Big Data
Springer Nature Switzerland AG (Verlag)
978-981-96-1023-5 (ISBN)
"This book constitutes the refereed proceedings of the 12th CCF Conference on BigData 2024, which took place in Qingdao, China, in August 2024" to "This book constitutes the refereed proceedings of the 12th CCF Conference on BigData 2024, which took place in Qingdao, China, during 9-11 August, 2024.
The 26 full papers presented in this volume were carefully reviewed and selected from 219 submissions. The topics of accepted papers include Big data, Data Science, System Architecture and Infrastructure, Storage Management, Parallel Computing, Analysis Mining and Intelligent Computing, Collection and Preprocessing, Governance.
.- A Flexible Knowledge Graph Error Detection Framework Combined with Semantic Information.
.- Session-level Normalization and Click-through Data Enhancement for Session-based Evaluation.
.- A Multi-Dimensional Early Warning Mechanism for Biological Invasions: A Case Study of Vespa Mandarinia.
.- DLP-FR: Learning Predictable Degradation for Robust Blind Face Restoration.
.- A joint relation extraction model utilizing message passing mechanism for feature fusion to alleviate FN problem from distant supervision.
.- Urban Traffic Management: A Predictive Approach Using Mobile Phone Data.
.- FedPSED: Federated Public Safety Emergency Detection Based on Adaptive Aggregation Strategy.
.- Evaluation of Retrieval-Augmented Generation: A Survey.
.- CMNet: Fast Time Series Forecasting Based on Hybrid Convolution-MLP Architecture.
.- A Domain Adaptive Based Reinforcement Learning Algorithm for Job Shop Scheduling Problems.
.- Large-scale Data Generation Using SWLBM on the Sunway TaihuLight Supercomputer and Subsequent Data Mining with Physics-Informed Neural Networks.
.- Enhancing Interaction Graph of Data Schema and Syntactic Structure with Pre-trained Language Model for Text-to-SQL.
.- Spatial Evolution Analysis of the Level of Digital Economy Development in China.
.- Predicting Calibrated Conversion Rate of Online Advertising Using a Multi-Task Mixture-of-Experts Calibration Model.
.- A Transformer-based Spatio-temporal Graph Neural Network for Anomaly Detection on Dynamic Graphs.
.- Morphological Semantic Ensemble Filtering of Massive Sentence Pairs for Neural Machine Translation.
.- Improving Event-Level Financial Sentiment Analysis with Retrieval-Augmented Multipath Chain-of-Thought Prompting.
.- POSRho:Efficient Spearman's Rho Calculation for Big Data.
.- A Fusion Tuning Method for Named Entity Recognition.
.- Design of AXI Bus-Based IP Core for Image Processing.
.- Automated Clinical Summary Generation Via Integrating Structured and Unstructured Data.
.- A Review on Deep Learning for Sequential Recommendation Systems: Key Technologies and Directions.
.- TrajUT: Intruder Trajectory Recovery on Utility Tunnel via Video Surveillance Systems.
.- Spatio-temporal Graph Fusion Network-based Multivariate Time Series Forecasting of Environmental Factors in Utility Tunnels.
.- Improving spatial co-location pattern mining with enhanced neighbor relationship measures.
.- PFG: Generation of Paper-Style Handwritten Formulas for Enhancing Handwritten Mathematical Expression Recognition.
| Erscheinungsdatum | 24.01.2025 |
|---|---|
| Reihe/Serie | Communications in Computer and Information Science |
| Zusatzinfo | 107 Illustrations, color; 6 Illustrations, black and white |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Schlagworte | Big data applications • Blockchain • computer vision • Data Mining • Deep learning • graph neural network • knowledge tracing • Large-scale model training • machine learning • Multiple Time Series Forecasting • transfer learning |
| ISBN-10 | 981-96-1023-0 / 9819610230 |
| ISBN-13 | 978-981-96-1023-5 / 9789819610235 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
