Web and Big Data

Web and Big Data portes grátis

Web and Big Data

9th International Joint Conference, APWeb-WAIM 2025, Shenyang, China, August 28-30, 2025, Proceedings, Part IV

Zong, Chuanyu; Li, Jiajia; Li, Lei; Zhang, Mengxuan; Zhang, Yanfeng; Chbeir, Richard

Springer Verlag, Singapore

02/2026

371

Mole

Inglês

9789819557219

15 a 20 dias

Descrição não disponível.
.- Big Data Management.


.- Reputation-based Blockchain Node Reallocation in Heterogeneous Networks.


.- Core-set Selection Considering Parties Honesty in Vertical Federated Learning.


.- Auxiliary Variables Enhanced intra- and inter-Series Tokenization for Multivariate Time Series
Forecasting.


.- QUEST: Query-Aware Learned Metric Index for Similarity Search.


.- CFEO: Causal Feature Extraction and Optimization for Cross-Domain Text Classification.


.- A Data-Balanced and Privacy-Preserving Incentive Mechanism for Federated Learning based on
MADRL.


.- LLM for Data Management.


.- Word Pair Information is Important for Nested Named Entity Recognition.


.- KAN-Based Dynamic Relational Meta-Learning for Few-Shot Knowledge Graph Completion.


.- Contrastive Learning Enhanced Semi-supervisedAnomaly Detection.


.- Personalized text-to-image generation using semantically enhanced diffusion models.


.- MIMIC-RxBench: Benchmarking Large Language Models for Prescription Error Classification.


.- Evaluating the Performance of Large Language Models on a Multi-label Classification Task.


.- Prompt-Partitioned Multi-Task Learning for Universal Sentence Representations.


.- Information Retrieval.


.- Resolving Memory Challenges in Cluster Computing Systems Via StratifiedAsymptotic Sampling for
Big Data Classification.


.- Optimizing Real-time Complex Event Processing Parameter-driven Selection Policy.


.- Frame-wise Multimodal Retrieval in Video Corpus with Contrastive Learning.


.- Dynamic Hybrid Retrieval for Materials Science: Optimizing Information Systems for Numerical and
Symbol-Intensive Knowledge Processing.


.- Efficient High Utility Co-location Pattern Mining under Positive and Negative Utility Constraints.


.- LFS: Efficient Account Migration across Sharded Blockchains via Lock-Free Scheduling.


.- ProteinMM:Adaptive Multi-View and Task-Grouped Evolutionary Learning for Prediction of Protein
Structural Features.


.- SFusionNet: Airport Passenger Flow Prediction Model Based on Fusion Network.


.- Demonstration Paper.


.- SocialED:APython Library for Social Event Detection.


.- Demonstrating SpectralCrawler: a Framework for Physical-based Integration of Heterogeneous
Ground Object Spectral Libraries from the Web.


.- INRCM:An Improvable Neighbor Relationship's Co-location Miner.


.- Demonstrating an Efficient System for Fast Processing and Visualization of BigAirborne Full
Waveform LiDAR Data.


.- APES: Interactive Pattern Mining System Based on Cross-Entropy Probability Modeling.


.- Antigen: HighwayAbnormal Event Detection System Driven by Roadside Edge Computing.


.- Egret: Massive Highway Monitoring Time Series Data Sharing System.


.- A Privacy-Preserving Semantic Trajectory Query System in Cloud-Fog Collaborative Environments.


.- DCPCPM:AMiner For Discovering Concise Prevalent Co-location Patterns.


.- SPUS-Agent: LLM-Based Intelligent Agent for Subjective Perception of Urban Streets.


.- KIMII: ASystem for Highway Key Information Identification and Multi-Source Data Integration.


.- SHMComp:AMultifunctional System for Highway Structural Health Monitoring Data Compression.


.- VEkNN:Verifiable and Encrypted kNN Search over High-Dimensional Vectors.


.- Industry Paper.


.- MLLM-Based Evaluation and Enhancement of Open-Set Object Detection DatasetAnnotations.


.- BitalosDB: Partitioned Key-Value Storage Engine for Lower WriteAmplification.


.- LLMATCH: aUnified Schema Matching Framework with Large Language Models.


.- FasterTune: A New Paradigm for Database Tuning with Large Language Models and Bayesian
Optimization.
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Machine Learning;Data mining;Graph data, RDF, social networks;Natural language processing;Knowledge graphs;Recommender systems;Representation learning;Parallel and distributed data management;Data engineering for big remote sensing data;Information retrieval;Security, privacy, and trusted AI;Query processing and optimization;Streams, complex event processing;Spatial and temporal databases;Block chain models and applications;Graph and social network analysis;Information extraction;Advanced database and Web applications;Big data management;Data management on new hardwares