Big Data
portes grátis
Big Data
13th CCF Conference, BigData 2025, Tianjin, China, September 12-14, 2025, Proceedings
Xiong, Hui; Liu, Xueli; Li, Keqiu; Cheng, Dawei; Zhu, Xiaofei
Springer Verlag, Singapore
04/2026
404
Mole
Inglês
9789819584468
Pré-lançamento - envio 15 a 20 dias após a sua edição
Descrição não disponível.
.- SlideDP: A Time-Aware and Private Sketch for Cardinality Estimation over Sliding Windows.
.- PreSL: Document Level Pre-training of Scientific Literature via Self-supervised Learning.
.- EACon: Finding Key Information for Claim Verification.
.- An AI-Powered System for Predicting Energy Consumption in Ore Comminution Operations.
.- PMTS: Parameter Masking meets Temporal Smoothness in Backdoor Defense for Federated Learning.
.- AFLA-V2VDA: A Virtual-real Domain Adaptation Method for V2V Collaborative Object Detection.
.- DLSFNet: A Modular Architecture for Long-Term Time Series Forecasting via Structural Decoupling and Multi-Scale Feature Fusion.
.- A Gated Attention Transformer with Dynamic Spatio-Temporal Decoupling for Traffic Flow Prediction.
.- HMSC-FuseMaskNet: A Hybrid Multi-Source Neural Architecture for Context-Aware Data Security Classification.
.- Dynamic Pattern-Aware Privacy Protection for Data Streams via Local Differential Privacy.
.- Heterogeneous Graph Neural Network Based on Self-Knowledge Distillation and Transformer.
.- Causality-Informed Machine Learning for ICU Length of Stay Prediction: A Healthcare Case Study.
.- LTE-DETR: Long-Tail Scenes Object Detection via Enhanced Feature Representation.
.- Dual-branch Transformer with Temporal-Feature Fusion for Multivariate Time Series Imputation.
.- Heterogeneous Graph Neural Network Based on Self-Knowledge Distillation and Transformer.
.- PCNNSR: Facial Image Super-Resolution via Pulse-Coupled Neural Network Attention Mechanism.
.- Retrieval-Augmented Generation for News Recommendation.
.- Semi-Supervised Classification Based on Abductive Learning.
.- Shortest Path Tree Maximize Node Influence Propagation in Complex Networks.
.- BSGCL: Boosting Scene Graph Completeness and Localization under Weak Supervision.
.- Multi-Modal LLM based Image Captioning in ICT: Bridging the Gap Between General and Industry Domain.
.- PNRM: A Pre-training News Recommendation Model with Contrastive Sampling.
.- M2STFormer: A Mixture-of-Experts Multi-Level Spatio-Temporal Transformer for Traffic Flow Prediction.
.- QAugment-Summary: Multi-Stage Summarization and Question Decomposition for Open-Domain QA.
.- M3Bench: A Benchmark for Multi-Model Databases on Analytical Query and In-Database Machine Learning Workloads.
.- PreSL: Document Level Pre-training of Scientific Literature via Self-supervised Learning.
.- EACon: Finding Key Information for Claim Verification.
.- An AI-Powered System for Predicting Energy Consumption in Ore Comminution Operations.
.- PMTS: Parameter Masking meets Temporal Smoothness in Backdoor Defense for Federated Learning.
.- AFLA-V2VDA: A Virtual-real Domain Adaptation Method for V2V Collaborative Object Detection.
.- DLSFNet: A Modular Architecture for Long-Term Time Series Forecasting via Structural Decoupling and Multi-Scale Feature Fusion.
.- A Gated Attention Transformer with Dynamic Spatio-Temporal Decoupling for Traffic Flow Prediction.
.- HMSC-FuseMaskNet: A Hybrid Multi-Source Neural Architecture for Context-Aware Data Security Classification.
.- Dynamic Pattern-Aware Privacy Protection for Data Streams via Local Differential Privacy.
.- Heterogeneous Graph Neural Network Based on Self-Knowledge Distillation and Transformer.
.- Causality-Informed Machine Learning for ICU Length of Stay Prediction: A Healthcare Case Study.
.- LTE-DETR: Long-Tail Scenes Object Detection via Enhanced Feature Representation.
.- Dual-branch Transformer with Temporal-Feature Fusion for Multivariate Time Series Imputation.
.- Heterogeneous Graph Neural Network Based on Self-Knowledge Distillation and Transformer.
.- PCNNSR: Facial Image Super-Resolution via Pulse-Coupled Neural Network Attention Mechanism.
.- Retrieval-Augmented Generation for News Recommendation.
.- Semi-Supervised Classification Based on Abductive Learning.
.- Shortest Path Tree Maximize Node Influence Propagation in Complex Networks.
.- BSGCL: Boosting Scene Graph Completeness and Localization under Weak Supervision.
.- Multi-Modal LLM based Image Captioning in ICT: Bridging the Gap Between General and Industry Domain.
.- PNRM: A Pre-training News Recommendation Model with Contrastive Sampling.
.- M2STFormer: A Mixture-of-Experts Multi-Level Spatio-Temporal Transformer for Traffic Flow Prediction.
.- QAugment-Summary: Multi-Stage Summarization and Question Decomposition for Open-Domain QA.
.- M3Bench: A Benchmark for Multi-Model Databases on Analytical Query and In-Database Machine Learning Workloads.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Foundations and Methods of Data Science;Big Data Collection, Acquisition, and Preprocessing Technologies;Industry-Specific Big Data and Large Models;Big Data System Architecture and Infrastructure;Optimization Modeling and Algorithms for Big Data Problems;Big Data Privacy and Security Protection;Big Data Storage Management Models, Technologies, and Systems;Generative Models for Big Data: Theory and Technology;Big Data Visualization, Analytics, and Computation;Parallel Computing Models, Frameworks, and Systems for Big Data;Data Element Technologies, Methods, and Standards;Big Data Applications in Industry and Government;Computing Power Network: Models, Theories, and Technologies;Big Data Governance Technologies and Tools;Cloud-Native Big Data System Platform Technologies;Big Data Sharing and Open Technologies, Methods, and Standards;Big Data System Solutions and Tool Platforms;Big Data Analytics, Mining, and Intelligent Computing Methods;Modeling and Application of Web/Network Big Data;Optimization and Practical Applications of Mainstream
.- SlideDP: A Time-Aware and Private Sketch for Cardinality Estimation over Sliding Windows.
.- PreSL: Document Level Pre-training of Scientific Literature via Self-supervised Learning.
.- EACon: Finding Key Information for Claim Verification.
.- An AI-Powered System for Predicting Energy Consumption in Ore Comminution Operations.
.- PMTS: Parameter Masking meets Temporal Smoothness in Backdoor Defense for Federated Learning.
.- AFLA-V2VDA: A Virtual-real Domain Adaptation Method for V2V Collaborative Object Detection.
.- DLSFNet: A Modular Architecture for Long-Term Time Series Forecasting via Structural Decoupling and Multi-Scale Feature Fusion.
.- A Gated Attention Transformer with Dynamic Spatio-Temporal Decoupling for Traffic Flow Prediction.
.- HMSC-FuseMaskNet: A Hybrid Multi-Source Neural Architecture for Context-Aware Data Security Classification.
.- Dynamic Pattern-Aware Privacy Protection for Data Streams via Local Differential Privacy.
.- Heterogeneous Graph Neural Network Based on Self-Knowledge Distillation and Transformer.
.- Causality-Informed Machine Learning for ICU Length of Stay Prediction: A Healthcare Case Study.
.- LTE-DETR: Long-Tail Scenes Object Detection via Enhanced Feature Representation.
.- Dual-branch Transformer with Temporal-Feature Fusion for Multivariate Time Series Imputation.
.- Heterogeneous Graph Neural Network Based on Self-Knowledge Distillation and Transformer.
.- PCNNSR: Facial Image Super-Resolution via Pulse-Coupled Neural Network Attention Mechanism.
.- Retrieval-Augmented Generation for News Recommendation.
.- Semi-Supervised Classification Based on Abductive Learning.
.- Shortest Path Tree Maximize Node Influence Propagation in Complex Networks.
.- BSGCL: Boosting Scene Graph Completeness and Localization under Weak Supervision.
.- Multi-Modal LLM based Image Captioning in ICT: Bridging the Gap Between General and Industry Domain.
.- PNRM: A Pre-training News Recommendation Model with Contrastive Sampling.
.- M2STFormer: A Mixture-of-Experts Multi-Level Spatio-Temporal Transformer for Traffic Flow Prediction.
.- QAugment-Summary: Multi-Stage Summarization and Question Decomposition for Open-Domain QA.
.- M3Bench: A Benchmark for Multi-Model Databases on Analytical Query and In-Database Machine Learning Workloads.
.- PreSL: Document Level Pre-training of Scientific Literature via Self-supervised Learning.
.- EACon: Finding Key Information for Claim Verification.
.- An AI-Powered System for Predicting Energy Consumption in Ore Comminution Operations.
.- PMTS: Parameter Masking meets Temporal Smoothness in Backdoor Defense for Federated Learning.
.- AFLA-V2VDA: A Virtual-real Domain Adaptation Method for V2V Collaborative Object Detection.
.- DLSFNet: A Modular Architecture for Long-Term Time Series Forecasting via Structural Decoupling and Multi-Scale Feature Fusion.
.- A Gated Attention Transformer with Dynamic Spatio-Temporal Decoupling for Traffic Flow Prediction.
.- HMSC-FuseMaskNet: A Hybrid Multi-Source Neural Architecture for Context-Aware Data Security Classification.
.- Dynamic Pattern-Aware Privacy Protection for Data Streams via Local Differential Privacy.
.- Heterogeneous Graph Neural Network Based on Self-Knowledge Distillation and Transformer.
.- Causality-Informed Machine Learning for ICU Length of Stay Prediction: A Healthcare Case Study.
.- LTE-DETR: Long-Tail Scenes Object Detection via Enhanced Feature Representation.
.- Dual-branch Transformer with Temporal-Feature Fusion for Multivariate Time Series Imputation.
.- Heterogeneous Graph Neural Network Based on Self-Knowledge Distillation and Transformer.
.- PCNNSR: Facial Image Super-Resolution via Pulse-Coupled Neural Network Attention Mechanism.
.- Retrieval-Augmented Generation for News Recommendation.
.- Semi-Supervised Classification Based on Abductive Learning.
.- Shortest Path Tree Maximize Node Influence Propagation in Complex Networks.
.- BSGCL: Boosting Scene Graph Completeness and Localization under Weak Supervision.
.- Multi-Modal LLM based Image Captioning in ICT: Bridging the Gap Between General and Industry Domain.
.- PNRM: A Pre-training News Recommendation Model with Contrastive Sampling.
.- M2STFormer: A Mixture-of-Experts Multi-Level Spatio-Temporal Transformer for Traffic Flow Prediction.
.- QAugment-Summary: Multi-Stage Summarization and Question Decomposition for Open-Domain QA.
.- M3Bench: A Benchmark for Multi-Model Databases on Analytical Query and In-Database Machine Learning Workloads.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Foundations and Methods of Data Science;Big Data Collection, Acquisition, and Preprocessing Technologies;Industry-Specific Big Data and Large Models;Big Data System Architecture and Infrastructure;Optimization Modeling and Algorithms for Big Data Problems;Big Data Privacy and Security Protection;Big Data Storage Management Models, Technologies, and Systems;Generative Models for Big Data: Theory and Technology;Big Data Visualization, Analytics, and Computation;Parallel Computing Models, Frameworks, and Systems for Big Data;Data Element Technologies, Methods, and Standards;Big Data Applications in Industry and Government;Computing Power Network: Models, Theories, and Technologies;Big Data Governance Technologies and Tools;Cloud-Native Big Data System Platform Technologies;Big Data Sharing and Open Technologies, Methods, and Standards;Big Data System Solutions and Tool Platforms;Big Data Analytics, Mining, and Intelligent Computing Methods;Modeling and Application of Web/Network Big Data;Optimization and Practical Applications of Mainstream
