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Autor Zomaya, Albert |
Documentos disponibles escritos por este autor (5)
Crear una solicitud de compra Refinar búsquedaAlgorithms and Architectures for Parallel Processing / Wen, Sheng ; Zomaya, Albert ; Yang, Laurence T.
TÃtulo : Algorithms and Architectures for Parallel Processing : 19th International Conference, ICA3PP 2019, Melbourne, VIC, Australia, December 9–11, 2019, Proceedings, Part I / Tipo de documento: documento electrónico Autores: Wen, Sheng, ; Zomaya, Albert, ; Yang, Laurence T., Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XXII, 715 p. 534 ilustraciones, 191 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-38991-8 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: Matemáticas Algoritmos IngenierÃa Informática Red de computadoras Sistemas operativos (computadoras) Matemática Computacional y Análisis Numérico IngenierÃa Informática y Redes Sistemas operativos Clasificación: 518 Resumen: El conjunto de dos volúmenes LNCS 11944-11945 constituye las actas de la 19.ª Conferencia Internacional sobre Algoritmos y Arquitecturas para Procesamiento Paralelo, ICA3PP 2019, celebrada en Melbourne, Australia, en diciembre de 2019. Los 73 artÃculos completos y 29 breves presentados fueron cuidadosamente revisados ​​y seleccionado entre 251 presentaciones. Los artÃculos están organizados en secciones temáticas sobre: ​​arquitecturas paralelas y distribuidas, sistemas de software y modelos de programación, computación distribuida, paralela y basada en red, big data y sus aplicaciones, algoritmos distribuidos y paralelos, aplicaciones de computación distribuida y paralela, confiabilidad del servicio y Seguridad, Computación IoT y CPS, Modelado y Evaluación de Rendimiento. Nota de contenido: PPS: A Low-Latency and Low-Complexity switching architecture based on packet prefetch and arbitration prediction -- SWR: Using Windowed Reordering to Achieve Fast and Balanced Heuristic for Streaming Vertex-Cut Graph Partitioning -- Flexible Data Flow Architecture for Embedded Hardware Accelerators -- HBL-Sketch: a New Three-tier Sketch for Accurate Network Measurement -- Accelerating Large Integer Multiplication Using Intel AVX-512IFMA -- A Communication-Avoiding Algorithm for Molecular Dynamics Simulation -- Out-of-Core GPU-Accelerated Causal Structure Learning -- Accelerating Lattice Boltzmann Method by Fully Exposing Vectorizable Loops -- A Solution for High Availability Memory Access -- Verication of Microservices Using Metamorphic Testing -- A New Robust and Reversible Watermarking Technique Based on Erasure Code -- Exit-Less Hypercall: Asynchronous System Calls in Virtualized Processes -- Automatic Optimization of Python Skeletal Parallel Programs -- Distributed & Parallel & Network-basedComputing Impromptu Rendezvous Based Multi-Threaded Algorithm for Shortest Lagrangian Path Problem on Road Networks -- FANG: Fast and E cient Successor-State Generation for Heuristic Optimization on GPUs -- DETER: Streaming Graph Partitioning via Combined Degree and Cluster Information -- Which Node Properties Identify the Propagation Source in Networks? -- t/t-Diagnosability of BCube Network -- Strark-H: A Strategy for Spatial Data Storage to Improve Query Efficiency Based on Spark -- Multitask Assignment Algorithm Based on Decision Tree in Spatial Crowdsourcing Environment -- TIMOM: a novel time in uence multi-objective optimization cloud data storage model for business process management -- RTEF-PP: A Robust Trust Evaluation Framework with Privacy Protection for Cloud Services Providers -- A Privacy-Preserving Access Control Scheme with Veri able and Outsourcing Capabilities in Fog-Cloud Computing -- Utility-aware Edge Server Deployment in Mobile Edge Computing -- Predicting Hard Drive Failures for Cloud Storage Systems -- Efficient Pattern Matching on CPU-GPU Heterogeneous Systems -- Improving Performance of Batch Point-to-point Communications by Active Contention Reduction through Congestion-avoiding Message Scheduling -- Applications of Distributed & Parallel Computing -- An Open Identity Authentication Scheme Based on Blockchain -- RBAC-GLA role-based access control gasless architecture of consortium blockchain -- Developing Patrol Strategies for the Cooperative Opportunistic Criminals -- Deep Learning vs. Traditional Probabilistic Models: Case Study on Short Inputs for Password Guessing. . Tipo de medio : Computadora Summary : The two-volume set LNCS 11944-11945 constitutes the proceedings of the 19th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2019, held in Melbourne, Australia, in December 2019. The 73 full and 29 short papers presented were carefully reviewed and selected from 251 submissions. The papers are organized in topical sections on: Parallel and Distributed Architectures, Software Systems and Programming Models, Distributed and Parallel and Network-based Computing, Big Data and its Applications, Distributed and Parallel Algorithms, Applications of Distributed and Parallel Computing, Service Dependability and Security, IoT and CPS Computing, Performance Modelling and Evaluation. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Algorithms and Architectures for Parallel Processing : 19th International Conference, ICA3PP 2019, Melbourne, VIC, Australia, December 9–11, 2019, Proceedings, Part I / [documento electrónico] / Wen, Sheng, ; Zomaya, Albert, ; Yang, Laurence T., . - 1 ed. . - [s.l.] : Springer, 2020 . - XXII, 715 p. 534 ilustraciones, 191 ilustraciones en color.
ISBN : 978-3-030-38991-8
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: Matemáticas Algoritmos IngenierÃa Informática Red de computadoras Sistemas operativos (computadoras) Matemática Computacional y Análisis Numérico IngenierÃa Informática y Redes Sistemas operativos Clasificación: 518 Resumen: El conjunto de dos volúmenes LNCS 11944-11945 constituye las actas de la 19.ª Conferencia Internacional sobre Algoritmos y Arquitecturas para Procesamiento Paralelo, ICA3PP 2019, celebrada en Melbourne, Australia, en diciembre de 2019. Los 73 artÃculos completos y 29 breves presentados fueron cuidadosamente revisados ​​y seleccionado entre 251 presentaciones. Los artÃculos están organizados en secciones temáticas sobre: ​​arquitecturas paralelas y distribuidas, sistemas de software y modelos de programación, computación distribuida, paralela y basada en red, big data y sus aplicaciones, algoritmos distribuidos y paralelos, aplicaciones de computación distribuida y paralela, confiabilidad del servicio y Seguridad, Computación IoT y CPS, Modelado y Evaluación de Rendimiento. Nota de contenido: PPS: A Low-Latency and Low-Complexity switching architecture based on packet prefetch and arbitration prediction -- SWR: Using Windowed Reordering to Achieve Fast and Balanced Heuristic for Streaming Vertex-Cut Graph Partitioning -- Flexible Data Flow Architecture for Embedded Hardware Accelerators -- HBL-Sketch: a New Three-tier Sketch for Accurate Network Measurement -- Accelerating Large Integer Multiplication Using Intel AVX-512IFMA -- A Communication-Avoiding Algorithm for Molecular Dynamics Simulation -- Out-of-Core GPU-Accelerated Causal Structure Learning -- Accelerating Lattice Boltzmann Method by Fully Exposing Vectorizable Loops -- A Solution for High Availability Memory Access -- Verication of Microservices Using Metamorphic Testing -- A New Robust and Reversible Watermarking Technique Based on Erasure Code -- Exit-Less Hypercall: Asynchronous System Calls in Virtualized Processes -- Automatic Optimization of Python Skeletal Parallel Programs -- Distributed & Parallel & Network-basedComputing Impromptu Rendezvous Based Multi-Threaded Algorithm for Shortest Lagrangian Path Problem on Road Networks -- FANG: Fast and E cient Successor-State Generation for Heuristic Optimization on GPUs -- DETER: Streaming Graph Partitioning via Combined Degree and Cluster Information -- Which Node Properties Identify the Propagation Source in Networks? -- t/t-Diagnosability of BCube Network -- Strark-H: A Strategy for Spatial Data Storage to Improve Query Efficiency Based on Spark -- Multitask Assignment Algorithm Based on Decision Tree in Spatial Crowdsourcing Environment -- TIMOM: a novel time in uence multi-objective optimization cloud data storage model for business process management -- RTEF-PP: A Robust Trust Evaluation Framework with Privacy Protection for Cloud Services Providers -- A Privacy-Preserving Access Control Scheme with Veri able and Outsourcing Capabilities in Fog-Cloud Computing -- Utility-aware Edge Server Deployment in Mobile Edge Computing -- Predicting Hard Drive Failures for Cloud Storage Systems -- Efficient Pattern Matching on CPU-GPU Heterogeneous Systems -- Improving Performance of Batch Point-to-point Communications by Active Contention Reduction through Congestion-avoiding Message Scheduling -- Applications of Distributed & Parallel Computing -- An Open Identity Authentication Scheme Based on Blockchain -- RBAC-GLA role-based access control gasless architecture of consortium blockchain -- Developing Patrol Strategies for the Cooperative Opportunistic Criminals -- Deep Learning vs. Traditional Probabilistic Models: Case Study on Short Inputs for Password Guessing. . Tipo de medio : Computadora Summary : The two-volume set LNCS 11944-11945 constitutes the proceedings of the 19th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2019, held in Melbourne, Australia, in December 2019. The 73 full and 29 short papers presented were carefully reviewed and selected from 251 submissions. The papers are organized in topical sections on: Parallel and Distributed Architectures, Software Systems and Programming Models, Distributed and Parallel and Network-based Computing, Big Data and its Applications, Distributed and Parallel Algorithms, Applications of Distributed and Parallel Computing, Service Dependability and Security, IoT and CPS Computing, Performance Modelling and Evaluation. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Algorithms and Architectures for Parallel Processing : 19th International Conference, ICA3PP 2019, Melbourne, VIC, Australia, December 9–11, 2019, Proceedings, Part II / Tipo de documento: documento electrónico Autores: Wen, Sheng, ; Zomaya, Albert, ; Yang, Laurence T., Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XXI, 699 p. 297 ilustraciones, 245 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-38961-1 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: Matemáticas Algoritmos IngenierÃa Informática Red de computadoras Sistemas operativos (computadoras) Matemática Computacional y Análisis Numérico IngenierÃa Informática y Redes Sistemas operativos Clasificación: 518 Resumen: El conjunto de dos volúmenes LNCS 11944-11945 constituye las actas de la 19.ª Conferencia Internacional sobre Algoritmos y Arquitecturas para Procesamiento Paralelo, ICA3PP 2019, celebrada en Melbourne, Australia, en diciembre de 2019. Los 73 artÃculos completos y 29 breves presentados fueron cuidadosamente revisados ​​y seleccionado entre 251 presentaciones. Los artÃculos están organizados en secciones temáticas sobre: ​​arquitecturas paralelas y distribuidas, sistemas de software y modelos de programación, computación distribuida, paralela y basada en red, big data y sus aplicaciones, algoritmos distribuidos y paralelos, aplicaciones de computación distribuida y paralela, confiabilidad del servicio y Seguridad, Computación IoT y CPS, Modelado y Evaluación de Rendimiento. Nota de contenido: PPS: A Low-Latency and Low-Complexity switching architecture based on packet prefetch and arbitration prediction -- SWR: Using Windowed Reordering to Achieve Fast and Balanced Heuristic for Streaming Vertex-Cut Graph Partitioning -- Flexible Data Flow Architecture for Embedded Hardware Accelerators -- HBL-Sketch: a New Three-tier Sketch for Accurate Network Measurement -- Accelerating Large Integer Multiplication Using Intel AVX-512IFMA -- A Communication-Avoiding Algorithm for Molecular Dynamics Simulation -- Out-of-Core GPU-Accelerated Causal Structure Learning -- Accelerating Lattice Boltzmann Method by Fully Exposing Vectorizable Loops -- A Solution for High Availability Memory Access -- Verication of Microservices Using Metamorphic Testing -- A New Robust and Reversible Watermarking Technique Based on Erasure Code -- Exit-Less Hypercall: Asynchronous System Calls in Virtualized Processes -- Automatic Optimization of Python Skeletal Parallel Programs -- Distributed & Parallel & Network-based Computing Impromptu Rendezvous Based Multi-Threaded Algorithm for Shortest Lagrangian Path Problem on Road Networks -- FANG: Fast and E cient Successor-State Generation for Heuristic Optimization on GPUs -- DETER: Streaming Graph Partitioning via Combined Degree and Cluster Information -- Which Node Properties Identify the Propagation Source in Networks? -- t/t-Diagnosability of BCube Network -- Strark-H: A Strategy for Spatial Data Storage to Improve Query Efficiency Based on Spark -- Multitask Assignment Algorithm Based on Decision Tree in Spatial Crowdsourcing Environment -- TIMOM: a novel time in uence multi-objective optimization cloud data storage model for business process management -- RTEF-PP: A Robust Trust Evaluation Framework with Privacy Protection for Cloud Services Providers -- A Privacy-Preserving Access Control Scheme with Veri able and Outsourcing Capabilities in Fog-Cloud Computing -- Utility-aware Edge Server Deployment in Mobile Edge Computing -- Predicting Hard Drive Failures for Cloud Storage Systems -- Efficient Pattern Matching on CPU-GPU Heterogeneous Systems -- Improving Performance of Batch Point-to-point Communications by Active Contention Reduction through Congestion-avoiding Message Scheduling -- Applications of Distributed & Parallel Computing -- An Open Identity Authentication Scheme Based on Blockchain -- RBAC-GLA role-based access control gasless architecture of consortium blockchain -- Developing Patrol Strategies for the Cooperative Opportunistic Criminals -- Deep Learning vs. Traditional Probabilistic Models: Case Study on Short Inputs for Password Guessing. . Tipo de medio : Computadora Summary : The two-volume set LNCS 11944-11945 constitutes the proceedings of the 19th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2019, held in Melbourne, Australia, in December 2019. The 73 full and 29 short papers presented were carefully reviewed and selected from 251 submissions. The papers are organized in topical sections on: Parallel and Distributed Architectures, Software Systems and Programming Models, Distributed and Parallel and Network-based Computing, Big Data and its Applications, Distributed and Parallel Algorithms, Applications of Distributed and Parallel Computing, Service Dependability and Security, IoT and CPS Computing, Performance Modelling and Evaluation. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Algorithms and Architectures for Parallel Processing : 19th International Conference, ICA3PP 2019, Melbourne, VIC, Australia, December 9–11, 2019, Proceedings, Part II / [documento electrónico] / Wen, Sheng, ; Zomaya, Albert, ; Yang, Laurence T., . - 1 ed. . - [s.l.] : Springer, 2020 . - XXI, 699 p. 297 ilustraciones, 245 ilustraciones en color.
ISBN : 978-3-030-38961-1
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: Matemáticas Algoritmos IngenierÃa Informática Red de computadoras Sistemas operativos (computadoras) Matemática Computacional y Análisis Numérico IngenierÃa Informática y Redes Sistemas operativos Clasificación: 518 Resumen: El conjunto de dos volúmenes LNCS 11944-11945 constituye las actas de la 19.ª Conferencia Internacional sobre Algoritmos y Arquitecturas para Procesamiento Paralelo, ICA3PP 2019, celebrada en Melbourne, Australia, en diciembre de 2019. Los 73 artÃculos completos y 29 breves presentados fueron cuidadosamente revisados ​​y seleccionado entre 251 presentaciones. Los artÃculos están organizados en secciones temáticas sobre: ​​arquitecturas paralelas y distribuidas, sistemas de software y modelos de programación, computación distribuida, paralela y basada en red, big data y sus aplicaciones, algoritmos distribuidos y paralelos, aplicaciones de computación distribuida y paralela, confiabilidad del servicio y Seguridad, Computación IoT y CPS, Modelado y Evaluación de Rendimiento. Nota de contenido: PPS: A Low-Latency and Low-Complexity switching architecture based on packet prefetch and arbitration prediction -- SWR: Using Windowed Reordering to Achieve Fast and Balanced Heuristic for Streaming Vertex-Cut Graph Partitioning -- Flexible Data Flow Architecture for Embedded Hardware Accelerators -- HBL-Sketch: a New Three-tier Sketch for Accurate Network Measurement -- Accelerating Large Integer Multiplication Using Intel AVX-512IFMA -- A Communication-Avoiding Algorithm for Molecular Dynamics Simulation -- Out-of-Core GPU-Accelerated Causal Structure Learning -- Accelerating Lattice Boltzmann Method by Fully Exposing Vectorizable Loops -- A Solution for High Availability Memory Access -- Verication of Microservices Using Metamorphic Testing -- A New Robust and Reversible Watermarking Technique Based on Erasure Code -- Exit-Less Hypercall: Asynchronous System Calls in Virtualized Processes -- Automatic Optimization of Python Skeletal Parallel Programs -- Distributed & Parallel & Network-based Computing Impromptu Rendezvous Based Multi-Threaded Algorithm for Shortest Lagrangian Path Problem on Road Networks -- FANG: Fast and E cient Successor-State Generation for Heuristic Optimization on GPUs -- DETER: Streaming Graph Partitioning via Combined Degree and Cluster Information -- Which Node Properties Identify the Propagation Source in Networks? -- t/t-Diagnosability of BCube Network -- Strark-H: A Strategy for Spatial Data Storage to Improve Query Efficiency Based on Spark -- Multitask Assignment Algorithm Based on Decision Tree in Spatial Crowdsourcing Environment -- TIMOM: a novel time in uence multi-objective optimization cloud data storage model for business process management -- RTEF-PP: A Robust Trust Evaluation Framework with Privacy Protection for Cloud Services Providers -- A Privacy-Preserving Access Control Scheme with Veri able and Outsourcing Capabilities in Fog-Cloud Computing -- Utility-aware Edge Server Deployment in Mobile Edge Computing -- Predicting Hard Drive Failures for Cloud Storage Systems -- Efficient Pattern Matching on CPU-GPU Heterogeneous Systems -- Improving Performance of Batch Point-to-point Communications by Active Contention Reduction through Congestion-avoiding Message Scheduling -- Applications of Distributed & Parallel Computing -- An Open Identity Authentication Scheme Based on Blockchain -- RBAC-GLA role-based access control gasless architecture of consortium blockchain -- Developing Patrol Strategies for the Cooperative Opportunistic Criminals -- Deep Learning vs. Traditional Probabilistic Models: Case Study on Short Inputs for Password Guessing. . Tipo de medio : Computadora Summary : The two-volume set LNCS 11944-11945 constitutes the proceedings of the 19th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2019, held in Melbourne, Australia, in December 2019. The 73 full and 29 short papers presented were carefully reviewed and selected from 251 submissions. The papers are organized in topical sections on: Parallel and Distributed Architectures, Software Systems and Programming Models, Distributed and Parallel and Network-based Computing, Big Data and its Applications, Distributed and Parallel Algorithms, Applications of Distributed and Parallel Computing, Service Dependability and Security, IoT and CPS Computing, Performance Modelling and Evaluation. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Data Mining and Big Data : 6th International Conference, DMBD 2021, Guangzhou, China, October 20–22, 2021, Proceedings, Part I / Tipo de documento: documento electrónico Autores: Tan, Ying, ; Shi, Yuhui, ; Zomaya, Albert, ; Yan, Hongyang, ; Cai, Jun, Mención de edición: 1 ed. Editorial: Singapore [Malasia] : Springer Fecha de publicación: 2021 Número de páginas: XVIII, 501 p. 76 ilustraciones ISBN/ISSN/DL: 978-981-1674761-- 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: Software de la aplicacion Inteligencia artificial Red de computadoras Procesamiento de imágenes Visión por computador Aplicaciones informáticas y de sistemas de información Redes de comunicación informática Imágenes por computadora visión reconocimiento de patrones y gráficos Clasificación: 005.3 Ciencia de los computadores (Programas) Resumen: Este conjunto de dos volúmenes, CCIS 1453 y CCIS 1454, constituye actas arbitradas de la 6.ª Conferencia Internacional sobre MinerÃa de Datos y Big Data, DMBD 2021, celebrada en Guangzhou, China, en octubre de 2021. Los 57 artÃculos completos y 28 artÃculos breves presentados en Este conjunto de dos volúmenes fue cuidadosamente revisado y seleccionado entre 258 presentaciones. Los artÃculos presentan las últimas investigaciones sobre las ventajas de las teorÃas, tecnologÃas y aplicaciones en minerÃa de datos y big data. El volumen cubre muchos aspectos de la minerÃa de datos y big data, asà como métodos de computación inteligente aplicados a todos los campos de la informática, el aprendizaje automático, la minerÃa de datos y el descubrimiento de conocimientos, la ciencia de datos, etc. Nota de contenido: BSMRL: Bribery Selfish Mining with Reinforcement Learning -- The Theoretical Analysis of Multi-dividing Ontology Learning by Rademacher Vector -- A Group Blind Signature Scheme for Privacy Protection of Power Big Data in Smart Grid -- MB Based Multi-dividing Ontology Learning Trick -- Application of LSTM model optimized based on adaptive genetic algorithm in stock forecasting -- A Network based Quantitative Method for the Mining and Visualization of Music Influence -- Research on Off-path Exploits of Network Protocols -- Building A Covert Timing Channel over VoIP via Packet Length -- Bone marrow cell segmentation based on improved U-Net -- An improved unsupervised white blood cell classification via contrastive learning -- High-altitude pedestrian detection based on improved YOLOv3 -- Automatic Identification for Projector Brand and Model Number -- SC-VDM: A Lightweight Smart Contract Vulnerability Detection Model -- Intrusion detection based on GA-XGB Algorithm -- A video axle counting and type recognition method based on improved YOLOv5S -- An anonymous communication scheme between nodes based on pseudonym and bilinear pairing in big data environments -- A Novel Complex Pignistic Belief Transform for Conflict Measure in Complex Evidence Theory -- A secure aggregation routing protocol with authentication and energy-saving on data mining and big data -- Enity relation extraction of industrial robot PHM based on BiLSTM-CRF and multi-head selection -- An Agricultural Traceability Permissioned Blockchain with Privacy-aware -- Trust Evaluation Mechanism of Service Nodes Based on Blockchain -- Irregular Flight Timetable Recovery under COVID-19: An Approach Based on Genetic Algorithm -- A Transfer Learning Method Based on ResNet Model -- Performance Prediction and Fine-grained Resource Provision of Virtual Machines via LightGBM -- A Semantic Retrieval Method Based on the Knowledge Graph of Ethnic Clothing Culture -- Fine-grained Semantic Segmentation of National Costume Grayscale Image Based on Human Parsing -- Named Entity Recognition of Wa Cultural Information Resources Based on Attention Mechanism -- Semantic Similarity Retrieval System Based on The Chinese Minority Dictionary Wa Volume -- Short-term Traffic Condition Prediction based on Multi[1]source Data Fusion -- Chinese Named Entity Recognition Incorporating Multi-scale Features -- Analysis on the Strategies of Information Technology to Improve Autonomous Learning in Higher Vocational English Teaching -- A Data Model Construction Method Based on the Questionnaire Survey -- Automatic Coloring Method for Ethnic Costume Sketch based on Pix2Pix Network -- Multi-Model Fusion Based NOx Emission Prediction For Power Plant Boilers -- Multi-axis industrial robot fault diagnosis model based on improved one-dimensional convolutional neural network -- Prediction of Oil Temperature for Transformers Using Gated Recurrent Unit -- Towards Making More Reliable Cardiotocogram Data Prediction with Limited Expert Knowledge: Exploiting Unlabeled Data with Semi-supervised Boosting Method -- A label propagation algorithm combining eigenvector centrality and label entropy -- MI-HGRU: A Combine Method of Mutual Information and HGRU Neural Network for Boiler NOx Emission Prediction -- An MOEA/D-ACO Algorithm with finite pheromone weights for Bi-objective TTP -- Lightweight Object Tracking Algorithm based on Siamese Network with Efficient Attention. Tipo de medio : Computadora Summary : This two-volume set, CCIS 1453 and CCIS 1454, constitutes refereed proceedings of the 6th International Conference on Data Mining and Big Data, DMBD 2021, held in Guangzhou, China, in October 2021. The 57 full papers and 28 short papers presented in this two-volume set were carefully reviewed and selected from 258 submissions. The papers present the latest research on advantages in theories, technologies, and applications in data mining and big data. The volume covers many aspects of data mining and big data as well as intelligent computing methods applied to all fields of computer science, machine learning, data mining and knowledge discovery, data science, etc. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Data Mining and Big Data : 6th International Conference, DMBD 2021, Guangzhou, China, October 20–22, 2021, Proceedings, Part I / [documento electrónico] / Tan, Ying, ; Shi, Yuhui, ; Zomaya, Albert, ; Yan, Hongyang, ; Cai, Jun, . - 1 ed. . - Singapore [Malasia] : Springer, 2021 . - XVIII, 501 p. 76 ilustraciones.
ISBN : 978-981-1674761--
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: Software de la aplicacion Inteligencia artificial Red de computadoras Procesamiento de imágenes Visión por computador Aplicaciones informáticas y de sistemas de información Redes de comunicación informática Imágenes por computadora visión reconocimiento de patrones y gráficos Clasificación: 005.3 Ciencia de los computadores (Programas) Resumen: Este conjunto de dos volúmenes, CCIS 1453 y CCIS 1454, constituye actas arbitradas de la 6.ª Conferencia Internacional sobre MinerÃa de Datos y Big Data, DMBD 2021, celebrada en Guangzhou, China, en octubre de 2021. Los 57 artÃculos completos y 28 artÃculos breves presentados en Este conjunto de dos volúmenes fue cuidadosamente revisado y seleccionado entre 258 presentaciones. Los artÃculos presentan las últimas investigaciones sobre las ventajas de las teorÃas, tecnologÃas y aplicaciones en minerÃa de datos y big data. El volumen cubre muchos aspectos de la minerÃa de datos y big data, asà como métodos de computación inteligente aplicados a todos los campos de la informática, el aprendizaje automático, la minerÃa de datos y el descubrimiento de conocimientos, la ciencia de datos, etc. Nota de contenido: BSMRL: Bribery Selfish Mining with Reinforcement Learning -- The Theoretical Analysis of Multi-dividing Ontology Learning by Rademacher Vector -- A Group Blind Signature Scheme for Privacy Protection of Power Big Data in Smart Grid -- MB Based Multi-dividing Ontology Learning Trick -- Application of LSTM model optimized based on adaptive genetic algorithm in stock forecasting -- A Network based Quantitative Method for the Mining and Visualization of Music Influence -- Research on Off-path Exploits of Network Protocols -- Building A Covert Timing Channel over VoIP via Packet Length -- Bone marrow cell segmentation based on improved U-Net -- An improved unsupervised white blood cell classification via contrastive learning -- High-altitude pedestrian detection based on improved YOLOv3 -- Automatic Identification for Projector Brand and Model Number -- SC-VDM: A Lightweight Smart Contract Vulnerability Detection Model -- Intrusion detection based on GA-XGB Algorithm -- A video axle counting and type recognition method based on improved YOLOv5S -- An anonymous communication scheme between nodes based on pseudonym and bilinear pairing in big data environments -- A Novel Complex Pignistic Belief Transform for Conflict Measure in Complex Evidence Theory -- A secure aggregation routing protocol with authentication and energy-saving on data mining and big data -- Enity relation extraction of industrial robot PHM based on BiLSTM-CRF and multi-head selection -- An Agricultural Traceability Permissioned Blockchain with Privacy-aware -- Trust Evaluation Mechanism of Service Nodes Based on Blockchain -- Irregular Flight Timetable Recovery under COVID-19: An Approach Based on Genetic Algorithm -- A Transfer Learning Method Based on ResNet Model -- Performance Prediction and Fine-grained Resource Provision of Virtual Machines via LightGBM -- A Semantic Retrieval Method Based on the Knowledge Graph of Ethnic Clothing Culture -- Fine-grained Semantic Segmentation of National Costume Grayscale Image Based on Human Parsing -- Named Entity Recognition of Wa Cultural Information Resources Based on Attention Mechanism -- Semantic Similarity Retrieval System Based on The Chinese Minority Dictionary Wa Volume -- Short-term Traffic Condition Prediction based on Multi[1]source Data Fusion -- Chinese Named Entity Recognition Incorporating Multi-scale Features -- Analysis on the Strategies of Information Technology to Improve Autonomous Learning in Higher Vocational English Teaching -- A Data Model Construction Method Based on the Questionnaire Survey -- Automatic Coloring Method for Ethnic Costume Sketch based on Pix2Pix Network -- Multi-Model Fusion Based NOx Emission Prediction For Power Plant Boilers -- Multi-axis industrial robot fault diagnosis model based on improved one-dimensional convolutional neural network -- Prediction of Oil Temperature for Transformers Using Gated Recurrent Unit -- Towards Making More Reliable Cardiotocogram Data Prediction with Limited Expert Knowledge: Exploiting Unlabeled Data with Semi-supervised Boosting Method -- A label propagation algorithm combining eigenvector centrality and label entropy -- MI-HGRU: A Combine Method of Mutual Information and HGRU Neural Network for Boiler NOx Emission Prediction -- An MOEA/D-ACO Algorithm with finite pheromone weights for Bi-objective TTP -- Lightweight Object Tracking Algorithm based on Siamese Network with Efficient Attention. Tipo de medio : Computadora Summary : This two-volume set, CCIS 1453 and CCIS 1454, constitutes refereed proceedings of the 6th International Conference on Data Mining and Big Data, DMBD 2021, held in Guangzhou, China, in October 2021. The 57 full papers and 28 short papers presented in this two-volume set were carefully reviewed and selected from 258 submissions. The papers present the latest research on advantages in theories, technologies, and applications in data mining and big data. The volume covers many aspects of data mining and big data as well as intelligent computing methods applied to all fields of computer science, machine learning, data mining and knowledge discovery, data science, etc. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Data Mining and Big Data : 6th International Conference, DMBD 2021, Guangzhou, China, October 20–22, 2021, Proceedings, Part II / Tipo de documento: documento electrónico Autores: Tan, Ying, ; Shi, Yuhui, ; Zomaya, Albert, ; Yan, Hongyang, ; Cai, Jun, Mención de edición: 1 ed. Editorial: Singapore [Malasia] : Springer Fecha de publicación: 2021 Número de páginas: XVIII, 501 p. 219 ilustraciones, 173 ilustraciones en color. ISBN/ISSN/DL: 978-981-1675027-- 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: Software de la aplicacion Red de computadoras Inteligencia artificial Protección de datos Aplicaciones informáticas y de sistemas de información Redes de comunicación informática Seguridad de datos e información Clasificación: 005.3 Ciencia de los computadores (Programas) Resumen: Este conjunto de dos volúmenes, CCIS 1453 y CCIS 1454, constituye actas arbitradas de la 6.ª Conferencia Internacional sobre MinerÃa de Datos y Big Data, DMBD 2021, celebrada en Guangzhou, China, en octubre de 2021. Los 57 artÃculos completos y 28 artÃculos breves presentados en Este conjunto de dos volúmenes fue cuidadosamente revisado y seleccionado entre 258 presentaciones. Los artÃculos presentan las últimas investigaciones sobre las ventajas de las teorÃas, tecnologÃas y aplicaciones en minerÃa de datos y big data. El volumen cubre muchos aspectos de la minerÃa de datos y big data, asà como métodos de computación inteligente aplicados a todos los campos de la informática, el aprendizaje automático, la minerÃa de datos y el descubrimiento de conocimientos, la ciencia de datos, etc. Nota de contenido: A life prediction method for power supply in rail transit signal system under variable temperature conditions -- Hypergraph Ontology Sparse Vector Representation and Its Application to Ontology Learning -- On-line Firmware Updating and Fingerprint Generating for Solid State Disks -- Feature Map Transfer: Vertical Federated Learning for CNN Models -- A Random Multi-target Backdooring Attack on Deep Neural Networks -- Intelligent Attack Behavior Portrait For Path Planning Of Unmanned Vehicles -- Anti Intelligent Mine Unmanned Ground Vehicle Based on Reinforcement Learning -- A surface fitting image super-resolution algorithm based on triangle mesh partition -- Image Definition Evaluation Function Based on Improved Maximum Local Variation and Focusing Window Selection -- A classic multi-method collaborative obfuscation strategy -- The construction of knowledge graph for personalized online teaching -- A BP neural network prediction method based on multi-strategy improved sparrow search algorithm -- LDA topic mining of light food customer reviews on the Meituan platform -- MIFNet:A Lightweight Multi-scale Information Fusion Network -- Intrusion Detection Method Based on Small Sample Learning -- Research on Hierarchical Retrieval Method of Ethnic Clothing Based on Semantic Feature Fusion -- An Improved Method of Blockchain Consortium Chain Consensus Mechanism Based on Random Forest Model -- Traceable Identity-Based Ring Signature for Protecting Mobile IoT Devices -- BSO-CMA-ES: Brain Storm Optimization Based Covariance Matrix Adaptation Evolution Strategy for Multimodal Optimization -- A Generalized χ2 Divergence for Multisource Information Fusion -- Certificateless proxy authentication scheme on lattices under the background of big data -- A Privacy-Preserving Anime Recommendation Method on Distributed Platform -- Compound fault diagnosis of industrial robot based on improved multi-label one-dimensional convolutional neural network -- A Class Imbalance Monitoring Model for Fetal Heart Contractions Based on Gradient Boosting Decision Tree Ensemble Learning -- A lattice-based anonymous authentication for privacy protection of medical data -- Defend against poisoning attacks in federated learning -- SOBC: A Smart Ocean Oriented Blockchain System for Cross-organizational Data Sharing -- Personalized Recommendation System of Web Academic Information Based on Big Data and Quality Monitoring Technology -- Population Learning based Memetic Algorithm for Community Detection in Complex Networks -- An Improved Bacterial Foraging Optimization for Global Optimization -- A security data sharing model for cloud network -- A Dynamic Compression Method for Database Backup Files in Cloud Environments -- Research on Fault Detection and Diagnosis Method of Diesel Engine Air System Based on Deep Learning -- A Multi-objective Structure Variant Bacterial Heuristic Feature Selection Method in High-dimensional Data Classification -- FAA Transition Away From Radar and Towards ADS-B Aircraft Communication-Based on Accuracy -- A New Contingency Axiomatic System For Rough sets -- Health index construction and remaining useful life prediction of mechanical axis based on action cycle similarity -- Approximation Relation For Rough Sets -- The effect of organizational learning ability on innovative behavior of scientific research personnel in universities -- ABAC: Anonymous Bilateral Access Control Protocol with Traceability for Fog-Assisted Mobile Crowdsensing -- Sector Error-Oriented Durability-Aware Fast Repair in Erasure-Coded Cloud Storage Systems -- ACT: anonymous consensus based on Tor -- Medical Image Fusion Based on Undecimated Dual-tree Complex Wavelet Transform and NSCT -- A Multi-branch Ensemble Agent Network for Multi-Agent Reinforcement Learning. Tipo de medio : Computadora Summary : This two-volume set, CCIS 1453 and CCIS 1454, constitutes refereed proceedings of the 6th International Conference on Data Mining and Big Data, DMBD 2021, held in Guangzhou, China, in October 2021. The 57 full papers and 28 short papers presented in this two-volume set were carefully reviewed and selected from 258 submissions. The papers present the latest research on advantages in theories, technologies, and applications in data mining and big data. The volume covers many aspects of data mining and big data as well as intelligent computing methods applied to all fields of computer science, machine learning, data mining and knowledge discovery, data science, etc. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Data Mining and Big Data : 6th International Conference, DMBD 2021, Guangzhou, China, October 20–22, 2021, Proceedings, Part II / [documento electrónico] / Tan, Ying, ; Shi, Yuhui, ; Zomaya, Albert, ; Yan, Hongyang, ; Cai, Jun, . - 1 ed. . - Singapore [Malasia] : Springer, 2021 . - XVIII, 501 p. 219 ilustraciones, 173 ilustraciones en color.
ISBN : 978-981-1675027--
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: Software de la aplicacion Red de computadoras Inteligencia artificial Protección de datos Aplicaciones informáticas y de sistemas de información Redes de comunicación informática Seguridad de datos e información Clasificación: 005.3 Ciencia de los computadores (Programas) Resumen: Este conjunto de dos volúmenes, CCIS 1453 y CCIS 1454, constituye actas arbitradas de la 6.ª Conferencia Internacional sobre MinerÃa de Datos y Big Data, DMBD 2021, celebrada en Guangzhou, China, en octubre de 2021. Los 57 artÃculos completos y 28 artÃculos breves presentados en Este conjunto de dos volúmenes fue cuidadosamente revisado y seleccionado entre 258 presentaciones. Los artÃculos presentan las últimas investigaciones sobre las ventajas de las teorÃas, tecnologÃas y aplicaciones en minerÃa de datos y big data. El volumen cubre muchos aspectos de la minerÃa de datos y big data, asà como métodos de computación inteligente aplicados a todos los campos de la informática, el aprendizaje automático, la minerÃa de datos y el descubrimiento de conocimientos, la ciencia de datos, etc. Nota de contenido: A life prediction method for power supply in rail transit signal system under variable temperature conditions -- Hypergraph Ontology Sparse Vector Representation and Its Application to Ontology Learning -- On-line Firmware Updating and Fingerprint Generating for Solid State Disks -- Feature Map Transfer: Vertical Federated Learning for CNN Models -- A Random Multi-target Backdooring Attack on Deep Neural Networks -- Intelligent Attack Behavior Portrait For Path Planning Of Unmanned Vehicles -- Anti Intelligent Mine Unmanned Ground Vehicle Based on Reinforcement Learning -- A surface fitting image super-resolution algorithm based on triangle mesh partition -- Image Definition Evaluation Function Based on Improved Maximum Local Variation and Focusing Window Selection -- A classic multi-method collaborative obfuscation strategy -- The construction of knowledge graph for personalized online teaching -- A BP neural network prediction method based on multi-strategy improved sparrow search algorithm -- LDA topic mining of light food customer reviews on the Meituan platform -- MIFNet:A Lightweight Multi-scale Information Fusion Network -- Intrusion Detection Method Based on Small Sample Learning -- Research on Hierarchical Retrieval Method of Ethnic Clothing Based on Semantic Feature Fusion -- An Improved Method of Blockchain Consortium Chain Consensus Mechanism Based on Random Forest Model -- Traceable Identity-Based Ring Signature for Protecting Mobile IoT Devices -- BSO-CMA-ES: Brain Storm Optimization Based Covariance Matrix Adaptation Evolution Strategy for Multimodal Optimization -- A Generalized χ2 Divergence for Multisource Information Fusion -- Certificateless proxy authentication scheme on lattices under the background of big data -- A Privacy-Preserving Anime Recommendation Method on Distributed Platform -- Compound fault diagnosis of industrial robot based on improved multi-label one-dimensional convolutional neural network -- A Class Imbalance Monitoring Model for Fetal Heart Contractions Based on Gradient Boosting Decision Tree Ensemble Learning -- A lattice-based anonymous authentication for privacy protection of medical data -- Defend against poisoning attacks in federated learning -- SOBC: A Smart Ocean Oriented Blockchain System for Cross-organizational Data Sharing -- Personalized Recommendation System of Web Academic Information Based on Big Data and Quality Monitoring Technology -- Population Learning based Memetic Algorithm for Community Detection in Complex Networks -- An Improved Bacterial Foraging Optimization for Global Optimization -- A security data sharing model for cloud network -- A Dynamic Compression Method for Database Backup Files in Cloud Environments -- Research on Fault Detection and Diagnosis Method of Diesel Engine Air System Based on Deep Learning -- A Multi-objective Structure Variant Bacterial Heuristic Feature Selection Method in High-dimensional Data Classification -- FAA Transition Away From Radar and Towards ADS-B Aircraft Communication-Based on Accuracy -- A New Contingency Axiomatic System For Rough sets -- Health index construction and remaining useful life prediction of mechanical axis based on action cycle similarity -- Approximation Relation For Rough Sets -- The effect of organizational learning ability on innovative behavior of scientific research personnel in universities -- ABAC: Anonymous Bilateral Access Control Protocol with Traceability for Fog-Assisted Mobile Crowdsensing -- Sector Error-Oriented Durability-Aware Fast Repair in Erasure-Coded Cloud Storage Systems -- ACT: anonymous consensus based on Tor -- Medical Image Fusion Based on Undecimated Dual-tree Complex Wavelet Transform and NSCT -- A Multi-branch Ensemble Agent Network for Multi-Agent Reinforcement Learning. Tipo de medio : Computadora Summary : This two-volume set, CCIS 1453 and CCIS 1454, constitutes refereed proceedings of the 6th International Conference on Data Mining and Big Data, DMBD 2021, held in Guangzhou, China, in October 2021. The 57 full papers and 28 short papers presented in this two-volume set were carefully reviewed and selected from 258 submissions. The papers present the latest research on advantages in theories, technologies, and applications in data mining and big data. The volume covers many aspects of data mining and big data as well as intelligent computing methods applied to all fields of computer science, machine learning, data mining and knowledge discovery, data science, etc. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Encyclopedia of Big Data Technologies Tipo de documento: documento electrónico Autores: Sakr, Sherif, ; Zomaya, Albert, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2019 Número de páginas: 429 ilustraciones, 233 ilustraciones en color. eReference. ISBN/ISSN/DL: 978-3-319-77525-8 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: Grandes datos Red de computadoras Investigación cuantitativa Redes de comunicación informática Análisis de datos y Big Data Clasificación: 005.7 Resumen: La Enciclopedia de TecnologÃas de Big Data proporciona a investigadores, educadores, estudiantes y profesionales de la industria una autoridad integral sobre los conceptos más relevantes de la tecnologÃa de Big Data. Con más de 250 artÃculos escritos por expertos en la materia de todo el mundo, tanto de la industria como del mundo académico, la enciclopedia cubre temas como sistemas de almacenamiento de big data, bases de datos NoSQL, computación en la nube, sistemas distribuidos, procesamiento de datos, gestión de datos, aprendizaje automático y tecnologÃas sociales, ciencia de datos. . Cada entrada altamente estructurada y revisada por pares proporciona al lector terminologÃa básica, resúmenes de temas, resultados clave de investigación, ejemplos de aplicaciones, direcciones futuras, referencias cruzadas y una bibliografÃa. Las entradas son expositivas y tutoriales, lo que hace de esta referencia un recurso práctico para estudiantes, académicos o profesionales. Además, el distinguido consejo editorial internacional de la enciclopedia está formado por académicos muy respetados, cada uno de los cuales desarrolla temas basados ​​en su experiencia. Tipo de medio : Computadora Summary : The Encyclopedia of Big Data Technologies provides researchers, educators, students and industry professionals with a comprehensive authority over the most relevant Big Data Technology concepts. With over 250 articles written by worldwide subject matter experts from both industry and academia, the encyclopedia covers topics such as big data storage systems, NoSQL database, cloud computing, distributed systems, data processing, data management, machine learning and social technologies, data science. Each peer-reviewed, highly structured entry provides the reader with basic terminology, subject overviews, key research results, application examples, future directions, cross references and a bibliography. The entries are expository and tutorial, making this reference a practical resource for students, academics, or professionals. In addition, the distinguished, international editorial board of the encyclopedia consists of well-respected scholars, each developing topics based upon their expertise. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Encyclopedia of Big Data Technologies [documento electrónico] / Sakr, Sherif, ; Zomaya, Albert, . - 1 ed. . - [s.l.] : Springer, 2019 . - 429 ilustraciones, 233 ilustraciones en color. eReference.
ISBN : 978-3-319-77525-8
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: Grandes datos Red de computadoras Investigación cuantitativa Redes de comunicación informática Análisis de datos y Big Data Clasificación: 005.7 Resumen: La Enciclopedia de TecnologÃas de Big Data proporciona a investigadores, educadores, estudiantes y profesionales de la industria una autoridad integral sobre los conceptos más relevantes de la tecnologÃa de Big Data. Con más de 250 artÃculos escritos por expertos en la materia de todo el mundo, tanto de la industria como del mundo académico, la enciclopedia cubre temas como sistemas de almacenamiento de big data, bases de datos NoSQL, computación en la nube, sistemas distribuidos, procesamiento de datos, gestión de datos, aprendizaje automático y tecnologÃas sociales, ciencia de datos. . Cada entrada altamente estructurada y revisada por pares proporciona al lector terminologÃa básica, resúmenes de temas, resultados clave de investigación, ejemplos de aplicaciones, direcciones futuras, referencias cruzadas y una bibliografÃa. Las entradas son expositivas y tutoriales, lo que hace de esta referencia un recurso práctico para estudiantes, académicos o profesionales. Además, el distinguido consejo editorial internacional de la enciclopedia está formado por académicos muy respetados, cada uno de los cuales desarrolla temas basados ​​en su experiencia. Tipo de medio : Computadora Summary : The Encyclopedia of Big Data Technologies provides researchers, educators, students and industry professionals with a comprehensive authority over the most relevant Big Data Technology concepts. With over 250 articles written by worldwide subject matter experts from both industry and academia, the encyclopedia covers topics such as big data storage systems, NoSQL database, cloud computing, distributed systems, data processing, data management, machine learning and social technologies, data science. Each peer-reviewed, highly structured entry provides the reader with basic terminology, subject overviews, key research results, application examples, future directions, cross references and a bibliography. The entries are expository and tutorial, making this reference a practical resource for students, academics, or professionals. In addition, the distinguished, international editorial board of the encyclopedia consists of well-respected scholars, each developing topics based upon their expertise. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
