| TÃtulo : |
24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22–25, 2019, Proceedings, Part II |
| Tipo de documento: |
documento electrónico |
| Autores: |
Li, Guoliang, ; Yang, Jun, ; Gama, João, ; Natwichai, Juggapong, ; Tong, Yongxin, |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2019 |
| Número de páginas: |
XXIII, 785 p. 334 ilustraciones, 195 ilustraciones en color. |
| ISBN/ISSN/DL: |
978-3-030-18579-4 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Palabras clave: |
Gestión de base de datos Procesamiento de datos Sistemas de almacenamiento y recuperación de información Inteligencia artificial Ciencias sociales Red de computadoras MinerÃa de datos y descubrimiento de conocimientos Almacenamiento y recuperación de información Aplicación informática en ciencias sociales y del comportamiento Redes de comunicación informática |
| Ãndice Dewey: |
005.74 Ciencia de los computadores (Archivos de datos y bases de datos) |
| Resumen: |
Este conjunto de dos volúmenes LNCS 11446 y LNCS 11447 constituye las actas arbitradas de la 24.ª Conferencia internacional sobre sistemas de bases de datos para aplicaciones avanzadas, DASFAA 2019, celebrada en Chiang Mai, Tailandia, en abril de 2019. Los 92 artÃculos completos y los 64 artÃculos breves se seleccionaron cuidadosamente de un total de 501 presentaciones. Además, se incluyen 13 artÃculos de demostración y 6 artÃculos tutoriales. Los artÃculos completos están organizados en los siguientes temas: big data; agrupamiento y clasificación; crowdsourcing; integración de datos; incrustación; gráficos; gráfico de conocimiento; aprendizaje automático; privacidad y gráfico; recomendación; red social; espacial; y espacio-temporal. Los artÃculos breves, los artÃculos de demostración y los artÃculos tutoriales se pueden encontrar en el volumen LNCS 11448, que también incluye los talleres de DASFAA 2019. |
| Nota de contenido: |
Machine Learning -- An Approach Based on Bayesian Networks for Query Selectivity Estimation -- An Exploration of Cross-Modal Retrieval for Unseen Concepts -- Continuous Patient-centric Sequence Generation via Sequentially Coupled Adversarial Learning -- DMMAM: A Deep Multi-source Multi-task Attention Model for Intensive Care Unit Diagnosis -- Learning k-Occurrence Regular Expressions with Interleaving -- Learning from User Social Relation for Document Sentiment Classification -- Reinforcement Learning to Diversify Recommendations -- Retweeting Prediction using Matrix Factorization with Binomial Distribution and Contextual Information -- Sparse Gradient Compression for Distributed SGD -- STDR: A Deep Learning Method for Travel Time Estimation -- Using Fractional Latent Topic to Enhance Recurrent Neural Network in Text Similarity Modeling -- Efficiently Mining Maximal Diverse Frequent Itemsets -- Privacy and Graph -- Efficient Local Search for Minimum Dominating Sets in Large Graphs.-Multi-level Graph Compression for Fast Reachability Detection -- Multiple Privacy Regimes Mechanism For Local Differential Privacy -- Privacy Preserving Elastic Stream Processing with Clouds using Homomorphic Encryption -- Select the Best for Me: Privacy-preserving Polynomial Evaluation Algorithm over Road Network -- Recommendation -- AdaCML: Adaptive Collaborative Metric Learning for Recommendation -- Adaptive Attention-Aware Gated Recurrent Unit for Sequential Recommendation -- Attention and Convolution Enhanced Memory Network for Sequential Recommendation -- Attention-based Neural Tag Recommender System -- Density Matrix based Preference Evolution Networks for E-commerce Recommendation -- Multi-Source Multi-Net Micro-Video Recommendation with Hidden Item Category Discovery -- Incorporating Task-oriented Representation in Text Classification -- Music Playlist Recommendation with Long Short-Term Memory -- Online Collaborative Filtering with Implicit Feedback -- Subspace Ensemble-based Neighbor User Searching for Neighborhood-based Collaborative Filtering -- Towards Both Local and Global Query Result Diversification -- Social Network -- Structured Spectral Clustering of PurTree Data -- Dynamic stochastic block model with scale-free characteristic for temporal complex networks -- In Good Company: Efficient Retrieval of the Top-k Most Relevant Event-Partner Pairs -- Local Experts Finding across Multiple Social Networks -- SBRNE: An Improved Unified Framework for Social and Behavior Recommendations with Network Embedding -- User Intention-based Document Summarization on Heterogeneous Sentence Networks -- Spatial -- A Hierarchical Index Structure for Region-aware Spatial Keyword Search with Edit Distance Constraint -- Collective POI Querying Based on Multiple Keywords and User Preference -- DPSCAN: Structural Graph Clustering Based on Density Peaks -- Efficient Processing of Spatial Group Preference Queries -- Reverse-Auction-Based Competitive Order Assignment for Mobile Taxi-Hailing Systems -- Top-k Spatio-Topic Query on Social Media Data -- Spatio-temporal -- A Frequency-aware Spatio-Temporal Network for Traffic Flow Prediction -- Efficient Algorithms for Solving Aggregate Keyword Routing Problems -- Perceiving Topic Bubbles: Local Topic Detection in Spatio-temporal Tweet Stream -- Real-Time Route Planning and Online Order Dispatch for Bus-Booking Platforms -- STL: Online Detection of Taxi Trajectory Anomaly based on Spatial-Temporal Laws. |
| 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 |
24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22–25, 2019, Proceedings, Part II [documento electrónico] / Li, Guoliang, ; Yang, Jun, ; Gama, João, ; Natwichai, Juggapong, ; Tong, Yongxin, . - 1 ed. . - [s.l.] : Springer, 2019 . - XXIII, 785 p. 334 ilustraciones, 195 ilustraciones en color. ISBN : 978-3-030-18579-4 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
| Palabras clave: |
Gestión de base de datos Procesamiento de datos Sistemas de almacenamiento y recuperación de información Inteligencia artificial Ciencias sociales Red de computadoras MinerÃa de datos y descubrimiento de conocimientos Almacenamiento y recuperación de información Aplicación informática en ciencias sociales y del comportamiento Redes de comunicación informática |
| Ãndice Dewey: |
005.74 Ciencia de los computadores (Archivos de datos y bases de datos) |
| Resumen: |
Este conjunto de dos volúmenes LNCS 11446 y LNCS 11447 constituye las actas arbitradas de la 24.ª Conferencia internacional sobre sistemas de bases de datos para aplicaciones avanzadas, DASFAA 2019, celebrada en Chiang Mai, Tailandia, en abril de 2019. Los 92 artÃculos completos y los 64 artÃculos breves se seleccionaron cuidadosamente de un total de 501 presentaciones. Además, se incluyen 13 artÃculos de demostración y 6 artÃculos tutoriales. Los artÃculos completos están organizados en los siguientes temas: big data; agrupamiento y clasificación; crowdsourcing; integración de datos; incrustación; gráficos; gráfico de conocimiento; aprendizaje automático; privacidad y gráfico; recomendación; red social; espacial; y espacio-temporal. Los artÃculos breves, los artÃculos de demostración y los artÃculos tutoriales se pueden encontrar en el volumen LNCS 11448, que también incluye los talleres de DASFAA 2019. |
| Nota de contenido: |
Machine Learning -- An Approach Based on Bayesian Networks for Query Selectivity Estimation -- An Exploration of Cross-Modal Retrieval for Unseen Concepts -- Continuous Patient-centric Sequence Generation via Sequentially Coupled Adversarial Learning -- DMMAM: A Deep Multi-source Multi-task Attention Model for Intensive Care Unit Diagnosis -- Learning k-Occurrence Regular Expressions with Interleaving -- Learning from User Social Relation for Document Sentiment Classification -- Reinforcement Learning to Diversify Recommendations -- Retweeting Prediction using Matrix Factorization with Binomial Distribution and Contextual Information -- Sparse Gradient Compression for Distributed SGD -- STDR: A Deep Learning Method for Travel Time Estimation -- Using Fractional Latent Topic to Enhance Recurrent Neural Network in Text Similarity Modeling -- Efficiently Mining Maximal Diverse Frequent Itemsets -- Privacy and Graph -- Efficient Local Search for Minimum Dominating Sets in Large Graphs.-Multi-level Graph Compression for Fast Reachability Detection -- Multiple Privacy Regimes Mechanism For Local Differential Privacy -- Privacy Preserving Elastic Stream Processing with Clouds using Homomorphic Encryption -- Select the Best for Me: Privacy-preserving Polynomial Evaluation Algorithm over Road Network -- Recommendation -- AdaCML: Adaptive Collaborative Metric Learning for Recommendation -- Adaptive Attention-Aware Gated Recurrent Unit for Sequential Recommendation -- Attention and Convolution Enhanced Memory Network for Sequential Recommendation -- Attention-based Neural Tag Recommender System -- Density Matrix based Preference Evolution Networks for E-commerce Recommendation -- Multi-Source Multi-Net Micro-Video Recommendation with Hidden Item Category Discovery -- Incorporating Task-oriented Representation in Text Classification -- Music Playlist Recommendation with Long Short-Term Memory -- Online Collaborative Filtering with Implicit Feedback -- Subspace Ensemble-based Neighbor User Searching for Neighborhood-based Collaborative Filtering -- Towards Both Local and Global Query Result Diversification -- Social Network -- Structured Spectral Clustering of PurTree Data -- Dynamic stochastic block model with scale-free characteristic for temporal complex networks -- In Good Company: Efficient Retrieval of the Top-k Most Relevant Event-Partner Pairs -- Local Experts Finding across Multiple Social Networks -- SBRNE: An Improved Unified Framework for Social and Behavior Recommendations with Network Embedding -- User Intention-based Document Summarization on Heterogeneous Sentence Networks -- Spatial -- A Hierarchical Index Structure for Region-aware Spatial Keyword Search with Edit Distance Constraint -- Collective POI Querying Based on Multiple Keywords and User Preference -- DPSCAN: Structural Graph Clustering Based on Density Peaks -- Efficient Processing of Spatial Group Preference Queries -- Reverse-Auction-Based Competitive Order Assignment for Mobile Taxi-Hailing Systems -- Top-k Spatio-Topic Query on Social Media Data -- Spatio-temporal -- A Frequency-aware Spatio-Temporal Network for Traffic Flow Prediction -- Efficient Algorithms for Solving Aggregate Keyword Routing Problems -- Perceiving Topic Bubbles: Local Topic Detection in Spatio-temporal Tweet Stream -- Real-Time Route Planning and Online Order Dispatch for Bus-Booking Platforms -- STL: Online Detection of Taxi Trajectory Anomaly based on Spatial-Temporal Laws. |
| 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 |
|  |
24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22–25, 2019, Proceedings, Part II
