| TÃtulo : |
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 [Malasya] : 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. |
| 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 |
| Ãndice Dewey: |
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. |
| 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 |
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 [Malasya] : 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.
| 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 |
| Ãndice Dewey: |
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. |
| 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 |
|  |
6th International Conference, DMBD 2021, Guangzhou, China, October 20–22, 2021, Proceedings, Part I
