| TÃtulo : |
30th International Conference, DEXA 2019, Linz, Austria, August 26–29, 2019, Proceedings, Part II |
| Tipo de documento: |
documento electrónico |
| Autores: |
Hartmann, Sven, ; Küng, Josef, ; Chakravarthy, Sharma, ; Anderst-Kotsis, Gabriele, ; Tjoa, A Min, ; Khalil, Ismail, |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2019 |
| Número de páginas: |
XIX, 469 p. 428 ilustraciones, 101 ilustraciones en color. |
| ISBN/ISSN/DL: |
978-3-030-27618-8 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Palabras clave: |
Procesamiento de datos Gestión de base de datos Software de la aplicacion Inteligencia artificial Protección de datos MinerÃa de datos y descubrimiento de conocimientos Aplicaciones informáticas y de sistemas de información Seguridad de datos e información |
| Ãndice Dewey: |
6.312 |
| Resumen: |
Este conjunto de dos volúmenes de LNCS 11706 y LNCS 11707 constituye las actas arbitradas de la 30.ª Conferencia Internacional sobre Aplicaciones de Sistemas Expertos y Bases de Datos, DEXA 2019, celebrada en Linz, Austria, en agosto de 2019. Los 32 artÃculos completos presentados junto con 34 artÃculos breves fueron cuidadosamente revisado y seleccionado entre 157 presentaciones. Los artÃculos están organizados en las siguientes secciones temáticas: Parte I: Gestión y análisis de Big Data; estructuras de datos y gestión de datos; gestión y procesamiento del conocimiento; autenticidad, privacidad, seguridad y confianza; coherencia, integridad, calidad de los datos; Sistemas de Soporte a la Decisión; minerÃa y almacenamiento de datos. Parte II: Bases de datos distribuidas, paralelas, P2P, grid y en la nube; recuperación de información; Web Semántica y ontologÃas; procesamiento de información; bases de datos temporales, espaciales y de alta dimensión; Descubrimiento del conocimiento; servicios web. |
| Nota de contenido: |
Distributed, Parallel, P2P, Grid and Cloud databases -- Looking into the Peak Memory Consumption of Epoch-based Reclamation in Scalable In-Memory Database Systems -- Energy Efficient Data Placement and Buffer Management for Multiple Replication -- Querying Knowledge Graphs with Natural Languages -- Explaining Query Answer Completeness and Correctness With Partition Patterns -- Information Retrieval -- Research Paper Search Using a Topic-based Boolean Query Search and a General Query-based Ranking Model -- Extractive Document Summarization using Non-negative Matrix Factorization -- Succinct BWT-based Sequence prediction -- TRR: Reducing Crowdsourcing Task Redundancy -- Software Resource Recommendation for Process Execution based on the Organization's Profile -- An Experiment to Analyze the Use of Process Modeling Guidelines to Create High-Quality Process Models -- Semantic Web and Ontologies -- Novel Node Importance Measures to Improve Keyword Search over RDF Graphs -- Querying in a Workload-aware Triplestore based on NoSQL Databases -- Reverse Partitioning for SPARQL Queries: Principles and Performance Analysis -- PFed: Recommending Plausible Federated SPARQL Queries -- Representing and Reasoning about Precise and Imprecise Time Points and Intervals in Semantic Web: Dealing with Dates and Time Clocks -- Information Processing -- Context-Aware Multi-Criteria Recommendation Based on Spectral Graph Partitioning -- SilverChunk: An Efficient In-Memory Parallel Graph Processing System -- A modular approach for efficient simple question answering over knowledge base -- Scalable Machine Learning in the R Language Using a Summarization Matrix -- ML-PipeDebugger: A Debugging Tool for Data Processing Pipelines -- Temporal, Spatial, and High Dimensional Databases -- Correlation Set Discovery on Time-series Data -- Anomaly Subsequence Detection with Dynamic Local Density for Time Series -- Trajectory Similarity Join for Spatial Temporal Database -- Knowledge Discovery -- Multiviewpoint-based Agglomerative Hierarchical Clustering -- Triplet-CSSVM: Integrating Triplet-Sampling CNN and Cost-Sensitive Classification for Imbalanced Image Detection -- Discovering Partial Periodic High Utility Itemsets in Temporal Databases -- Using Mandatory Concepts for Knowledge Discovery and Data Structuring -- Topological Data Analysis with \epsilon-net Induced Lazy Witness Complex -- Analyzing Sequence Pattern Variants in Sequential Pattern Mining and its Application to Electronic Medical Record Systems -- Web Services -- Composing Distributed Data-intensive Web services using Distance-guided Memetic Algorithm -- Keyword Search based Mashup Construction with Guaranteed Diversity -- Using EDA-Based Local Search to improve the performance of NSGA-II for Multiobjective Semantic Web Service Composition -- Adaptive Caching for Data-Intensive Scientific Workflows in the Cloud. |
| 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 |
30th International Conference, DEXA 2019, Linz, Austria, August 26–29, 2019, Proceedings, Part II [documento electrónico] / Hartmann, Sven, ; Küng, Josef, ; Chakravarthy, Sharma, ; Anderst-Kotsis, Gabriele, ; Tjoa, A Min, ; Khalil, Ismail, . - 1 ed. . - [s.l.] : Springer, 2019 . - XIX, 469 p. 428 ilustraciones, 101 ilustraciones en color. ISBN : 978-3-030-27618-8 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
| Palabras clave: |
Procesamiento de datos Gestión de base de datos Software de la aplicacion Inteligencia artificial Protección de datos MinerÃa de datos y descubrimiento de conocimientos Aplicaciones informáticas y de sistemas de información Seguridad de datos e información |
| Ãndice Dewey: |
6.312 |
| Resumen: |
Este conjunto de dos volúmenes de LNCS 11706 y LNCS 11707 constituye las actas arbitradas de la 30.ª Conferencia Internacional sobre Aplicaciones de Sistemas Expertos y Bases de Datos, DEXA 2019, celebrada en Linz, Austria, en agosto de 2019. Los 32 artÃculos completos presentados junto con 34 artÃculos breves fueron cuidadosamente revisado y seleccionado entre 157 presentaciones. Los artÃculos están organizados en las siguientes secciones temáticas: Parte I: Gestión y análisis de Big Data; estructuras de datos y gestión de datos; gestión y procesamiento del conocimiento; autenticidad, privacidad, seguridad y confianza; coherencia, integridad, calidad de los datos; Sistemas de Soporte a la Decisión; minerÃa y almacenamiento de datos. Parte II: Bases de datos distribuidas, paralelas, P2P, grid y en la nube; recuperación de información; Web Semántica y ontologÃas; procesamiento de información; bases de datos temporales, espaciales y de alta dimensión; Descubrimiento del conocimiento; servicios web. |
| Nota de contenido: |
Distributed, Parallel, P2P, Grid and Cloud databases -- Looking into the Peak Memory Consumption of Epoch-based Reclamation in Scalable In-Memory Database Systems -- Energy Efficient Data Placement and Buffer Management for Multiple Replication -- Querying Knowledge Graphs with Natural Languages -- Explaining Query Answer Completeness and Correctness With Partition Patterns -- Information Retrieval -- Research Paper Search Using a Topic-based Boolean Query Search and a General Query-based Ranking Model -- Extractive Document Summarization using Non-negative Matrix Factorization -- Succinct BWT-based Sequence prediction -- TRR: Reducing Crowdsourcing Task Redundancy -- Software Resource Recommendation for Process Execution based on the Organization's Profile -- An Experiment to Analyze the Use of Process Modeling Guidelines to Create High-Quality Process Models -- Semantic Web and Ontologies -- Novel Node Importance Measures to Improve Keyword Search over RDF Graphs -- Querying in a Workload-aware Triplestore based on NoSQL Databases -- Reverse Partitioning for SPARQL Queries: Principles and Performance Analysis -- PFed: Recommending Plausible Federated SPARQL Queries -- Representing and Reasoning about Precise and Imprecise Time Points and Intervals in Semantic Web: Dealing with Dates and Time Clocks -- Information Processing -- Context-Aware Multi-Criteria Recommendation Based on Spectral Graph Partitioning -- SilverChunk: An Efficient In-Memory Parallel Graph Processing System -- A modular approach for efficient simple question answering over knowledge base -- Scalable Machine Learning in the R Language Using a Summarization Matrix -- ML-PipeDebugger: A Debugging Tool for Data Processing Pipelines -- Temporal, Spatial, and High Dimensional Databases -- Correlation Set Discovery on Time-series Data -- Anomaly Subsequence Detection with Dynamic Local Density for Time Series -- Trajectory Similarity Join for Spatial Temporal Database -- Knowledge Discovery -- Multiviewpoint-based Agglomerative Hierarchical Clustering -- Triplet-CSSVM: Integrating Triplet-Sampling CNN and Cost-Sensitive Classification for Imbalanced Image Detection -- Discovering Partial Periodic High Utility Itemsets in Temporal Databases -- Using Mandatory Concepts for Knowledge Discovery and Data Structuring -- Topological Data Analysis with \epsilon-net Induced Lazy Witness Complex -- Analyzing Sequence Pattern Variants in Sequential Pattern Mining and its Application to Electronic Medical Record Systems -- Web Services -- Composing Distributed Data-intensive Web services using Distance-guided Memetic Algorithm -- Keyword Search based Mashup Construction with Guaranteed Diversity -- Using EDA-Based Local Search to improve the performance of NSGA-II for Multiobjective Semantic Web Service Composition -- Adaptive Caching for Data-Intensive Scientific Workflows in the Cloud. |
| 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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30th International Conference, DEXA 2019, Linz, Austria, August 26–29, 2019, Proceedings, Part II
