| TÃtulo : |
21st International Conference, Amsterdam, The Netherlands, October 20–24, 2020, Proceedings, Part I |
| Tipo de documento: |
documento electrónico |
| Autores: |
Huang, Zhisheng, ; Beek, Wouter, ; Wang, Hua, ; Zhou, Rui, ; Zhang, Yanchun, |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2020 |
| Número de páginas: |
XVIII, 578 p. 178 ilustraciones, 139 ilustraciones en color. |
| ISBN/ISSN/DL: |
978-3-030-62005-9 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Palabras clave: |
Software de la aplicacion Ciencias sociales Inteligencia artificial Ciencias de la Computación Procesamiento de datos Sistemas de almacenamiento y recuperación de información Aplicaciones informáticas y de sistemas de información Aplicación informática en ciencias sociales y del comportamiento TeorÃa de la Computación MinerÃa de datos y descubrimiento de conocimientos Almacenamiento y recuperación de información |
| Ãndice Dewey: |
005.3 Ciencia de los computadores (Programas) |
| Resumen: |
Este libro constituye las actas de la 21.ª Conferencia Internacional sobre IngenierÃa de Sistemas de Información Web, WISE 2020, celebrada en Ãmsterdam, PaÃses Bajos, en octubre de 2020. Los 81 artÃculos completos presentados fueron cuidadosamente revisados ​​y seleccionados entre 190 presentaciones. Los artÃculos están organizados en las siguientes secciones temáticas: Parte I: integración de redes; graficar red neuronal; red social; consulta de gráfico; gráfico de conocimiento y vinculación de entidades; análisis de datos espaciales temporales; y computación de servicios y computación en la nube Parte II: extracción de información; extracción de textos; seguridad y privacidad; sistema de recomendación; sistema de base de datos y flujo de trabajo; y minerÃa de datos y aplicaciones. |
| Nota de contenido: |
Network Embedding -- Higher-Order Graph Convolutional Embedding for Temporal Networks -- ROLNE: Improving the Quality of Network Embedding With Structural Role Proximity -- Weighted Meta-Path Embedding Learning for Heterogeneous Information Networks -- A Graph Embedding Based Real-time Social Activity Matching Model for EBSNs Recommendation -- Competitor Mining from Web Encyclopedia: A Graph Embedding Approach -- Graph Neural Network -- Fine-grained Semantics-aware Heterogeneous Graph Neural Networks -- DynGCN: A Dynamic Graph Convolutional Network Based on Spatial-Temporal Modeling -- NeuLP: An End-to-end Deep-learning Model for Link Prediction -- PLSGAN: a Power-Law-modified Sequential Generative Adversarial Network for Graph Generation -- Social Network -- User Profile Linkage across Multiple Social Platforms -- Budgeted Influence Maximization with Tags in Social Networks -- Modeling Implicit Communities from Geo-tagged Event Traces using Spatio-Temporal Point Processes -- Detecting Social Spammers in Sina Weibo Using Extreme Deep Factorization Machine -- Clustering Hashtags Using Temporal Patterns -- Nonnegative Residual Matrix Factorization for Community Detection -- Graph Query -- Fast Algorithm for Distance Dynamics-based Community Detection -- A hybrid index for exact shortest distance queries -- DySky: Dynamic Skyline Queries on Uncertain Graphs -- Leveraging Double Simulation to Efficiently Evaluate Hybrid Patterns on Data Graphs -- Knowledge Graph and Entity Linkage -- Knowledge-Infused Pre-Trained Models for KG Completion -- TransMVG: Knowledge Graph Embedding based on Multiple-Valued Gates -- ADKT: Adaptive Deep Knowledge Tracing -- MULCE: Multi-Level Canonicalization with Embeddings of Open Knowledge Bases -- Encoding Knowledge Graph Entity Aliases in Attentive Neural Networks for Wikidata Entity Linking -- Improving Entity Linking with Graph Networks -- Spatial Temporal Data Analysis -- AccurateIndoor Positioning Prediction Using The LSTM and Grey Model -- Bus Travel Time Prediction Based on Deep Spatio-Temporal Model -- TraSP: A General Framework for Online Trajectory Similarity Processing -- Indicators for Measuring Tourist Mobility -- Modeling Local and Global Flow Aggregation for Traffic Flow Forecasting -- NSA-Net: A NetFlow Sequence Attention Network for Virtual Private Network Traffic Detection -- Spatial and Temporal Pricing Approach for Tasks in Spatial Crowdsourcing -- Service Computing and Cloud Computing -- Attention-based High-order Feature Interactions to Enhance the Recommender System for Web-based Knowledge-Sharing Service -- Designing Context-based Services for Resilient Cyber Physical Production Systems -- A Novel Repair-Based Multi-Objective Algorithm for QoS-Constrained Distributed Data-Intensive Web Service Composition -- Heuristics based Mosaic of Social-Sensor Services for Scene Reconstruction -- Fast Build Top-k Lightweight Service-based Systems -- Comparison of Text-based and Feature-based Semantic Similarity Between Android Apps -- Subjective Metrics-based Cloud Market Performance Prediction -- Towards Web-scale and Energy-efficient Hybrid SDNs: Deployment Optimization and Fine-grained Link State Management. |
| 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 |
21st International Conference, Amsterdam, The Netherlands, October 20–24, 2020, Proceedings, Part I [documento electrónico] / Huang, Zhisheng, ; Beek, Wouter, ; Wang, Hua, ; Zhou, Rui, ; Zhang, Yanchun, . - 1 ed. . - [s.l.] : Springer, 2020 . - XVIII, 578 p. 178 ilustraciones, 139 ilustraciones en color. ISBN : 978-3-030-62005-9 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
| Palabras clave: |
Software de la aplicacion Ciencias sociales Inteligencia artificial Ciencias de la Computación Procesamiento de datos Sistemas de almacenamiento y recuperación de información Aplicaciones informáticas y de sistemas de información Aplicación informática en ciencias sociales y del comportamiento TeorÃa de la Computación MinerÃa de datos y descubrimiento de conocimientos Almacenamiento y recuperación de información |
| Ãndice Dewey: |
005.3 Ciencia de los computadores (Programas) |
| Resumen: |
Este libro constituye las actas de la 21.ª Conferencia Internacional sobre IngenierÃa de Sistemas de Información Web, WISE 2020, celebrada en Ãmsterdam, PaÃses Bajos, en octubre de 2020. Los 81 artÃculos completos presentados fueron cuidadosamente revisados ​​y seleccionados entre 190 presentaciones. Los artÃculos están organizados en las siguientes secciones temáticas: Parte I: integración de redes; graficar red neuronal; red social; consulta de gráfico; gráfico de conocimiento y vinculación de entidades; análisis de datos espaciales temporales; y computación de servicios y computación en la nube Parte II: extracción de información; extracción de textos; seguridad y privacidad; sistema de recomendación; sistema de base de datos y flujo de trabajo; y minerÃa de datos y aplicaciones. |
| Nota de contenido: |
Network Embedding -- Higher-Order Graph Convolutional Embedding for Temporal Networks -- ROLNE: Improving the Quality of Network Embedding With Structural Role Proximity -- Weighted Meta-Path Embedding Learning for Heterogeneous Information Networks -- A Graph Embedding Based Real-time Social Activity Matching Model for EBSNs Recommendation -- Competitor Mining from Web Encyclopedia: A Graph Embedding Approach -- Graph Neural Network -- Fine-grained Semantics-aware Heterogeneous Graph Neural Networks -- DynGCN: A Dynamic Graph Convolutional Network Based on Spatial-Temporal Modeling -- NeuLP: An End-to-end Deep-learning Model for Link Prediction -- PLSGAN: a Power-Law-modified Sequential Generative Adversarial Network for Graph Generation -- Social Network -- User Profile Linkage across Multiple Social Platforms -- Budgeted Influence Maximization with Tags in Social Networks -- Modeling Implicit Communities from Geo-tagged Event Traces using Spatio-Temporal Point Processes -- Detecting Social Spammers in Sina Weibo Using Extreme Deep Factorization Machine -- Clustering Hashtags Using Temporal Patterns -- Nonnegative Residual Matrix Factorization for Community Detection -- Graph Query -- Fast Algorithm for Distance Dynamics-based Community Detection -- A hybrid index for exact shortest distance queries -- DySky: Dynamic Skyline Queries on Uncertain Graphs -- Leveraging Double Simulation to Efficiently Evaluate Hybrid Patterns on Data Graphs -- Knowledge Graph and Entity Linkage -- Knowledge-Infused Pre-Trained Models for KG Completion -- TransMVG: Knowledge Graph Embedding based on Multiple-Valued Gates -- ADKT: Adaptive Deep Knowledge Tracing -- MULCE: Multi-Level Canonicalization with Embeddings of Open Knowledge Bases -- Encoding Knowledge Graph Entity Aliases in Attentive Neural Networks for Wikidata Entity Linking -- Improving Entity Linking with Graph Networks -- Spatial Temporal Data Analysis -- AccurateIndoor Positioning Prediction Using The LSTM and Grey Model -- Bus Travel Time Prediction Based on Deep Spatio-Temporal Model -- TraSP: A General Framework for Online Trajectory Similarity Processing -- Indicators for Measuring Tourist Mobility -- Modeling Local and Global Flow Aggregation for Traffic Flow Forecasting -- NSA-Net: A NetFlow Sequence Attention Network for Virtual Private Network Traffic Detection -- Spatial and Temporal Pricing Approach for Tasks in Spatial Crowdsourcing -- Service Computing and Cloud Computing -- Attention-based High-order Feature Interactions to Enhance the Recommender System for Web-based Knowledge-Sharing Service -- Designing Context-based Services for Resilient Cyber Physical Production Systems -- A Novel Repair-Based Multi-Objective Algorithm for QoS-Constrained Distributed Data-Intensive Web Service Composition -- Heuristics based Mosaic of Social-Sensor Services for Scene Reconstruction -- Fast Build Top-k Lightweight Service-based Systems -- Comparison of Text-based and Feature-based Semantic Similarity Between Android Apps -- Subjective Metrics-based Cloud Market Performance Prediction -- Towards Web-scale and Energy-efficient Hybrid SDNs: Deployment Optimization and Fine-grained Link State Management. |
| 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 |
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