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Full Description
The four-volume set LNCS constitutes the refereed proceedings of the 9th International Joint Conference on Web and Big Data, APWeb-WAIM 2025, held in Shenyang, China, during August 28-30, 2025.
The 136 full papers and 15 short papers presented in these proceedings were carefully reviewed and selected from 472 submissions. The papers are organized in the following topical sections:
Part I: Data Mining I; Machine Learning I; Information Retrieval and Knowledge Management I; Graph Data Management andAnalytics I; Complex Data Management.
Part II: Complex Data Management; Spatial and Temporal Data Management; Data Privacy and Trusted AI; Data Management on New Hardwares; Query Processing and Optimization; Data Mining II.
Part III: Data Mining II; Machine Learning II; Information Retrieval and Knowledge Management II; Graph Data Management andAnalytics II; Big Data Management.
Part IV: Big Data Management; LLM for Data Management; Information Retrieval; Demonstration Paper; Industry Paper.
Contents
.- 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.



