| TÃtulo : |
13th International Conference, KSEM 2020, Hangzhou, China, August 28–30, 2020, Proceedings, Part I |
| Tipo de documento: |
documento electrónico |
| Autores: |
Li, Gang, ; Shen, Heng Tao, ; Yuan, Ye, ; Wang, Xiaoyang, ; Liu, Huawen, ; Zhao, Xiang, |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2020 |
| Número de páginas: |
XXVI, 510 p. 202 ilustraciones, 116 ilustraciones en color. |
| ISBN/ISSN/DL: |
978-3-030-55130-8 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Palabras clave: |
Inteligencia artificial Software de la aplicacion Ciencias sociales Procesamiento de datos Gestión de base de datos TecnologÃa de la información Aplicaciones informáticas y de sistemas de información Aplicación informática en ciencias sociales y del comportamiento MinerÃa de datos y descubrimiento de conocimientos Aplicación Informática en Tratamiento de Datos Administrativos |
| Ãndice Dewey: |
006.3 Inteligencia artificial |
| Resumen: |
Este conjunto de dos volúmenes de LNAI 12274 y LNAI 12275 constituye las actas arbitradas de la 13.ª Conferencia Internacional sobre Ciencia, IngenierÃa y Gestión del Conocimiento, KSEM 2020, celebrada en Hangzhou, China, en agosto de 2020.* Los 58 artÃculos completos revisados ​​y los 27 artÃculos breves Los artÃculos fueron cuidadosamente revisados ​​y seleccionados entre 291 presentaciones. Los artÃculos del primer volumen están organizados en las siguientes secciones temáticas: gráfico de conocimiento; representación del conocimiento; gestión del conocimiento para la educación; sistemas basados ​​en el conocimiento; y procesamiento y minerÃa de datos. Los artÃculos del segundo volumen están organizados en las siguientes secciones temáticas: aprendizaje automático; algoritmos y sistemas de recomendación; análisis y gestión del conocimiento social; minerÃa de textos y análisis de documentos; y aprendizaje profundo. *La conferencia se realizó de manera virtual debido a la pandemia de COVID-19. |
| Nota de contenido: |
Knowledge Graph -- Event-centric Tourism Knowledge Graph — A Case Study of Hainan -- Extracting Short Entity Descriptions for Open-World Extension to Knowledge Graph Completion Models -- Graph Embedding Based on Characteristic of Rooted Subgraph Structure -- Knowledge Graphs Meet Geometry for Semi-supervised Monocular Depth Estimation -- Topological Graph Representation Learning on Property Graph -- Measuring Triplet Trustworthiness in Knowledge Graphs via Expanded Relation Detection -- A Contextualized Entity Representation for Knowledge Graph Completion -- A Dual Fusion Model for Attributed Network Embedding -- Attention-based Knowledge Tracing with Heterogeneous Information Network Embedding -- Knowledge Representation -- Detecting Statistically Significant Events in Large Heterogeneous Attribute Graphs via Densest Subgraphs -- Edge Features Enhanced Graph Attention Network for Relation Extraction -- MMEA: Entity Alignment for Multi-Modal Knowledge Graph -- A Hybrid Model with Pre-trained Entity-Aware Transformer for Relation Extraction -- NovEA: A Novel Model of Entity Alignment Using Attribute Triples and Relation Triples -- A Robust Representation with Pre-Trained Start and End Characters Vectors for Noisy Word Recognition -- Intention Multiple-representation Model for Logistics Intelligent Customer Service -- Identifying Loners from Their Project Collaboration Records – A Graph-based Approach -- Node Embedding over Attributed Bipartite Graphs -- FastLogSim: A quick log pattern parser scheme based on text similarity -- Knowledge Management for Education -- Robotic Pushing and Grasping Knowledge Learning via Attention Deep Q-Learning Network -- A Dynamic Answering Path based Fusion Model for KGQA -- Improving Deep Item-based Collaborative Filtering with Bayesian Personalized Ranking for MOOC Course Recommendation -- Online Programming Education Modeling and Knowledge Tracing -- Enhancing Pre-Trained Language Models by Self-Supervised Learning for Story Cloze Test -- MOOCRec: An Attention Meta-path Based Model for Top-K Recommendation in MOOC -- Knowledge-based Systems -- PVFNet: Point-view fusion network for 3D shape recognition -- HEAM: Heterogeneous Network Embedding with Automatic Meta-path Construction -- A Graph Attentive Network Model for P2P Lending Fraud Detection -- An Empirical Study on Recent Graph Database Systems -- Bibliometric Analysis of Twitter Knowledge management publications related to Health Promotion -- Automatic cerebral artery system labeling using registration and key points tracking -- Page-level handwritten word spotting via discriminative feature learning -- NADSR: A Network Anomaly Detection Scheme based on Representation -- A Knowledge-based Scheduling Method for Multi-Satellite Range System -- IM-Net: Semantic Segmentation Algorithm for Medical Images Based on Mutual Information Maximization -- Data Processing and Mining -- Fast Backward Iterative Laplacian Score for Unsupervised Feature Selection -- Improving Low-Resource Chinese Event Detection with Multi-Task Learning -- Feature Selection Using Sparse Twin Support Vector Machine with correntropy-induces loss -- Customized Decision Tree for Fat Multi-resolution Chart Patterns Classification -- Predicting user influence in the propagation of toxic information -- Extracting Distinctive Shapelets with Random Selection for Early Classification -- Butterfly-Based Higher-Order Clustering on Bipartite Networks -- Learning Dynamic Pricing Rules for Flight Tickets. |
| En lÃnea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
13th International Conference, KSEM 2020, Hangzhou, China, August 28–30, 2020, Proceedings, Part I [documento electrónico] / Li, Gang, ; Shen, Heng Tao, ; Yuan, Ye, ; Wang, Xiaoyang, ; Liu, Huawen, ; Zhao, Xiang, . - 1 ed. . - [s.l.] : Springer, 2020 . - XXVI, 510 p. 202 ilustraciones, 116 ilustraciones en color. ISBN : 978-3-030-55130-8 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
| Palabras clave: |
Inteligencia artificial Software de la aplicacion Ciencias sociales Procesamiento de datos Gestión de base de datos TecnologÃa de la información Aplicaciones informáticas y de sistemas de información Aplicación informática en ciencias sociales y del comportamiento MinerÃa de datos y descubrimiento de conocimientos Aplicación Informática en Tratamiento de Datos Administrativos |
| Ãndice Dewey: |
006.3 Inteligencia artificial |
| Resumen: |
Este conjunto de dos volúmenes de LNAI 12274 y LNAI 12275 constituye las actas arbitradas de la 13.ª Conferencia Internacional sobre Ciencia, IngenierÃa y Gestión del Conocimiento, KSEM 2020, celebrada en Hangzhou, China, en agosto de 2020.* Los 58 artÃculos completos revisados ​​y los 27 artÃculos breves Los artÃculos fueron cuidadosamente revisados ​​y seleccionados entre 291 presentaciones. Los artÃculos del primer volumen están organizados en las siguientes secciones temáticas: gráfico de conocimiento; representación del conocimiento; gestión del conocimiento para la educación; sistemas basados ​​en el conocimiento; y procesamiento y minerÃa de datos. Los artÃculos del segundo volumen están organizados en las siguientes secciones temáticas: aprendizaje automático; algoritmos y sistemas de recomendación; análisis y gestión del conocimiento social; minerÃa de textos y análisis de documentos; y aprendizaje profundo. *La conferencia se realizó de manera virtual debido a la pandemia de COVID-19. |
| Nota de contenido: |
Knowledge Graph -- Event-centric Tourism Knowledge Graph — A Case Study of Hainan -- Extracting Short Entity Descriptions for Open-World Extension to Knowledge Graph Completion Models -- Graph Embedding Based on Characteristic of Rooted Subgraph Structure -- Knowledge Graphs Meet Geometry for Semi-supervised Monocular Depth Estimation -- Topological Graph Representation Learning on Property Graph -- Measuring Triplet Trustworthiness in Knowledge Graphs via Expanded Relation Detection -- A Contextualized Entity Representation for Knowledge Graph Completion -- A Dual Fusion Model for Attributed Network Embedding -- Attention-based Knowledge Tracing with Heterogeneous Information Network Embedding -- Knowledge Representation -- Detecting Statistically Significant Events in Large Heterogeneous Attribute Graphs via Densest Subgraphs -- Edge Features Enhanced Graph Attention Network for Relation Extraction -- MMEA: Entity Alignment for Multi-Modal Knowledge Graph -- A Hybrid Model with Pre-trained Entity-Aware Transformer for Relation Extraction -- NovEA: A Novel Model of Entity Alignment Using Attribute Triples and Relation Triples -- A Robust Representation with Pre-Trained Start and End Characters Vectors for Noisy Word Recognition -- Intention Multiple-representation Model for Logistics Intelligent Customer Service -- Identifying Loners from Their Project Collaboration Records – A Graph-based Approach -- Node Embedding over Attributed Bipartite Graphs -- FastLogSim: A quick log pattern parser scheme based on text similarity -- Knowledge Management for Education -- Robotic Pushing and Grasping Knowledge Learning via Attention Deep Q-Learning Network -- A Dynamic Answering Path based Fusion Model for KGQA -- Improving Deep Item-based Collaborative Filtering with Bayesian Personalized Ranking for MOOC Course Recommendation -- Online Programming Education Modeling and Knowledge Tracing -- Enhancing Pre-Trained Language Models by Self-Supervised Learning for Story Cloze Test -- MOOCRec: An Attention Meta-path Based Model for Top-K Recommendation in MOOC -- Knowledge-based Systems -- PVFNet: Point-view fusion network for 3D shape recognition -- HEAM: Heterogeneous Network Embedding with Automatic Meta-path Construction -- A Graph Attentive Network Model for P2P Lending Fraud Detection -- An Empirical Study on Recent Graph Database Systems -- Bibliometric Analysis of Twitter Knowledge management publications related to Health Promotion -- Automatic cerebral artery system labeling using registration and key points tracking -- Page-level handwritten word spotting via discriminative feature learning -- NADSR: A Network Anomaly Detection Scheme based on Representation -- A Knowledge-based Scheduling Method for Multi-Satellite Range System -- IM-Net: Semantic Segmentation Algorithm for Medical Images Based on Mutual Information Maximization -- Data Processing and Mining -- Fast Backward Iterative Laplacian Score for Unsupervised Feature Selection -- Improving Low-Resource Chinese Event Detection with Multi-Task Learning -- Feature Selection Using Sparse Twin Support Vector Machine with correntropy-induces loss -- Customized Decision Tree for Fat Multi-resolution Chart Patterns Classification -- Predicting user influence in the propagation of toxic information -- Extracting Distinctive Shapelets with Random Selection for Early Classification -- Butterfly-Based Higher-Order Clustering on Bipartite Networks -- Learning Dynamic Pricing Rules for Flight Tickets. |
| En lÃnea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
|  |
13th International Conference, KSEM 2020, Hangzhou, China, August 28–30, 2020, Proceedings, Part I
