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E-raamat: Web and Big Data: 9th International Joint Conference, APWeb-WAIM 2025, Shenyang, China, August 28-30, 2025, Proceedings, Part IV

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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 2830, 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.
.- 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 Relationships 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.