aplicaciones de ingenierÃa del conocimiento; Gestión del conocimiento con optimización y seguridad. Nota de contenido: Part II Knowledge Engineering Research and Applications (KERA) -- Pretrain-Transfer Strategy -- English Cloze Test Based on BERT -- An Automatic Method for Understanding Political Polarization through Social Media -- An Improved Convolutional Neural Network Based on Noise Layer -- Syntactic Enhanced Projection Network for Few-shot Chinese Event Extraction -- A Framework of Data Augmentation While Active Learning for Chinese Named Entity Recognition -- Traffic Route Planning in Partially Observable Enviroment Using Actions Group Representation -- Bayesian belief network Model using Sematic Concept for Expert Finding -- Towards Solving the Winograd Schema Challenge: Model-Free, Model-Based and a Spectrum in Between -- The Novel Efficient Transformer for NLP -- Pretrain-Transfer Strategy -- English Cloze Test Based on BERT -- An Automatic Method for Understanding Political Polarization through Social Media -- An Improved Convolutional Neural Network Based on Noise Layer -- Syntactic Enhanced Projection Network for Few-shot Chinese Event Extraction -- A Framework of Data Augmentation While Active Learning for Chinese Named Entity Recognition -- Traffic Route Planning in Partially Observable Enviroment Using Actions Group Representation -- Bayesian belief network Model using Sematic Concept for Expert Finding -- Towards Solving the Winograd Schema Challenge: Model-Free, Model-Based and a Spectrum in Between -- The Novel Efficient Transformer for NLP -- Joint Entity and Relation Extraction for Long Text -- Evaluating dataset creation heuristics for concept detection in web pages using BERT.-Panoptic-DLA: Doucument Layout Analysis of Historical Newspapers Based on Proposal-Free Panoptic Segmentation Model -- Improving Answer Type Classification Quality Through Combined Question Answering Datasets -- FOBA: Flight Operation Behavior Analysis Based On Hierarchical Encoding -- An Event Detection Method Combining Temporal Dimension and Position Dimension -- Local Feature Normalization -- Combining Knowledge with Attention Neural Networks for Short Text Classification -- A Dialogue Contextual Flow Model for Utterance Intent Recognition in Multi-turn Online Conversation -- An Empirical Study on Effect of Semantic Measures in Cross-domain Recommender System in User Cold-start Scenario -- Community Enhanced Course Concept Recommendation in MOOCs with Multiple Entities -- AABC:ALBERT-BiLSTM-CRF combining with Adapters -- Q-learning with Fisher Score for Feature Selection of Large-scale Data Sets -- The Modularity of Inconsistent Knowledge Bases with Application to Measuring Inconsistency -- Collaborative Embedding for Knowledge Tracing -- Construction and Analysis of Cross-Regional Emergency Collaboration Network Model -- Residual gated recurrent unit-based stacked network for stock trend prediction from limit order book -- A Social Attribute Inferred Model Based on Spatio-Temporal Data -- Chinese Judicial Abstracting Based on Short Sentence Extraction and GPT-2 -- Extracting Anomalous Pre-Earthquake Signatures from Swarm Satellite Data using EOF and PC analysis -- Hierarchical Multi-label Text Classification: Self-adaption Semantic Awareness Network Integrating Text Topic and Label Level Information -- Sememes-based Framework for Knowledge Graph Embedding with Comprehensive-Information -- Domain-Specific Sentence Encoder for Intention Recognition in Large-Scale Shopping Platforms -- Chinese Event Detection Based on Event Ontology and Siamese Network -- Alzheimer's Disease Prediction Using EfficientNet and Fastai -- Interval Occlusion Calculus with Size Information -- Adaptive Entity Alignment for Cross-lingual Knowledge Graph.-Similarity-Based Heterogeneous Graph Attention Network for Knowledge-Enhanced Recommendation -- Accurate and robust RGB-D visual odometry based on point and line features -- Sentence Extraction-Based Machine Reading Comprehension for Vietnamese -- Analyzing and Recommending Development Order based on Design ClassDiagram -- HCapsNet: A Text Classification Model Based On Hierarchical Capsule Network -- Sentence Matching With Deep Self-Attention and Co-Attention Features -- Not Only the Contextual Semantic Information ï¼A Deep Fusion Sentimental Analysis Model towards Extremely Short Comments -- A Label Noise Robust Cross-Modal Hashing Approach -- Acoustic Modeling for Indoor Spaces Using Ray-Tracing Method -- Learning path recommendation for MOOC platforms based on a knowledge graph -- Spy The Lie: Fraudulent Jobs Detection in Recruitment Domain using Knowledge Graphs -- Performance Evaluation of Multi-class Sentiment Classification using Deep Neural Network Models Optimised for Binary Classification.-Discovering Stable Ride-sharing Groups for Commuting Private Car using Spatio-temporal Semantic Similarity -- SA2SL: From Aspect-Based Sentiment Analysis to Social Listening System for Business Intelligence. . Tipo de medio : Computadora Summary : 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. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Knowledge Science, Engineering and Management : 14th International Conference, KSEM 2021, Tokyo, Japan, August 14–16, 2021, Proceedings, Part II / [documento electrónico] / Qiu, Han, ; Zhang, Cheng, ; Fei, Zongming, ; Qiu, Meikang, ; Kung, Sun-Yuan, . - 1 ed. . - [s.l.] : Springer, 2021 . - XV, 664 p. 65 ilustraciones, 2 ilustraciones en color.
ISBN : 978-3-030-82147-0
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Inteligencia artificial Software de la aplicacion Gestión de base de datos Ciencias sociales Visión por computador Aplicaciones informáticas y de sistemas de información Aplicación informática en ciencias sociales y del comportamiento. Computadoras y Educación Clasificación: 006.3 Resumen: Este conjunto de tres volúmenes constituye las actas arbitradas de la 14.ª Conferencia Internacional sobre Ciencia, IngenierÃa y Gestión del Conocimiento, KSEM 2021, celebrada en Tokio, Japón, en agosto de 2021. Los 164 artÃculos completos revisados ​​fueron cuidadosamente revisados ​​y seleccionados entre 492 presentaciones. Las contribuciones se organizan en las siguientes secciones temáticas: ciencia del conocimiento con aprendizaje e IA; investigación y aplicaciones de ingenierÃa del conocimiento; Gestión del conocimiento con optimización y seguridad. Nota de contenido: Part II Knowledge Engineering Research and Applications (KERA) -- Pretrain-Transfer Strategy -- English Cloze Test Based on BERT -- An Automatic Method for Understanding Political Polarization through Social Media -- An Improved Convolutional Neural Network Based on Noise Layer -- Syntactic Enhanced Projection Network for Few-shot Chinese Event Extraction -- A Framework of Data Augmentation While Active Learning for Chinese Named Entity Recognition -- Traffic Route Planning in Partially Observable Enviroment Using Actions Group Representation -- Bayesian belief network Model using Sematic Concept for Expert Finding -- Towards Solving the Winograd Schema Challenge: Model-Free, Model-Based and a Spectrum in Between -- The Novel Efficient Transformer for NLP -- Pretrain-Transfer Strategy -- English Cloze Test Based on BERT -- An Automatic Method for Understanding Political Polarization through Social Media -- An Improved Convolutional Neural Network Based on Noise Layer -- Syntactic Enhanced Projection Network for Few-shot Chinese Event Extraction -- A Framework of Data Augmentation While Active Learning for Chinese Named Entity Recognition -- Traffic Route Planning in Partially Observable Enviroment Using Actions Group Representation -- Bayesian belief network Model using Sematic Concept for Expert Finding -- Towards Solving the Winograd Schema Challenge: Model-Free, Model-Based and a Spectrum in Between -- The Novel Efficient Transformer for NLP -- Joint Entity and Relation Extraction for Long Text -- Evaluating dataset creation heuristics for concept detection in web pages using BERT.-Panoptic-DLA: Doucument Layout Analysis of Historical Newspapers Based on Proposal-Free Panoptic Segmentation Model -- Improving Answer Type Classification Quality Through Combined Question Answering Datasets -- FOBA: Flight Operation Behavior Analysis Based On Hierarchical Encoding -- An Event Detection Method Combining Temporal Dimension and Position Dimension -- Local Feature Normalization -- Combining Knowledge with Attention Neural Networks for Short Text Classification -- A Dialogue Contextual Flow Model for Utterance Intent Recognition in Multi-turn Online Conversation -- An Empirical Study on Effect of Semantic Measures in Cross-domain Recommender System in User Cold-start Scenario -- Community Enhanced Course Concept Recommendation in MOOCs with Multiple Entities -- AABC:ALBERT-BiLSTM-CRF combining with Adapters -- Q-learning with Fisher Score for Feature Selection of Large-scale Data Sets -- The Modularity of Inconsistent Knowledge Bases with Application to Measuring Inconsistency -- Collaborative Embedding for Knowledge Tracing -- Construction and Analysis of Cross-Regional Emergency Collaboration Network Model -- Residual gated recurrent unit-based stacked network for stock trend prediction from limit order book -- A Social Attribute Inferred Model Based on Spatio-Temporal Data -- Chinese Judicial Abstracting Based on Short Sentence Extraction and GPT-2 -- Extracting Anomalous Pre-Earthquake Signatures from Swarm Satellite Data using EOF and PC analysis -- Hierarchical Multi-label Text Classification: Self-adaption Semantic Awareness Network Integrating Text Topic and Label Level Information -- Sememes-based Framework for Knowledge Graph Embedding with Comprehensive-Information -- Domain-Specific Sentence Encoder for Intention Recognition in Large-Scale Shopping Platforms -- Chinese Event Detection Based on Event Ontology and Siamese Network -- Alzheimer's Disease Prediction Using EfficientNet and Fastai -- Interval Occlusion Calculus with Size Information -- Adaptive Entity Alignment for Cross-lingual Knowledge Graph.-Similarity-Based Heterogeneous Graph Attention Network for Knowledge-Enhanced Recommendation -- Accurate and robust RGB-D visual odometry based on point and line features -- Sentence Extraction-Based Machine Reading Comprehension for Vietnamese -- Analyzing and Recommending Development Order based on Design ClassDiagram -- HCapsNet: A Text Classification Model Based On Hierarchical Capsule Network -- Sentence Matching With Deep Self-Attention and Co-Attention Features -- Not Only the Contextual Semantic Information ï¼A Deep Fusion Sentimental Analysis Model towards Extremely Short Comments -- A Label Noise Robust Cross-Modal Hashing Approach -- Acoustic Modeling for Indoor Spaces Using Ray-Tracing Method -- Learning path recommendation for MOOC platforms based on a knowledge graph -- Spy The Lie: Fraudulent Jobs Detection in Recruitment Domain using Knowledge Graphs -- Performance Evaluation of Multi-class Sentiment Classification using Deep Neural Network Models Optimised for Binary Classification.-Discovering Stable Ride-sharing Groups for Commuting Private Car using Spatio-temporal Semantic Similarity -- SA2SL: From Aspect-Based Sentiment Analysis to Social Listening System for Business Intelligence. . Tipo de medio : Computadora Summary : 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. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Knowledge Science, Engineering and Management : 14th International Conference, KSEM 2021, Tokyo, Japan, August 14–16, 2021, Proceedings, Part III / Tipo de documento: documento electrónico Autores: Qiu, Han, ; Zhang, Cheng, ; Fei, Zongming, ; Qiu, Meikang, ; Kung, Sun-Yuan, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XV, 690 p. 247 ilustraciones, 177 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-82153-1 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Inteligencia artificial Ciencias sociales Gestión de base de datos Visión por computador Red de computadoras Aplicación informática en ciencias sociales y del comportamiento. Computadoras y Educación Redes de comunicación informática Clasificación: 006.3 Resumen: Este conjunto de tres volúmenes constituye las actas arbitradas de la 14.ª Conferencia Internacional sobre Ciencia, IngenierÃa y Gestión del Conocimiento, KSEM 2021, celebrada en Tokio, Japón, en agosto de 2021. Los 164 artÃculos completos revisados ​​fueron cuidadosamente revisados ​​y seleccionados entre 492 presentaciones. Las contribuciones se organizan en las siguientes secciones temáticas: ciencia del conocimiento con aprendizaje e IA; investigación y aplicaciones de ingenierÃa del conocimiento; Gestión del conocimiento con optimización y seguridad. Nota de contenido: 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 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. Tipo de medio : Computadora Summary : 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. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Knowledge Science, Engineering and Management : 14th International Conference, KSEM 2021, Tokyo, Japan, August 14–16, 2021, Proceedings, Part III / [documento electrónico] / Qiu, Han, ; Zhang, Cheng, ; Fei, Zongming, ; Qiu, Meikang, ; Kung, Sun-Yuan, . - 1 ed. . - [s.l.] : Springer, 2021 . - XV, 690 p. 247 ilustraciones, 177 ilustraciones en color.
ISBN : 978-3-030-82153-1
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Inteligencia artificial Ciencias sociales Gestión de base de datos Visión por computador Red de computadoras Aplicación informática en ciencias sociales y del comportamiento. Computadoras y Educación Redes de comunicación informática Clasificación: 006.3 Resumen: Este conjunto de tres volúmenes constituye las actas arbitradas de la 14.ª Conferencia Internacional sobre Ciencia, IngenierÃa y Gestión del Conocimiento, KSEM 2021, celebrada en Tokio, Japón, en agosto de 2021. Los 164 artÃculos completos revisados ​​fueron cuidadosamente revisados ​​y seleccionados entre 492 presentaciones. Las contribuciones se organizan en las siguientes secciones temáticas: ciencia del conocimiento con aprendizaje e IA; investigación y aplicaciones de ingenierÃa del conocimiento; Gestión del conocimiento con optimización y seguridad. Nota de contenido: 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 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. Tipo de medio : Computadora Summary : 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. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
